{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from selenium import webdriver\n",
    "from selenium.webdriver.common.by import By\n",
    "from selenium.webdriver.support.ui import WebDriverWait\n",
    "from selenium.webdriver.support import expected_conditions as EC\n",
    "import json\n",
    "import re\n",
    "from scipy import stats\n",
    "import time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_paper_links_scrape(posters=0):\n",
    "    # paper_link_CSS = 'ul > li > h4 > a:nth-child(1)'\n",
    "    session = webdriver.Chrome()\n",
    "    session.implicitly_wait(10)\n",
    "    session.get('https://openreview.net/group?id=ICLR.cc/2019/Conference')\n",
    "    paper_links = set()\n",
    "    if posters == 1:\n",
    "        session.find_element_by_css_selector('#notes > div > ul > li:nth-child(2) > a').click()\n",
    "    elif posters == 2:\n",
    "        session.find_element_by_css_selector('#notes > div > ul > li:nth-child(3) > a').click()\n",
    "\n",
    "    header = 'accepted-oral-papers'\n",
    "    if posters == 1:\n",
    "        header = 'accepted-poster-papers'\n",
    "    elif posters==2:\n",
    "        header = 'rejected-papers'\n",
    "    paper_link_CSS = f'#{header} > ul > li > h4 > a:nth-child(1)'\n",
    "    prev_len = []\n",
    "    for i in range(100):\n",
    "        session.execute_script(\"window.scrollTo(0, document.body.scrollHeight);\")\n",
    "        new_papers = set(session.find_elements_by_css_selector(paper_link_CSS))\n",
    "        new_papers = set([i.get_attribute('href') for i in new_papers])\n",
    "        paper_links = paper_links.union(new_papers)\n",
    "        time.sleep(1)\n",
    "        if len(prev_len) > 5 and len(paper_links) == prev_len[-5]:\n",
    "            break\n",
    "        prev_len.append(len(paper_links))\n",
    "    new_papers = set(session.find_elements_by_css_selector(paper_link_CSS))\n",
    "    new_papers = set([i.get_attribute('href') for i in new_papers])\n",
    "    paper_links = paper_links.union(new_papers)\n",
    "    session.close()\n",
    "    return paper_links"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_paper_links_load(filename):\n",
    "    return [i['url'] for i in json.load(open(filename))]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "paper_links = get_paper_links_scrape(2) | get_paper_links_scrape(1) | get_paper_links_scrape(0)\n",
    "# paper_links = get_paper_links_load('data/iclr2018.json')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1579\n"
     ]
    }
   ],
   "source": [
    "paper_links = list(paper_links)\n",
    "papers = {}\n",
    "print(len(paper_links))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 https://openreview.net/forum?id=HkzL4hR9Ym\n",
      "['Olivier Tieleman', 'Angeliki Lazaridou', 'Shibl Mourad', 'Charles Blundell', 'Doina Precup'] ['google.com']\n",
      "1 https://openreview.net/forum?id=ByGUFsAqYm\n",
      "['Adityanarayanan Radhakrishnan', 'Caroline Uhler', 'Mikhail Belkin'] ['cse.ohio-state.edu', 'mit.edu']\n",
      "2 https://openreview.net/forum?id=BJgsN3R9Km\n",
      "['Samyam Rajbhandari', 'Harsh Shrivastava', 'Yuxiong He'] ['microsoft.com', 'gatech.edu']\n",
      "3 https://openreview.net/forum?id=rylIy3R9K7\n",
      "['Songtao Lu', 'Rahul Singh', 'Xiangyi Chen', 'Yongxin Chen', 'Mingyi Hong'] ['gatech.edu', 'umn.edu']\n",
      "4 https://openreview.net/forum?id=S1eK3i09YQ\n",
      "['Simon S. Du', 'Xiyu Zhai', 'Barnabas Poczos', 'Aarti Singh'] ['cs.cmu.edu', 'mit.edu', 'cmu.edu']\n",
      "5 https://openreview.net/forum?id=r1gKNs0qYX\n",
      "['Lei Gu'] ['uci.edu']\n",
      "6 https://openreview.net/forum?id=rkMD73A5FX\n",
      "['Michael Tsang', 'Youbang Sun', 'Dongxu Ren', 'Beibei Xin', 'Yan Liu'] ['usc.edu', 'mails.tsinghua.edu.cn', 'mail.ustc.edu.cn']\n",
      "7 https://openreview.net/forum?id=rygrBhC5tQ\n",
      "['Youngwoon Lee*', 'Shao-Hua Sun*', 'Sriram Somasundaram', 'Edward S. Hu', 'Joseph J. Lim'] ['usc.edu']\n",
      "8 https://openreview.net/forum?id=rkeMHjR9Ym\n",
      "['Samet Oymak'] ['gmail.com']\n",
      "9 https://openreview.net/forum?id=r1V0m3C5YQ\n",
      "['John Thickstun', 'Zaid Harchaoui', 'Dean P. Foster', 'Sham M. Kakade'] ['uw.edu', 'cs.washington.edu', 'foster.net']\n",
      "10 https://openreview.net/forum?id=rylBZ305KQ\n",
      "['Edouard Delasalles', 'Sylvain Lamprier', 'Ludovic Denoyer'] ['lip6.fr']\n",
      "11 https://openreview.net/forum?id=r1eO_oCqtQ\n",
      "['Matthew Thornton', 'Jithendar Anumula', 'Shih-Chii Liu'] ['gmail.com', 'ini.uzh.ch']\n",
      "12 https://openreview.net/forum?id=Syl6tjAqKX\n",
      "['Andrey Sakryukin', 'Yongkang Wong', 'Mohan S. Kankanhalli'] ['nus.edu.sg', 'comp.nus.edu.sg', 'u.nus.edu']\n",
      "13 https://openreview.net/forum?id=S1gBz2C9tX\n",
      "['Matthew Schlegel', 'Wesley Chung', 'Daniel Graves', 'Martha White'] ['ualberta.ca', 'huawei.com']\n",
      "14 https://openreview.net/forum?id=HJxyAjRcFX\n",
      "['Soochan Lee', 'Junsoo Ha', 'Gunhee Kim'] ['gmail.com', 'vision.snu.ac.kr', 'snu.ac.kr']\n",
      "15 https://openreview.net/forum?id=rJxug2R9Km\n",
      "['Amr Sharaf', 'Hal Daumé III'] ['umiacs.umd.edu', 'cs.umd.edu']\n",
      "16 https://openreview.net/forum?id=HJgODj05KX\n",
      "['Alexandru Onose', 'Seyed Iman Mossavat', 'Henk-Jan H. Smilde'] ['asml.com']\n",
      "17 https://openreview.net/forum?id=ryepUj0qtX\n",
      "['Bo Kang', 'Jefrey Lijffijt', 'Tijl De Bie'] ['ugent.be']\n",
      "18 https://openreview.net/forum?id=ByleB2CcKm\n",
      "['Karan Goel', 'Emma Brunskill'] ['gmail.com', 'cs.stanford.edu']\n",
      "19 https://openreview.net/forum?id=H1lnJ2Rqt7\n",
      "['Zhewei Yao', 'Amir Gholami', 'Kurt Keutzer', 'Michael Mahoney'] ['stat.berkeley.edu', 'berkeley.edu']\n",
      "20 https://openreview.net/forum?id=r1laEnA5Ym\n",
      "['Gauthier Gidel', 'Hugo Berard', 'Gaëtan Vignoud', 'Pascal Vincent', 'Simon Lacoste-Julien'] ['gmail.com', 'umontreal.ca', 'iro.umontreal.ca']\n",
      "21 https://openreview.net/forum?id=B1eZCjA9KX\n",
      "['Tianze Shi', 'Kedar Tatwawadi', 'Kaushik Chakrabarti', 'Yi Mao', 'Oleksandr Polozov', 'Weizhu Chen'] ['microsoft.com', 'cs.cornell.edu', 'stanford.edu']\n",
      "22 https://openreview.net/forum?id=HkG3e205K7\n",
      "['George Tucker', 'Dieterich Lawson', 'Shixiang Gu', 'Chris J. Maddison'] ['nyu.edu', 'google.com']\n",
      "23 https://openreview.net/forum?id=Syx72jC9tm\n",
      "['Haggai Maron', 'Heli Ben-Hamu', 'Nadav Shamir', 'Yaron Lipman'] ['gmail.com', 'weizmann.ac.il']\n",
      "24 https://openreview.net/forum?id=Bye9LiR9YX\n",
      "['Guido Novati', 'Petros Koumoutsakos'] ['ethz.ch']\n",
      "25 https://openreview.net/forum?id=ryxY73AcK7\n",
      "['Cem Anil', 'James Lucas', 'Roger B. Grosse'] ['cs.toronto.edu', 'mail.utoronto.ca']\n",
      "26 https://openreview.net/forum?id=HJGven05Y7\n",
      "['Antreas Antoniou', 'Harrison Edwards', 'Amos Storkey'] ['sms.ed.ac.uk', 'sms.ac.uk']\n",
      "27 https://openreview.net/forum?id=HklyMhCqYQ\n",
      "['Ke Li*', 'Shichong Peng*', 'Jitendra Malik'] ['eecs.berkeley.edu', 'mail.utoronto.ca']\n",
      "28 https://openreview.net/forum?id=r1eEG20qKQ\n",
      "['Matthew Mackay', 'Paul Vicol', 'Jonathan Lorraine', 'David Duvenaud', 'Roger Grosse'] ['cs.toronto.edu']\n",
      "29 https://openreview.net/forum?id=SkNSehA9FQ\n",
      "['Milan Cvitkovic', 'Badal Singh', 'Anima Anandkumar'] ['caltech.edu', 'amazon.com']\n",
      "30 https://openreview.net/forum?id=rygo9iR9F7\n",
      "['Shaokai Ye', 'Tianyun Zhang', 'Kaiqi Zhang', 'Jiayu Li', 'Kaidi Xu', 'Yunfei Yang', 'Fuxun Yu', 'Jian Tang', 'Makan Fardad', 'Sijia Liu', 'Xiang Chen', 'Xue Lin', 'Yanzhi Wang'] ['ibm.com', 'syr.edu', 'northeastern.edu', 'gmu.edu', 'husky.neu.edu', 'gmail.com']\n",
      "31 https://openreview.net/forum?id=SJequsCqKQ\n",
      "['Yotam Hechtlinger', 'Barnabas Poczos', 'Larry Wasserman'] ['andrew.cmu.edu', 'cs.cmu.edu', 'cmu.edu']\n",
      "32 https://openreview.net/forum?id=By41BjA9YQ\n",
      "['Stanley J. Osher', 'Bao Wang', 'Penghang Yin', 'Xiyang Luo', 'Minh Pham', 'Alex T. Lin'] ['math.ucla.edu', 'ucla.edu', 'gmail.com', 'g.ucla.edu']\n",
      "33 https://openreview.net/forum?id=Hk4fpoA5Km\n",
      "['Ilya Kostrikov', 'Kumar Krishna Agrawal', 'Debidatta Dwibedi', 'Sergey Levine', 'Jonathan Tompson'] ['gmail.com', 'cs.nyu.edu', 'google.com']\n",
      "34 https://openreview.net/forum?id=r1gVqsA9tQ\n",
      "['Safwan Hossain', 'Kiarash Jamali', 'Yuchen Li', 'Frank Rudzicz'] ['utoronto.ca', 'spoclab.com', 'mail.utoronto.ca']\n",
      "35 https://openreview.net/forum?id=rylxxhRctX\n",
      "['Thomas LUCAS', 'Konstantin SHMELKOV', 'Karteek ALAHARI', 'Cordelia SCHMID'] ['inria.fr']\n",
      "36 https://openreview.net/forum?id=Hkxr1nCcFm\n",
      "['Arthur Guez', 'Mehdi Mirza', 'Karol Gregor', 'Rishabh Kabra', 'Sébastien Racanière', 'Théophane Weber', 'David Raposo', 'Adam Santoro', 'Laurent Orseau', 'Tom Eccles', 'Greg Wayne', 'David Silver', 'Timothy Lillicrap'] ['google.com']\n",
      "37 https://openreview.net/forum?id=Bkg6RiCqY7\n",
      "['Ilya Loshchilov', 'Frank Hutter'] ['gmail.com', 'cs.uni-freiburg.de']\n",
      "38 https://openreview.net/forum?id=HkxOoiAcYX\n",
      "['Ziv Goldfeld', 'Ewout van den Berg', 'Kristjan Greenewald', 'Brian Kingsbury', 'Igor Melnyk', 'Nam Nguyen', 'Yury Polyanskiy'] ['ibm.com', 'mit.edu', 'us.ibm.com']\n",
      "39 https://openreview.net/forum?id=SJz6MnC5YQ\n",
      "['Xiaojie Guo', 'Lingfei Wu', 'Liang Zhao'] ['gmu.edu', 'email.wm.edu']\n",
      "40 https://openreview.net/forum?id=r1e-nj05FQ\n",
      "['Jane X. Wang', 'Edward Hughes', 'Chrisantha Fernando', 'Wojciech M. Czarnecki', 'Edgar A. Duenez-Guzman', 'Joel Z. Leibo'] ['google.com']\n",
      "41 https://openreview.net/forum?id=rJEjjoR9K7\n",
      "['Haohan Wang', 'Zexue He', 'Zachary C. Lipton', 'Eric P. Xing'] ['mail.bnu.edu.cn', 'cs.cmu.edu', 'cmu.edu']\n",
      "42 https://openreview.net/forum?id=HJMCcjAcYX\n",
      "['Yan Zhang', 'Jonathon Hare', 'Adam Prügel-Bennett'] ['ecs.soton.ac.uk']\n",
      "43 https://openreview.net/forum?id=Hkesr205t7\n",
      "['Masahiro Suzuki', 'Yusuke Iwasawa', 'Yutaka Matsuo'] ['weblab.t.u-tokyo.ac.jp']\n",
      "44 https://openreview.net/forum?id=BkgVx3A9Km\n",
      "['Ehsan Amid', 'Manfred K. Warmuth'] ['ucsc.edu']\n",
      "45 https://openreview.net/forum?id=HJlt7209Km\n",
      "['Fuchen Liu', 'Hongwei Shang', 'Hong Zhang'] ['andrew.cmu.edu', 'oath.com']\n",
      "46 https://openreview.net/forum?id=SkVRTj0cYQ\n",
      "['Robin C. Geyer', 'Tassilo J. Klein', 'Moin Nabi'] ['sap.com', 'ethz.ch']\n",
      "47 https://openreview.net/forum?id=r1VmtsC5t7\n",
      "['Tianhang Zheng', 'Changyou Chen', 'Kui Ren'] ['gmail.com', 'buffalo.edu']\n",
      "48 https://openreview.net/forum?id=BklhAj09K7\n",
      "['Kihyuk Sohn', 'Wenling Shang', 'Xiang Yu', 'Manmohan Chandraker'] ['nec-labs.com', 'gmail.com']\n",
      "49 https://openreview.net/forum?id=SklEEnC5tQ\n",
      "['Shoichiro Yamaguchi', 'Masanori Koyama'] ['preferred.jp']\n",
      "50 https://openreview.net/forum?id=ryx3_iAcY7\n",
      "['Dirk Weissenborn', 'Douwe Kiela', 'Jason Weston', 'Kyunghyun Cho'] ['gmail.com', 'nyu.edu', 'fb.com']\n",
      "51 https://openreview.net/forum?id=B1gabhRcYX\n",
      "['Chengzhou Tang', 'Ping Tan'] ['sfu.ca']\n",
      "52 https://openreview.net/forum?id=Byx83s09Km\n",
      "['Nikolay Nikolov', 'Johannes Kirschner', 'Felix Berkenkamp', 'Andreas Krause'] ['inf.ethz.ch', 'ethz.ch', 'imperial.ac.uk']\n",
      "53 https://openreview.net/forum?id=S1EHOsC9tX\n",
      "['Lukas Schott', 'Jonas Rauber', 'Matthias Bethge', 'Wieland Brendel'] ['bethgelab.org']\n",
      "54 https://openreview.net/forum?id=Byxz4n09tQ\n",
      "['Ruishan Liu', 'Nicolo Fusi', 'Lester Mackey'] ['microsoft.com', 'stanford.edu']\n",
      "55 https://openreview.net/forum?id=SkgD4jAcYX\n",
      "['NA'] ['wsu.edu']\n",
      "56 https://openreview.net/forum?id=BygANhA9tQ\n",
      "56 https://openreview.net/forum?id=BygANhA9tQ\n",
      "['Xiao Zhang', 'David Evans'] ['virginia.edu']\n",
      "57 https://openreview.net/forum?id=SkVe3iA9Ym\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Baoxiang Wang', 'Tongfang Sun', 'Xianjun Sam Zheng'] ['gmail.com', 'uw.edu', 'deephow.com']\n",
      "58 https://openreview.net/forum?id=SJfFTjA5KQ\n",
      "['Murphy Yuezhen Niu', 'Lior Horesh', \"Michael O'Keeffe\", 'Isaac Chuang'] ['ll.mit.edu', 'mit.edu', 'us.ibm.com']\n",
      "59 https://openreview.net/forum?id=HylsgnCcFQ\n",
      "['Aravind Sankar', 'Yanhong Wu', 'Liang Gou', 'Wei Zhang', 'Hao Yang'] ['visa.com', 'illinois.edu']\n",
      "60 https://openreview.net/forum?id=B1GIQhCcYm\n",
      "['Samuel Lavoie-Marchildon', 'Sebastien Lachapelle', 'Mikołaj Bińkowski', 'Aaron Courville', 'Yoshua Bengio', 'R Devon Hjelm'] ['gmail.com', 'microsoft.com', 'umontreal.ca']\n",
      "61 https://openreview.net/forum?id=HyxCxhRcY7\n",
      "['Dan Hendrycks', 'Mantas Mazeika', 'Thomas Dietterich'] ['oregonstate.edu', 'berkeley.edu', 'ttic.edu']\n",
      "62 https://openreview.net/forum?id=Hygn2o0qKX\n",
      "['Vaishnavh Nagarajan', 'Zico Kolter'] ['cs.cmu.edu']\n",
      "63 https://openreview.net/forum?id=S1zz2i0cY7\n",
      "['Johannes Ballé', 'Nick Johnston', 'David Minnen'] ['google.com']\n",
      "64 https://openreview.net/forum?id=r1xrb3CqtQ\n",
      "['Yingtao Tian', 'Jesse Engel'] ['cs.stonybrook.edu', 'google.com']\n",
      "65 https://openreview.net/forum?id=rJxpuoCqtQ\n",
      "['Masataro Asai'] ['ibm.com']\n",
      "66 https://openreview.net/forum?id=HylIcj0qFQ\n",
      "['Yoonho Boo', 'Sungho Shin', 'and Wonyong Sung'] ['snu.ac.kr']\n",
      "67 https://openreview.net/forum?id=rkl6As0cF7\n",
      "['Ying Wen', 'Yaodong Yang', 'Rui Luo', 'Jun Wang', 'Wei Pan'] ['cs.ucl.ac.uk', 'tudelft.nl']\n",
      "68 https://openreview.net/forum?id=r1xN5oA5tm\n",
      "['Phi Xuan Nguyen', 'Shafiq Joty'] ['ntu.edu.sg', 'e.ntu.edu.sg']\n",
      "69 https://openreview.net/forum?id=HyeGBj09Fm\n",
      "['Lukas Prantl', 'Boris Bonev', 'Nils Thuerey'] ['tum.de']\n",
      "70 https://openreview.net/forum?id=Bye5OiR5F7\n",
      "['Alex Tong Lin', 'Wuchen Li', 'Stanley Osher', 'Guido Montufar'] ['math.ucla.edu']\n",
      "71 https://openreview.net/forum?id=BJeWUs05KQ\n",
      "['Mohit Sharma', 'Arjun Sharma', 'Nicholas Rhinehart', 'Kris M. Kitani'] ['andrew.cmu.edu', 'cs.cmu.edu']\n",
      "72 https://openreview.net/forum?id=ryxyHnR5tX\n",
      "['Ke Li', 'Jitendra Malik'] ['eecs.berkeley.edu']\n",
      "73 https://openreview.net/forum?id=B1l1b205KX\n",
      "['Wayne Wu', 'Kaidi Cao', 'Cheng Li', 'Chen Qian', 'Chen Change Loy'] ['cs.stanford.edu', 'gmail.com', 'sensetime.com']\n",
      "74 https://openreview.net/forum?id=Bkg2viA5FQ\n",
      "['Paulo Rauber', 'Avinash Ummadisingu', 'Filipe Mutz', 'Jürgen Schmidhuber'] ['ifes.edu.br', 'idsia.ch', 'usi.ch']\n",
      "75 https://openreview.net/forum?id=ByePUo05K7\n",
      "['Gaurav Malhotra', 'Jeffrey Bowers'] ['bristol.ac.uk']\n",
      "76 https://openreview.net/forum?id=H1gMCsAqY7\n",
      "['Jiahui Yu', 'Linjie Yang', 'Ning Xu', 'Jianchao Yang', 'Thomas Huang'] ['snap.com', 'bytedance.com', 'ifp.uiuc.edu', 'illinois.edu']\n",
      "77 https://openreview.net/forum?id=HyxhusA9Fm\n",
      "['Harm de Vries', 'Kurt Shuster', 'Dhruv Batra', 'Devi Parikh', 'Jason Weston', 'Douwe Kiela'] ['gatech.edu', 'fb.com', 'harmdevries.com']\n",
      "78 https://openreview.net/forum?id=BkVvwj0qFm\n",
      "['Yangling Ma', 'Yixin Luo', 'Zhouwang Yang'] ['mail.ustc.edu.cn', 'ustc.edu.cn']\n",
      "79 https://openreview.net/forum?id=r1efr3C9Ym\n",
      "['Satya Narayan Shukla', 'Benjamin Marlin'] ['cs.umass.edu']\n",
      "80 https://openreview.net/forum?id=HyllasActm\n",
      "['Jorge Pessoa', 'Helena Aidos', 'Pedro Tomás', 'Mário A. T. Figueiredo'] ['tecnico.ulisboa.pt', 'inesc-id.pt', 'lx.it.pt']\n",
      "81 https://openreview.net/forum?id=BJgAfh09tm\n",
      "['Ahmad Rashid', 'Alan Do-Omri', 'Mehdi Rezagholizadeh', 'Md. Akmal Haidar', 'Hamed Sadeghi'] ['gmail.com', 'huawei.com', 'mail.mcgill.ca']\n",
      "82 https://openreview.net/forum?id=S1E3Ko09F7\n",
      "['Jianbo Chen', 'Le Song', 'Martin J. Wainwright', 'Michael I. Jordan'] ['cs.berkeley.edu', 'cc.gatech.edu', 'berkeley.edu']\n",
      "83 https://openreview.net/forum?id=rklhb2R9Y7\n",
      "['Konrad Zolna', 'Negar Rostamzadeh', 'Yoshua Bengio', 'Sungjin Ahn', 'Pedro O. Pinheiro'] ['opinheiro.com', 'gmail.com']\n",
      "84 https://openreview.net/forum?id=Bklfsi0cKm\n",
      "['Adrià Garriga-Alonso', 'Carl Edward Rasmussen', 'Laurence Aitchison'] ['gmail.com', 'cam.ac.uk']\n",
      "85 https://openreview.net/forum?id=SygvZ209F7\n",
      "['Will Xiao', 'Honglin Chen', 'Qianli Liao', 'Tomaso Poggio'] ['mit.edu', 'csail.mit.edu', 'g.ucla.edu', 'fas.harvard.edu']\n",
      "86 https://openreview.net/forum?id=ByxAOoR5K7\n",
      "['Rachel A. Lerch', 'Chris R. Sims'] ['rpi.edu']\n",
      "87 https://openreview.net/forum?id=r1gEqiC9FX\n",
      "['Pierre Stock', 'Benjamin Graham', 'Rémi Gribonval', 'Hervé Jégou'] ['inria.fr', 'fb.com']\n",
      "88 https://openreview.net/forum?id=SygjB3AcYX\n",
      "['Qimai Li', 'Xiao-Ming Wu', 'Zhichao Guan.'] ['zju.edu.cn', 'polyu.edu.hk', 'comp.polyu.edu.hk']\n",
      "89 https://openreview.net/forum?id=rkxQ-nA9FX\n",
      "['Sanjeev Arora', 'Zhiyuan Li', 'Kaifeng Lyu'] ['gmail.com', 'cs.princeton.edu']\n",
      "90 https://openreview.net/forum?id=r1g5b2RcKm\n",
      "['Wenyuan Zeng', 'Raquel Urtasun'] ['gmail.com', 'uber.com']\n",
      "91 https://openreview.net/forum?id=SyxZJn05YX\n",
      "['Hongyang Li', 'Bo Dai', 'Shaoshuai Shi', 'Wanli Ouyang', 'Xiaogang Wang'] ['ie.cuhk.edu.hk', 'gmail.com', 'ee.cuhk.edu.hk', 'link.cuhk.edu.hk']\n",
      "92 https://openreview.net/forum?id=SyMDXnCcF7\n",
      "['Greg Yang', 'Jeffrey Pennington', 'Vinay Rao', 'Jascha Sohl-Dickstein', 'Samuel S. Schoenholz'] ['microsoft.com', 'google.com']\n",
      "93 https://openreview.net/forum?id=rkxn7nR5KX\n",
      "['Mengye Ren', 'Renjie Liao', 'Ethan Fetaya', 'Richard S. Zemel'] ['cs.toronto.edu']\n",
      "94 https://openreview.net/forum?id=HyVbhi0cYX\n",
      "['Digvijay Boob', 'Santanu S. Dey', 'Guanghui Lan'] ['isye.gatech.edu', 'gatech.edu']\n",
      "95 https://openreview.net/forum?id=HkgmzhC5F7\n",
      "['Brady Neal', 'Sarthak Mittal', 'Aristide Baratin', 'Vinayak Tantia', 'Matthew Scicluna', 'Simon Lacoste-Julien', 'Ioannis Mitliagkas'] ['gmail.com', 'hotmail.com', 'iro.umontreal.ca']\n",
      "96 https://openreview.net/forum?id=HkGzUjR5tQ\n",
      "['Joey Tianyi Zhou', 'Hao Zhang', 'Di Jin', 'Hongyuan Zhu', 'Rick Siow Mong Goh', 'Kenneth Kwok'] ['ihpc.a-star.edu.sg', 'gmail.com', 'mit.edu']\n",
      "97 https://openreview.net/forum?id=H1GaLiAcY7\n",
      "['Hanze Dong', 'Yanwei Fu', 'Leonid Sigal', 'SungJu Hwang', 'Yu-Gang Jiang', 'Xiangyang Xue'] ['kaist.ac.kr', 'cs.ubc.ca', 'fudan.edu.cn']\n",
      "98 https://openreview.net/forum?id=r1xYr3C5t7\n",
      "['Jack Lanchantin', 'Arshdeep Sekhon', 'Yanjun Qi'] ['virginia.edu']\n",
      "99 https://openreview.net/forum?id=Skl3M20qYQ\n",
      "['Gonzalo Barrientos', 'Sten Sootla'] ['ucl.ac.uk']\n",
      "100 https://openreview.net/forum?id=HylRk2A5FQ\n",
      "['Darwin Danilo Saire Pilco', 'Adín Ramírez Rivera'] ['ic.unicamp.br']\n",
      "101 https://openreview.net/forum?id=H1gFuiA9KX\n",
      "['Matthias Leimeister', 'Benjamin J. Wilson'] ['lateral.io']\n",
      "102 https://openreview.net/forum?id=SJ4vTjRqtQ\n",
      "['Norman L. Tasfi', 'Miriam Capretz'] ['gmail.com', 'uwo.ca']\n",
      "103 https://openreview.net/forum?id=B1excoAqKQ\n",
      "['Siddharth Reddy', 'Anca D. Dragan', 'Sergey Levine'] ['eecs.berkeley.edu', 'berkeley.edu']\n",
      "104 https://openreview.net/forum?id=HJxwDiActX\n",
      "['Ningyuan Zheng', 'Yifan Jiang', 'Dingjiang Huang'] ['163.com', 'dase.ecnu.edu.cn', 'qq.com']\n",
      "105 https://openreview.net/forum?id=HJxqMhC5YQ\n",
      "['Hiroshi Seki', 'Takaaki Hori', 'Shinji Watanabe', 'Jonathan Le Roux', 'John R. Hershey'] ['slp.cs.tut.ac.jp', 'merl.com', 'google.com', 'ieee.org', 'gmail.com']\n",
      "106 https://openreview.net/forum?id=BJlif3C5FQ\n",
      "['Jianmo Ni', 'Chenguang Zhu', 'Weizhu Chen', 'Julian McAuley'] ['ucsd.edu', 'microsoft.com', 'cs.ucsd.edu']\n",
      "107 https://openreview.net/forum?id=H1xk8jAqKQ\n",
      "['Cinjon Resnick', 'Roberta Raileanu', 'Sanyam Kapoor', 'Alexander Peysakhovich', 'Kyunghyun Cho', 'Joan Bruna'] ['gmail.com', 'cims.nyu.edu', 'fb.com', 'nyu.edu']\n",
      "108 https://openreview.net/forum?id=SyxfEn09Y7\n",
      "['Qi Meng', 'Shuxin Zheng', 'Huishuai Zhang', 'Wei Chen', 'Qiwei Ye', 'Zhi-Ming Ma', 'Nenghai Yu', 'Tie-Yan Liu'] ['ustc.edu.cn', 'mail.ustc.edu.cn', 'microsoft.com', 'amt.ac.cn']\n",
      "109 https://openreview.net/forum?id=HkxMG209K7\n",
      "['Fengze Liu', 'Yingda Xia', 'Dong Yang', 'Alan Yuille', 'Daguang Xu'] ['gmail.com', 'jhu.edu']\n",
      "110 https://openreview.net/forum?id=Bke96sC5tm\n",
      "['Marvin Zhang*', 'Sharad Vikram*', 'Laura Smith', 'Pieter Abbeel', 'Matthew Johnson', 'Sergey Levine'] ['cs.berkeley.edu', 'cs.ucsd.edu', 'berkeley.edu', 'google.com']\n",
      "111 https://openreview.net/forum?id=HkGmDsR9YQ\n",
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      "['Chihuang Liu', 'Joseph JaJa'] ['umiacs.umd.edu', 'umd.edu']\n",
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      "['Kendall Lowrey', 'Aravind Rajeswaran', 'Sham Kakade', 'Emanuel Todorov', 'Igor Mordatch'] ['openai.com', 'gmail.com', 'cs.washington.edu']\n",
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      "126 https://openreview.net/forum?id=SylPMnR9Ym\n",
      "['Oleh Rybkin', 'Karl Pertsch', 'Konstantinos G. Derpanis', 'Kostas Daniilidis', 'Andrew Jaegle'] ['upenn.edu', 'usc.edu', 'ryerson.ca', 'seas.upenn.edu']\n",
      "127 https://openreview.net/forum?id=rkVOXhAqY7\n",
      "['Ian Fischer'] ['google.com']\n",
      "128 https://openreview.net/forum?id=ByzoVi0cFQ\n",
      "['Sören R. Künzel', 'Bradly C. Stadie', 'Nikita Vemuri', 'Varsha Ramakrishnan', 'Jasjeet S. Sekhon', 'Pieter Abbeel'] ['cs.berkeley.edu', 'berkeley.edu']\n",
      "129 https://openreview.net/forum?id=rkxoNnC5FQ\n",
      "['Kuan-Hui Lee', 'German Ros', 'Jie Li', 'Adrien Gaidon'] ['gmail.com', 'tri.global']\n",
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      "['Shaohui Liu*', 'Yi Wei*', 'Jiwen Lu', 'Jie Zhou'] ['mails.tsinghua.edu.cn', 'gmail.com', 'tsinghua.edu.cn']\n",
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      "['Arbaaz Khan', 'Clark Zhang', 'Vijay Kumar'] ['seas.upenn.edu']\n",
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      "['Sangpil Kim', 'Nick Winovich', 'Hyung-gun Chi', 'Guang Lin', 'Karthik Ramani'] ['purdue.edu']\n",
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      "['Jiali Yao', 'Raphael Shu', 'Xinjian Li', 'Katsutoshi Ohtsuki', 'Hideki Nakayama'] ['andrew.cmu.edu', 'microsoft.com', 'ci.i.u-tokyo.ac.jp', 'nlab.ci.i.u-tokyo.ac.jp']\n",
      "134 https://openreview.net/forum?id=SJl7DsR5YQ\n",
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      "['Patrick Chen', 'Si Si', 'Sanjiv Kumar', 'Yang Li', 'Cho-Jui Hsieh'] ['cs.ucla.edu', 'g.ucla.edu', 'google.com']\n",
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      "['Xuezhe Ma', 'Chunting Zhou', 'Eduard Hovy'] ['cs.cmu.edu']\n",
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      "['Fangzhou Luo', 'Xiaolin Wu'] ['gmail.com']\n",
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      "['Yuetong Du', 'Xiaodong Gu', 'Junqin Liu', 'Liwen He'] ['njupt.edu.cn', 'qq.com']\n",
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      "['Tianyang Zhao', 'Xiaoxuan Ma', 'Honglin Ma', 'Yizhou Wang'] ['pku.edu.cn', 'outlook.com']\n",
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      "['Jincheng Mei', 'Chenjun Xiao', 'Ruitong Huang', 'Dale Schuurmans', 'Martin Muller'] ['ualberta.ca', 'borealisai.com']\n",
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      "['Md Rizwan Parvez', 'Tolga Bolukbasi', 'Kai-Wei Chang', 'Venkatesh Saligrama'] ['bu.edu', 'cs.ucla.edu']\n",
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      "['Amit Deshpande', 'Sandesh Kamath', 'K V Subrahmanyam'] ['cmi.ac.in', 'microsoft.com']\n",
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      "['Dzmitry Bahdanau*', 'Shikhar Murty*', 'Michael Noukhovitch', 'Thien Huu Nguyen', 'Harm de Vries', 'Aaron Courville'] ['gmail.com', 'harmdevries.com', 'umontreal.ca', 'cs.uoregon.edu']\n",
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      "['Assya Trofimov', 'Francis Dutil', 'Claude Perreault', 'Sebastien Lemieux', 'Yoshua Bengio', 'Joseph Paul Cohen'] ['gmail.com', 'umontreal.ca', 'josephpcohen.com', 'mila.quebec']\n",
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      "['Zhizhong Li', 'Derek Hoiem'] ['illinois.edu']\n",
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      "['Tiansi Dong', 'Chrisitan Bauckhage', 'Hailong Jin', 'Juanzi Li', 'Olaf Cremers', 'Daniel Speicher', 'Armin B. Cremers', 'Joerg Zimmermann'] ['iai.uni-bonn.de', 'gmail.com', 'iais.fraunhofer.de', 'mails.tsinghua.edu.cn', 'bit.uni-bonn.de']\n",
      "155 https://openreview.net/forum?id=B1gHjoRqYQ\n",
      "['Yang Zhang', 'Shiyu Chang', 'Mo Yu', 'Kaizhi Qian'] ['ibm.com', 'us.ibm.com', 'illinois.edu']\n",
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      "['Tianfan Fu*', 'Tian Gao*', 'Cao Xiao*', 'Tengfei Ma*', 'Jimeng Sun'] ['ibm.com', 'cc.gatech.edu', 'us.ibm.com', 'gatech.edu']\n",
      "157 https://openreview.net/forum?id=HyeU1hRcFX\n",
      "['Deepak Mishra', 'Prathosh AP', 'Aravind J', 'Prashant Pandey', 'Santanu Chaudhury'] ['gmail.com', 'ee.iitd.ac.in']\n",
      "158 https://openreview.net/forum?id=H1eRIoA5Y7\n",
      "['Eran Treister', 'Lars Ruthotto', 'Michal Sharoni', 'Sapir Zafrani', 'Eldad Haber'] ['eos.ubc.ca', 'bgu.ac.il', 'post.bgu.ac.il', 'emory.edu']\n",
      "159 https://openreview.net/forum?id=HyxyV209Y7\n",
      "['Mingjie Sun', 'Jian Tang', 'Huichen Li', 'Bo Li', 'Chaowei Xiao', 'Yao Chen', 'Dawn Song'] ['gmail.com', 'tencent.com', 'umich.edu', 'illinois.edu']\n",
      "160 https://openreview.net/forum?id=r1MSBjA9Ym\n",
      "['Lu Lu', 'Yanhui Su', 'George Em Karniadakis'] ['brown.edu', 'fzu.edu.cn']\n",
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      "['Hyoungseok Kim', 'Jaekyeom Kim', 'Yeonwoo Jeong', 'Sergey Levine', 'Hyun Oh Song'] ['eecs.berkeley.edu', 'mllab.snu.ac.kr', 'snu.ac.kr']\n",
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      "['Mehadi Hassen', 'Philip K. Chan'] ['cs.fit.edu', 'my.fit.edu']\n",
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      "['Ilya Feige'] ['asidatascience.com']\n",
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      "['Haichuan Yang', 'Yuhao Zhu', 'Ji Liu'] ['gmail.com', 'rochester.edu']\n",
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      "['Karl Ridgeway', 'Michael C. Mozer'] ['colorado.edu']\n",
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      "['Song-Hao Jia', 'Ding-Jie Chen', 'Hwann-Tzong Chen'] ['gmail.com', 'icloud.com', 'cs.nthu.edu.tw']\n",
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      "['Felix Wu', 'Angela Fan', 'Alexei Baevski', 'Yann Dauphin', 'Michael Auli'] ['dauphin.io', 'gmail.com', 'cornell.edu', 'fb.com']\n",
      "172 https://openreview.net/forum?id=HkGsHj05tQ\n",
      "['Zhaodong Chen', 'Lei Deng', 'Guoqi Li', 'Jiawei Sun', 'Xing Hu', 'Ling Liang', 'YufeiDing', 'Yuan Xie'] ['mails.tsinghua.edu.cn', 'mail.tsinghua.edu.cn', 'cs.ucsb.edu', 'ucsb.edu']\n",
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      "['Samaneh Azadi', 'Catherine Olsson', 'Trevor Darrell', 'Ian Goodfellow', 'Augustus Odena'] ['eecs.berkeley.edu', 'berkeley.edu', 'google.com']\n",
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      "['Ryan-Rhys Griffiths', 'José Miguel Hernández-Lobato'] ['cam.ac.uk']\n",
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      "['Rui Zhao', 'Volker Tresp'] ['gmail.com', 'siemens.com']\n",
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      "['Avraham Ruderman', 'Neil C. Rabinowitz', 'Ari S. Morcos', 'Daniel Zoran'] ['gmail.com', 'google.com']\n",
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      "['Masanori Yamada', 'Kim Heecheol', 'Kosuke Miyoshi', 'Hiroshi Yamakawa'] ['dwango.co.jp', 'gmail.com', 'narr.jp', 'isi.imi.i.u-tokyo.ac.jp']\n",
      "179 https://openreview.net/forum?id=BJfvAoC9YQ\n",
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      "['Frank Nielsen', 'Ke Sun'] ['gmail.com', 'acm.org']\n",
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      "['Andrew Brock', 'Jeff Donahue', 'Karen Simonyan'] ['hw.ac.uk', 'google.com']\n",
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      "['Zhangheng Li', 'Jia-Xing Zhong', 'Jingjia Huang', 'Tao Zhang', 'Thomas Li', 'Ge Li'] ['pkusz.edu.cn', 'pku.edu.cn', 'ece.pku.edu.cn']\n",
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      "['Sung Kim', 'Visvesh Sathe'] ['uw.edu', 'umich.edu']\n",
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      "['Alessandro Achille', 'Matteo Rovere', 'Stefano Soatto'] ['gmail.com', 'cs.ucla.edu']\n",
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      "['Pingbo Pan', 'Yan Yan', 'Tianbao Yang', 'Yi Yang'] ['uts.edu.au', 'student.uts.edu.au', 'uiowa.edu']\n",
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      "['Jeffrey L. McKinstry', 'Steven K. Esser', 'Rathinakumar Appuswamy', 'Deepika Bablani', 'John V. Arthur', 'Izzet B. Yildiz', 'Dharmendra S. Modha'] ['ibm.com', 'gmail.com', 'us.ibm.com']\n",
      "188 https://openreview.net/forum?id=HJf9ZhC9FX\n",
      "['Navid Azizan', 'Babak Hassibi'] ['caltech.edu']\n",
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      "['Newsha Ardalani', 'Joel Hestness', 'Gregory Diamos'] ['baidu.com']\n",
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      "['Jun Li', 'Hongfu Liu', 'Bineng Zhong', 'Yue Wu', 'Yun Fu'] ['gmail.com', 'brandeis.edu', 'ece.neu.edu']\n",
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      "['Mahsa Baktashmotlagh', 'Masoud Faraki', 'Tom Drummond', 'Mathieu Salzmann'] ['qut.edu.au', 'monash.edu', 'epfl.ch']\n",
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      "['Seonguk Seo', 'Paul Hongsuck Seo', 'Bohyung Han'] ['postech.ac.kr', 'snu.ac.kr']\n",
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      "202 https://openreview.net/forum?id=SJlYcoCcKX\n",
      "['Zeyi Tao', 'Qi Xia', 'Qun Li'] ['email.wm.edu', 'cs.wm.edu']\n",
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      "['Sai Kiran Narayanaswami', 'Nandan Sudarsanam', 'Balaraman Ravindran'] ['gmail.com', 'iitm.ac.in', 'cse.iitm.ac.in']\n",
      "300 https://openreview.net/forum?id=r1lFIiR9tQ\n",
      "['Mingtian Zhang', 'Thomas Bird', 'Raza Habib', 'Tianlin Xu', 'David Barber'] ['cs.ucl.ac.uk', 'lse.ac.uk', 'ucl.ac.uk']\n",
      "301 https://openreview.net/forum?id=HygUOoC5KX\n",
      "['Yingzhen Li', 'John Bradshaw', 'Yash Sharma'] ['gmail.com', 'cam.ac.uk']\n",
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      "['Jianwei Feng', 'Dong Huang'] ['andrew.cmu.edu', 'cmu.edu']\n",
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      "['Zehao Huang', 'Naiyan Wang'] ['gmail.com']\n",
      "304 https://openreview.net/forum?id=HJMC_iA5tm\n",
      "['Daniel Selsam', 'Matthew Lamm', 'Benedikt B\\\\\"{u}nz', 'Percy Liang', 'Leonardo de Moura', 'David L. Dill'] ['microsoft.com', 'cs.stanford.edu']\n",
      "305 https://openreview.net/forum?id=S1xLN3C9YX\n",
      "['Shengcao Cao', 'Xiaofang Wang', 'Kris M. Kitani'] ['pku.edu.cn', 'cs.cmu.edu']\n",
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      "['Kate Rakelly*', 'Evan Shelhamer*', 'Trevor Darrell', 'Alexei A. Efros', 'Sergey Levine'] ['cs.berkeley.edu', 'eecs.berkeley.edu']\n",
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      "['Jiquan Ngiam', 'Daiyi Peng', 'Vijay Vasudevan', 'Simon Kornblith', 'Quoc Le', 'Ruoming Pang'] ['google.com']\n",
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      "['Thomas Bonald', 'Nathan De Lara'] ['telecom-paristech.fr']\n",
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      "['Aleksandar Bojchevski', 'Stephan Günnemann'] ['in.tum.de']\n",
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      "['Sicong Huang', 'Qiyang Li', 'Cem Anil', 'Xuchan Bao', 'Sageev Oore', 'Roger B. Grosse'] ['cs.toronto.edu', 'dal.ca']\n",
      "313 https://openreview.net/forum?id=HkxzDiAcK7\n",
      "['Hwiyong Choi', 'Haesang Yang', 'Seungjun Lee', 'Woojae Seong'] ['snu.ac.kr']\n",
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      "['Tobias Hinz', 'Stefan Heinrich', 'Stefan Wermter'] ['informatik.uni-hamburg.de']\n",
      "315 https://openreview.net/forum?id=HyVxPsC9tm\n",
      "['De-Qin Gao', 'Ping-Chen Tsai', 'Shanq-Jang Ruan'] ['mail.ntust.edu.tw', 'gmail.com']\n",
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      "['Chih-Yao Ma', 'Jiasen Lu', 'Zuxuan Wu', 'Ghassan AlRegib', 'Zsolt Kira', 'Richard Socher', 'Caiming Xiong'] ['salesforce.com', 'cs.umd.edu', 'gatech.edu']\n",
      "317 https://openreview.net/forum?id=S1x2aiRqFX\n",
      "['Wentao Wang', 'Zhiting Hu', 'Zichao Yang', 'Haoran Shi', 'Eric P. Xing'] ['gmail.com', 'pku.edu.cn', 'cs.cmu.edu']\n",
      "318 https://openreview.net/forum?id=S1gBgnR9Y7\n",
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      "['Grigorios G. Chrysos', 'Jean Kossaifi', 'Stefanos Zafeiriou'] ['gmail.com', 'imperial.ac.uk']\n",
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      "['Ping Luo', 'Xinjiang Wang', 'Wenqi Shao', 'Zhanglin Peng'] ['ie.cuhk.edu.hk', 'sensetime.com']\n",
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      "['Zehao Dou', 'Zhihua Zhang'] ['math.pku.edu.cn', 'pku.edu.cn']\n",
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      "['Zhuwei Qin', 'Fuxun Yu', 'Chenchen Liu', 'Xiang Chen'] ['gmu.edu', 'clarkson.edu']\n",
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      "['Chad Atalla', 'Bartholomew Tam'] ['ucsd.edu']\n",
      "324 https://openreview.net/forum?id=rklEUjR5tm\n",
      "['Haoyi Xiong', 'Wenqing Hu', 'Zhanxing Zhu', 'Xinjian Li', 'Yunchao Zhang', 'Jun Huan'] ['gmail.com', 'baidu.com', 'pku.edu.cn', 'mst.edu']\n",
      "325 https://openreview.net/forum?id=rkxfjjA5Km\n",
      "['Ying Liu', 'Cheng Zheng'] ['gmail.com']\n",
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      "['Xi-Lin Li'] ['gmail.com']\n",
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      "['Kirill Neklyudov', 'Dmitry Molchanov', 'Arsenii Ashukha', 'Dmitry Vetrov'] ['gmail.com', 'yandex.ru']\n",
      "394 https://openreview.net/forum?id=HJMghjA9YX\n",
      "['Francisco Vargas', 'Kamen Brestnichki', 'Nils Hammerla'] ['babylonhealth.com']\n",
      "395 https://openreview.net/forum?id=Bkl87h09FX\n",
      "['Samuel R. Bowman', 'Ellie Pavlick', 'Edouard Grave', 'Benjamin Van Durme', 'Alex Wang', 'Jan Hula', 'Patrick Xia', 'Raghavendra Pappagari', 'R. Thomas McCoy', 'Roma Patel', 'Najoung Kim', 'Ian Tenney', 'Yinghui Huang', 'Katherin Yu', 'Shuning Jin', 'Berlin Chen'] ['us.ibm.com', 'nyu.edu', 'brown.edu', 'swarthmore.edu', 'google.com', 'jhu.edu', 'cs.jhu.edu', 'fb.com', 'gmail.com', 'd.umn.edu']\n",
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      "['Tianhong Li', 'Jianguo Li', 'Zhuang Liu', 'Changshui Zhang'] ['intel.com', 'mit.edu', 'berkeley.edu', 'mail.tsinghua.edu.cn']\n",
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      "['Wenhao Yu', 'C. Karen Liu', 'Greg Turk'] ['cc.gatech.edu', 'gatech.edu']\n",
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      "['Akram Erraqabi', 'Nicolas Le Roux'] ['le-roux.name', 'umontreal.ca']\n",
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      "408 https://openreview.net/forum?id=r1fO8oC9Y7\n",
      "['Huan Wang', 'Yuxiang Hu', 'Li Dong', 'Feijun Jiang', 'Zaiqing Nie'] ['ed.ac.uk', 'alibaba-inc.com']\n",
      "409 https://openreview.net/forum?id=BkeK-nRcFX\n",
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      "['Xuanyang Zhang', 'Hao liu', 'Zhanxing Zhu', 'Zenglin Xu'] ['gmail.com', 'pku.edu.cn']\n",
      "411 https://openreview.net/forum?id=H1xEtoRqtQ\n",
      "['Miljan Martic', 'Jan Leike', 'Andrew Trask', 'Matteo Hessel', 'Shane Legg', 'Pushmeet Kohli'] ['google.com']\n",
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      "['Aurko Roy', 'Ashish Vaswani', 'Niki Parmar', 'Arvind Neelakantan'] ['google.com']\n",
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      "['Anqi Wu', 'Sebastian Nowozin', 'Edward Meeds', 'Richard E. Turner', 'José Miguel Hernández-Lobato', 'Alexander L. Gaunt'] ['microsoft.com', 'cam.ac.uk', 'princeton.edu']\n",
      "416 https://openreview.net/forum?id=r1GbfhRqF7\n",
      "['Wei-Cheng Chang', 'Chun-Liang Li', 'Yiming Yang', 'Barnabás Póczos'] ['cs.cmu.edu']\n",
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      "['Kevin J Liang', 'Chunyuan Li', 'Guoyin Wang', 'Lawrence Carin'] ['duke.edu']\n",
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      "['Vikas Dhiman', 'Shurjo Banerjee', 'Jeffrey M Siskind', 'Jason J Corso'] ['purdue.edu', 'umich.edu']\n",
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      "['Xiaoyun Wang', 'Joe Eaton', 'Cho-Jui Hsieh', 'Felix Wu'] ['nvidia.com', 'ucdavis.edu']\n",
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      "['Masahiro Kato', 'Takeshi Teshima', 'Junya Honda'] ['edu.k.u-tokyo.ac.jp', 'ms.k.u-tokyo.ac.jp']\n",
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      "['Luke Metz', 'Niru Maheswaranathan', 'Jeremy Nixon', 'Daniel Freeman', 'Jascha Sohl-dickstein'] ['google.com']\n",
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      "['Sebastian Caldas', 'Jakub Konečný', 'Brendan McMahan', 'Ameet Talwalkar'] ['cmu.edu', 'google.com']\n",
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      "['Nils Wandel'] ['ais.uni-bonn.de']\n",
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      "['Antoine Labatie'] ['gmail.com']\n",
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      "620 https://openreview.net/forum?id=B1MUroRct7\n",
      "['Ning Zhang', 'Qiang Wu'] ['gmail.com', 'mtsu.edu']\n",
      "621 https://openreview.net/forum?id=HJeKCi0qYX\n",
      "['Jiongqian Liang', 'Saket Gurukar', 'Srinivasan Parthasarathy'] ['osu.edu', 'cse.ohio-state.edu', 'outlook.com']\n",
      "622 https://openreview.net/forum?id=BJx0sjC5FX\n",
      "['R. Thomas McCoy', 'Tal Linzen', 'Ewan Dunbar', 'Paul Smolensky'] ['univ-paris-diderot.fr', 'jhu.edu']\n",
      "623 https://openreview.net/forum?id=rJxHsjRqFQ\n",
      "['Caglar Gulcehre', 'Misha Denil', 'Mateusz Malinowski', 'Ali Razavi', 'Razvan Pascanu', 'Karl Moritz Hermann', 'Peter Battaglia', 'Victor Bapst', 'David Raposo', 'Adam Santoro'] ['gmail.com', 'google.com']\n",
      "624 https://openreview.net/forum?id=Byx7LjRcYm\n",
      "['Wensong Chan', 'Zhiqiang Tian', 'Xuguang Lan'] ['xjtu.edu.cn', 'qq.com']\n",
      "625 https://openreview.net/forum?id=Syxt2jC5FX\n",
      "['Randall Balestriero', 'Richard Baraniuk'] ['gmail.com', 'rice.edu']\n",
      "626 https://openreview.net/forum?id=rJedbn0ctQ\n",
      "['Ziyi Yang', 'Chenguang Zhu', 'Weizhu Chen'] ['microsoft.com', 'stanford.edu']\n",
      "627 https://openreview.net/forum?id=B1e7hs05Km\n",
      "['Kamyar Azizzadenesheli', 'Animashree Anandkumar'] ['caltech.edu', 'uci.edu']\n",
      "628 https://openreview.net/forum?id=B1fPYj0qt7\n",
      "['Jun Qi', 'Chin-Hui Lee', 'Javier Tejedor'] ['gmail.com', 'uw.edu', 'gatech.edu']\n",
      "629 https://openreview.net/forum?id=S1ey2sRcYQ\n",
      "['Guy Lorberbom', 'Tamir Hazan'] ['campus.technion.ac.il', 'technion.ac.il']\n",
      "630 https://openreview.net/forum?id=B1G5ViAqFm\n",
      "['Chiyu Max Jiang', 'Dequan Wang', 'Jingwei Huang', 'Philip Marcus', 'Matthias Niessner'] ['tum.de', 'me.berkeley.edu', 'berkeley.edu', 'stanford.edu']\n",
      "631 https://openreview.net/forum?id=BkloRs0qK7\n",
      "['B. Pfülb', 'A. Gepperth'] ['cs.hs-fulda.de']\n",
      "632 https://openreview.net/forum?id=H1lIzhC9FX\n",
      "['Oleksiy Ostapenko', 'Mihai Puscas', 'Tassilo Klein', 'Moin Nabi'] ['sap.com', 'unitn.it']\n",
      "633 https://openreview.net/forum?id=HJflg30qKX\n",
      "['Ziwei Ji', 'Matus Telgarsky'] ['illinois.edu']\n",
      "634 https://openreview.net/forum?id=HJxB5sRcFQ\n",
      "['Jianan Li', 'Jimei Yang', 'Aaron Hertzmann', 'Jianming Zhang', 'Tingfa Xu'] ['bit.edu.cn', 'gmail.com', 'adobe.com']\n",
      "635 https://openreview.net/forum?id=ByeTHsAqtX\n",
      "['Guy Gur-Ari', 'Daniel A. Roberts', 'Ethan Dyer'] ['ias.edu', 'fb.com', 'google.com']\n",
      "636 https://openreview.net/forum?id=rye7XnRqFm\n",
      "['Fabio Pardo', 'Vitaly Levdik', 'Petar Kormushev'] ['imperial.ac.uk']\n",
      "637 https://openreview.net/forum?id=HygsfnR9Ym\n",
      "['Anirudh Goyal', 'Philemon Brakel', 'William Fedus', 'Soumye Singhal', 'Timothy Lillicrap', 'Sergey Levine', 'Hugo Larochelle', 'Yoshua Bengio'] ['eecs.berkeley.edu', 'gmail.com', 'google.com', 'mila.quebec']\n",
      "638 https://openreview.net/forum?id=SkghN205KQ\n",
      "['Amirmohammad Rooshenas', 'Dongxu Zhang', 'Gopal Sharma', 'Andrew McCallum'] ['cs.umass.edu']\n",
      "639 https://openreview.net/forum?id=rJfUCoR5KX\n",
      "['Milad Alizadeh', 'Javier Fernández-Marqués', 'Nicholas D. Lane', 'Yarin Gal'] ['cs.ox.ac.uk']\n",
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      "['Karel Chvalovský'] ['chvalovsky.cz']\n",
      "641 https://openreview.net/forum?id=rJzoujRct7\n",
      "['Zhenxing Liu', 'Maoyu Hu', 'Zhangfei Zhang'] ['smzy.cc']\n",
      "642 https://openreview.net/forum?id=r1gkAoA5FQ\n",
      "['Woon Sang Cho', 'Pengchuan Zhang', 'Yizhe Zhang', 'Xiujun Li', 'Mengdi Wang', 'Jianfeng Gao'] ['microsoft.com', 'princeton.edu']\n",
      "643 https://openreview.net/forum?id=HJlNpoA5YQ\n",
      "['Yifan Wu', 'George Tucker', 'Ofir Nachum'] ['andrew.cmu.edu', 'google.com']\n",
      "644 https://openreview.net/forum?id=Hyewf3AqYX\n",
      "['Jinghui Chen', 'Jinfeng Yi', 'Quanquan Gu'] ['cs.ucla.edu', 'virginia.edu', 'jd.com']\n",
      "645 https://openreview.net/forum?id=SyxHKjAcYX\n",
      "['Xilun Chen', 'Ahmed Hassan Awadallah', 'Hany Hassan', 'Wei Wang', 'Claire Cardie'] ['microsoft.com', 'cs.cornell.edu']\n",
      "646 https://openreview.net/forum?id=SJxiHnCqKQ\n",
      "['Ji Gao', 'Jack Lanchantin', 'Yanjun Qi'] ['virginia.edu']\n",
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      "['N/A'] ['gmail.com']\n",
      "648 https://openreview.net/forum?id=rkx8l3Cctm\n",
      "['Elad Sarafian', 'Aviv Tamar', 'Sarit Kraus'] ['cs.biu.ac.il', 'gmail.com', 'berkeley.edu']\n",
      "649 https://openreview.net/forum?id=r1MxciCcKm\n",
      "['Bowen Tan*', 'Zhiting Hu*', 'Zichao Yang', 'Ruslan Salakhutdinov', 'Eric P. Xing'] ['gmail.com', 'cs.cmu.edu', 'sjtu.edu.cn']\n",
      "650 https://openreview.net/forum?id=BkltNhC9FX\n",
      "['Shiv Shankar', 'Sunita Sarawagi'] ['iitb.ac.in', 'umass.edu']\n",
      "651 https://openreview.net/forum?id=r1lFYoRcFm\n",
      "['Oliver Richter', 'Roger Wattenhofer'] ['ethz.ch']\n",
      "652 https://openreview.net/forum?id=SJGyFiRqK7\n",
      "['Yonathan Fiat', 'Eran Malach', 'Shai Shalev-Shwartz'] ['mail.huji.ac.il', 'gmail.com', 'cs.huji.ac.il']\n",
      "653 https://openreview.net/forum?id=Hkg1YiAcK7\n",
      "['Chao Du', 'Kun Xu', 'Chongxuan Li', 'Jun Zhu', 'Bo Zhang'] ['gmail.com', 'tsinghua.edu.cn']\n",
      "654 https://openreview.net/forum?id=HJfQrs0qt7\n",
      "['Remi Tachet des Combes', 'Mohammad Pezeshki', 'Samira Shabanian', 'Aaron Courville', 'Yoshua Bengio'] ['gmail.com', 'umontreal.ca', 'microsoft.com']\n",
      "655 https://openreview.net/forum?id=rket4i0qtX\n",
      "['Alexander Kuhnle', 'Ann Copestake'] ['cam.ac.uk']\n",
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      "657 https://openreview.net/forum?id=SJx63jRqFm\n",
      "['Benjamin Eysenbach', 'Abhishek Gupta', 'Julian Ibarz', 'Sergey Levine'] ['eecs.berkeley.edu', 'cs.cmu.edu', 'berkeley.edu', 'google.com']\n",
      "658 https://openreview.net/forum?id=SyMWn05F7\n",
      "['Tao Chen', 'Saurabh Gupta', 'Abhinav Gupta'] ['andrew.cmu.edu', 'eecs.berkeley.edu', 'cs.cmu.edu']\n",
      "659 https://openreview.net/forum?id=rkl5CjC9Fm\n",
      "['Gahye Lee', 'Seungkyu Lee'] ['gmail.com', 'khu.ac.kr']\n",
      "660 https://openreview.net/forum?id=BJluy2RcFm\n",
      "['Ryan L. Murphy', 'Balasubramaniam Srinivasan', 'Vinayak Rao', 'Bruno Ribeiro'] ['cs.purdue.edu', 'purdue.edu']\n",
      "661 https://openreview.net/forum?id=HyM7AiA5YX\n",
      "['Hao-Yun Chen', 'Pei-Hsin Wang', 'Chun-Hao Liu', 'Shih-Chieh Chang', 'Jia-Yu Pan', 'Yu-Ting Chen', 'Wei Wei', 'Da-Cheng Juan'] ['gapp.nthu.edu.tw', 'cs.nthu.edu.tw', 'google.com']\n",
      "662 https://openreview.net/forum?id=rkGqLoR5tX\n",
      "['Rickard Sjögren', 'Johan Trygg'] ['sartorius-stedim.com']\n",
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      "['Artemy Kolchinsky', 'Brendan D. Tracey', 'Steven Van Kuyk'] ['gmail.com']\n",
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      "['Frank Schneider', 'Lukas Balles', 'Philipp Hennig'] ['uni-tuebingen.de', 'tuebingen.mpg.de']\n",
      "665 https://openreview.net/forum?id=SygD-hCcF7\n",
      "['Marc T Law', 'Jake Snell', 'Amir-massoud Farahmand', 'Raquel Urtasun', 'Richard S Zemel'] ['cs.toronto.edu', 'vectorinstitute.ai']\n",
      "666 https://openreview.net/forum?id=HylDpoActX\n",
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      "['Xuanqing Liu', 'Cho-Jui Hsieh'] ['cs.ucla.edu']\n",
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      "['Xu Zhang', 'Felix Xinnan Yu', 'Svebor Karaman', 'Wei Zhang', 'Shih-Fu Chang'] ['columbia.edu', 'gmail.com', 'google.com']\n",
      "669 https://openreview.net/forum?id=Bklzkh0qFm\n",
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      "['Zhuang Liu', 'Mingjie Sun', 'Tinghui Zhou', 'Gao Huang', 'Trevor Darrell'] ['eecs.berkeley.edu', 'gmail.com', 'berkeley.edu']\n",
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      "['Xiaodong Jia', 'Liang Zhao', 'Lian Zhang', 'Juncai He', 'Jinchao Xu'] ['math.psu.edu', 'pku.edu.cn', 'ust.hk', 'lsec.cc.ac.cn', 'gmail.com']\n",
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      "['Guangrun Wang', 'Keze Wang', 'Liang Lin'] ['gmail.com', 'mail2.sysu.edu.cn', 'ieee.org']\n",
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      "['Shun Liao', 'Ting Chen', 'Tian Lin', 'Chong Wang', 'Dengyong Zhou'] ['cs.toronto.edu', 'google.com', 'cs.ucla.edu']\n",
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      "724 https://openreview.net/forum?id=SJgs1n05YQ\n",
      "['Yi Wu', 'Yuxin Wu', 'Aviv Tamar', 'Stuart Russell', 'Georgia Gkioxari', 'Yuandong Tian'] ['cs.berkeley.edu', 'gmail.com', 'berkeley.edu', 'fb.com']\n",
      "725 https://openreview.net/forum?id=rylDfnCqF7\n",
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      "['Mingyang Yi', 'Huishuai Zhang', 'Wei Chen', 'Zhi-ming Ma', 'Tie-yan Liu'] ['mircosoft.com', 'mails.ucas.edu.cn', 'microsoft.com', 'amt.ac.cn']\n",
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      "['Chen Xu', 'Chengzhen Fu', 'Peng Jiang', 'Wenwu Ou'] ['pku.edu.cn', 'alibaba-inc.com']\n",
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      "['Guoqiang Zhang', 'Kenta Niwa', 'W. Bastiaan Kleijn'] ['ecs.vuw.ac.nz', 'lab.ntt.co.jp', 'uts.edu.au']\n",
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      "['Doyen Sahoo', 'Hung Le', 'Chenghao Liu', 'Steven C. H. Hoi'] ['smu.edu.sg', 'phdis.smu.edu.sg']\n",
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      "['Alexander Sagel', 'Hao Shen'] ['fortiss.org', 'tum.de']\n",
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      "['Wei Dai', 'Yi Zhou', 'Nanqing Dong', 'Hao Zhang', 'Eric Xing'] ['petuum.com', 'apple.com', 'osu.edu']\n",
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      "['Sylvain Lamprier'] ['lip6.fr']\n",
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      "['Yajie Bao', 'Yang Li', 'Shao-Lun Huang', 'Lin Zhang', 'Amir R. Zamir', 'Leonidas J. Guibas'] ['sz.tsinghua.edu.cn', 'tsinghua.edu.cn', '163.com', 'cs.stanford.edu', 'gmail.com']\n",
      "783 https://openreview.net/forum?id=SJz1x20cFQ\n",
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      "787 https://openreview.net/forum?id=HygtHnR5tQ\n",
      "['Eirikur Agustsson', 'Michael Tschannen', 'Fabian Mentzer', 'Radu Timofte', 'Luc van Gool'] ['nari.ee.ethz.ch', 'vision.ee.ethz.ch']\n",
      "788 https://openreview.net/forum?id=r1ejxnCctX\n",
      "['AJ Piergiovanni', 'Michael S. Ryoo'] ['indiana.edu']\n",
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      "['Jun Gao', 'Di He', 'Xu Tan', 'Tao Qin', 'Liwei Wang', 'Tieyan Liu'] ['cs.toronto.edu', 'cis.pku.edu.cn', 'microsoft.com']\n",
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      "['Haihao Shen', 'Jiong Gong', 'Xiaoli Liu', 'Guoming Zhang', 'Ge Jin', 'and Eric Lin'] ['intel.com']\n",
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      "['Martin Bertran', 'Natalia Martinez', 'Afroditi Papadaki', 'Qiang Qiu', 'Miguel Rodrigues', 'Guillermo Sapiro'] ['gmail.com', 'duke.edu', 'ucl.ac.uk']\n",
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      "['Adji B. Dieng', 'Kyunghyun Cho', 'David M. Blei', 'Yann LeCun'] ['columbia.edu', 'fb.com', 'nyu.edu']\n",
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      "['Iou-Jen Liu', 'Jian Peng', 'Alexander Schwing'] ['illinois.edu']\n",
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      "['Yuangang Pan', 'Avinash K Singh', 'Ivor W. Tsang', 'Chin-teng Lin'] ['outlook.com', 'uts.edu.au', 'student.uts.edu.au']\n",
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      "['Qianxiao Li', 'Bo Lin', 'Weiqing Ren'] ['ihpc.a-star.edu.sg', 'nus.edu.sg', 'u.nus.edu']\n",
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      "['Rajarshi Das', 'Tsendsuren Munkhdalai', 'Xingdi Yuan', 'Adam Trischler', 'Andrew McCallum'] ['microsoft.com', 'cs.umass.edu']\n",
      "831 https://openreview.net/forum?id=r1GaAjRcF7\n",
      "['Thomas Powers', 'Rasool Fakoor', 'Siamak Shakeri', 'Abhinav Sethy', 'Amanjit Kainth', 'Abdel-rahman Mohamed', 'Ruhi Sarikaya'] ['uw.edu', 'amazon.com', 'mavs.uta.edu', 'mail.utoronto.ca', 'cs.toronto.edu']\n",
      "832 https://openreview.net/forum?id=BJeRg205Fm\n",
      "['Peter Sadowski', 'Pierre Baldi'] ['hawaii.edu', 'ics.uci.edu']\n",
      "833 https://openreview.net/forum?id=rJl8FoRcY7\n",
      "['Timo Korthals', 'Marc Hesse', 'Jürgen Leitner'] ['gmail.com', 'cit-ec.uni-bielefeld.de']\n",
      "834 https://openreview.net/forum?id=Hke8Do0cF7\n",
      "['Łukasz Maziarka', 'Marek Śmieja', 'Aleksandra Nowak', 'Jacek Tabor', 'Łukasz Struski', 'Przemysław Spurek'] ['gmail.com', 'uj.edu.pl']\n",
      "835 https://openreview.net/forum?id=Hyg_X2C5FX\n",
      "['David Bau', 'Jun-Yan Zhu', 'Hendrik Strobelt', 'Bolei Zhou', 'Joshua B. Tenenbaum', 'William T. Freeman', 'Antonio Torralba'] ['ibm.com', 'csail.mit.edu']\n",
      "836 https://openreview.net/forum?id=ryxMX2R9YQ\n",
      "['Tengfei Ma', 'Cao Xiao', 'Junyuan Shang', 'Jimeng Sun'] ['ibm.com', 'pku.edu.cn', 'cc.gatech.edu', 'us.ibm.com']\n",
      "837 https://openreview.net/forum?id=SJlgOjAqYQ\n"
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      "839 https://openreview.net/forum?id=SJxCsj0qYX\n",
      "['Hongyang Zhang', 'Susu Xu', 'Jiantao Jiao', 'Pengtao Xie', 'Ruslan Salakhutdinov', 'Eric P. Xing'] ['andrew.cmu.edu', 'petuum.com', 'eecs.berkeley.edu', 'cs.cmu.edu']\n",
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      "['Ke Wang', 'Xiaojun Wan'] ['pku.edu.cn']\n",
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      "['Whiyoung Jung', 'Giseung Park', 'Youngchul Sung'] ['kaist.ac.kr']\n",
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      "844 https://openreview.net/forum?id=B1gIf305Ym\n",
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      "['Mostafa Rahmani', 'Ping Li'] ['gmail.com']\n",
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      "['Daniel McDuff', 'Roger Cheng', 'Ashish Kapoor'] ['microsoft.com']\n",
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      "['Pablo Samuel Castro', 'Subhodeep Moitra', 'Carles Gelada', 'Saurabh Kumar', 'Marc G. Bellemare'] ['google.com']\n",
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      "['Joachim Wabnig'] ['nokia-bell-labs.com']\n",
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      "['Robert Hannah', 'Fei Feng', 'Wotao Yin'] ['math.ucla.edu', 'gmail.com']\n",
      "851 https://openreview.net/forum?id=S1g_EsActm\n",
      "['Liangbo He', 'Hao Sun'] ['tsinghua.edu.cn']\n",
      "852 https://openreview.net/forum?id=BJlSHsAcK7\n",
      "['Shixian Wen', 'Laurent Itti'] ['usc.edu', 'gmail.com']\n",
      "853 https://openreview.net/forum?id=SkxXg2C5FX\n",
      "['Vitalii Zhelezniak', 'Aleksandar Savkov', 'April Shen', 'Francesco Moramarco', 'Jack Flann', 'Nils Y. Hammerla'] ['babylonhealth.com']\n",
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      "['Bruno Lecouat', 'Chuan-Sheng Foo', 'Houssam Zenati', 'Vijay Chandrasekhar'] ['student.ecp.fr', 'i2r.a-star.edu.sg']\n",
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      "['Haifeng Qian', 'Mark N. Wegman'] ['us.ibm.com']\n",
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      "['Sen Zhao', 'Mahdi Milani Fard', 'Maya Gupta'] ['google.com']\n",
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      "['Qingpeng Cai', 'Ling Pan', 'Pingzhong Tang'] ['gmail.com']\n",
      "859 https://openreview.net/forum?id=S1xq3oR5tQ\n",
      "['Jack Lindsey', 'Samuel A. Ocko', 'Surya Ganguli', 'Stephane Deny'] ['stanford.edu']\n",
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      "['Nicholas Rhinehart', 'Anqi Liu', 'Kihyuk Sohn', 'Paul Vernaza'] ['nec-labs.com', 'caltech.edu', 'cs.cmu.edu']\n",
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      "['Shani Gamrian', 'Yoav Goldberg'] ['gmail.com']\n",
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      "['Yu-Guan Hsieh', 'Gang Niu', 'Masashi Sugiyama'] ['ens.fr', 'riken.jp', 'k.u-tokyo.ac.jp']\n",
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      "['Suhua Lei', 'Huan Zhang', 'Ke Wang', 'Zhendong Su'] ['inf.ethz.ch', 'visa.com', 'huan-zhang.com', 'ucdavis.edu']\n",
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      "867 https://openreview.net/forum?id=BJl6TjRcY7\n",
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      "868 https://openreview.net/forum?id=H1e572A5tQ\n",
      "['Abhishek Das', 'Theophile Gervet', 'Joshua Romoff', 'Dhruv Batra', 'Devi Parikh', 'Mike Rabbat', 'Joelle Pineau'] ['andrew.cmu.edu', 'mail.mcgill.ca', 'cs.mcgill.ca', 'fb.com', 'gatech.edu']\n",
      "869 https://openreview.net/forum?id=HJgd1nAqFX\n",
      "['Sheng Jia', 'Jamie Ryan Kiros', 'Jimmy Ba'] ['gmail.com', 'cs.utoronto.ca', 'mail.utoronto.ca']\n",
      "870 https://openreview.net/forum?id=SkxXCi0qFX\n",
      "['Jonas Rothfuss', 'Dennis Lee', 'Ignasi Clavera', 'Tamim Asfour', 'Pieter Abbeel'] ['cs.berkeley.edu', 'gmail.com', 'berkeley.edu', 'kit.edu']\n",
      "871 https://openreview.net/forum?id=rkeSiiA5Fm\n",
      "['Min Liu', 'Fupin Yao', 'Chiho Choi', 'Ayan Sinha', 'Karthik Ramani'] ['purdue.edu', 'magicleap.com']\n",
      "872 https://openreview.net/forum?id=H1xsSjC9Ym\n",
      "['Dzmitry Bahdanau', 'Felix Hill', 'Jan Leike', 'Edward Hughes', 'Arian Hosseini', 'Pushmeet Kohli', 'Edward Grefenstette'] ['gmail.com', 'umontreal.ca', 'google.com']\n",
      "873 https://openreview.net/forum?id=BklKFo09YX\n",
      "['Łukasz Maziarka', 'Agnieszka Pocha', 'Jan Kaczmarczyk', 'Michał Warchoł'] ['ardigen.com', 'gmail.com']\n",
      "874 https://openreview.net/forum?id=H1eZ6sRcFm\n",
      "['Ryo Kamoi', 'Hiroyasu Fukutomi'] ['keio.jp', 'datasection.co.jp']\n",
      "875 https://openreview.net/forum?id=HkekMnR5Ym\n",
      "['Jack W Rae', 'Sergey Bartunov', 'Timothy P Lillicrap'] ['google.com']\n",
      "876 https://openreview.net/forum?id=HkeILsRqFQ\n",
      "['Simon Carbonnelle', 'Christophe De Vleeschouwer'] ['uclouvain.be']\n",
      "877 https://openreview.net/forum?id=HJGciiR5Y7\n",
      "['ShahRukh Athar', 'Evgeny Burnaev', 'Victor Lempitsky'] ['skoltech.ru', 'cs.stonybrook.edu']\n",
      "878 https://openreview.net/forum?id=HJx54i05tX\n",
      "['Ping Li', 'Phan-Minh Nguyen'] ['gmail.com', 'stanford.edu']\n",
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      "['Qing Yang', 'Wei Wen', 'Zuoguan Wang', 'Yiran Chen', 'Hai Li'] ['duke.edu', 'blacksesame.com']\n",
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      "['Victor Boutin', 'Angelo Franciosini', 'Laurent Perrinet'] ['univ-amu.fr']\n",
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      "['Cheolhyoung Lee', 'Kyunghyun Cho', 'Wanmo Kang'] ['kaist.ac.kr', 'nyu.edu', 'kaist.edu']\n",
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      "['Rahaf Aljundi', 'Marcus Rohrbach', 'Tinne Tuytelaars'] ['gmail.com', 'esat.kuleuven.be', 'fb.com']\n",
      "883 https://openreview.net/forum?id=HyztsoC5Y7\n",
      "['Anusha Nagabandi', 'Ignasi Clavera', 'Simin Liu', 'Ronald S. Fearing', 'Pieter Abbeel', 'Sergey Levine', 'Chelsea Finn'] ['eecs.berkeley.edu', 'berkeley.edu']\n",
      "884 https://openreview.net/forum?id=HygYqs0qKX\n",
      "['Jiahuan Zhou', 'Nikolaos Karianakis', 'Ying Wu', 'Gang Hua'] ['gmail.com', 'microsoft.com', 'eecs.northwestern.edu']\n",
      "885 https://openreview.net/forum?id=rJ4km2R5t7\n",
      "['Alex Wang', 'Amanpreet Singh', 'Julian Michael', 'Felix Hill', 'Omer Levy', 'Samuel R. Bowman'] ['cs.washington.edu', 'nyu.edu', 'google.com']\n",
      "886 https://openreview.net/forum?id=H1gh_sC9tm\n",
      "['Andrey Malinin', 'Mark Gales'] ['cam.ac.uk', 'eng.cam.ac.uk']\n",
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      "['Ji Lin', 'Chuang Gan', 'Song Han'] ['gmail.com', 'mit.edu']\n",
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      "['Hsueh-Ti Derek Liu', 'Michael Tao', 'Chun-Liang Li', 'Derek Nowrouzezahrai', 'Alec Jacobson'] ['cs.toronto.edu', 'cs.cmu.edu', 'cim.mcgill.ca', 'dgp.toronto.edu']\n",
      "890 https://openreview.net/forum?id=rkxraoRcF7\n",
      "['Adria Ruiz', 'Oriol Martinez', 'Xavier Binefa', 'Jakob Verbeek'] ['inria.fr', 'upf.edu']\n",
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      "['Wonwoong Cho', 'Seunghwan Choi', 'Junwoo Park', 'David Keetae Park', 'Tao Qin', 'Jaegul Choo'] ['sk.com', 'gmail.com', 'korea.ac.kr', 'msn.com']\n",
      "892 https://openreview.net/forum?id=BylIciRcYQ\n",
      "['Yi Zhou', 'Junjie Yang', 'Huishuai Zhang', 'Yingbin Liang', 'Vahid Tarokh'] ['osu.edu', 'microsoft.com', 'mail.ustc.edu.cn', 'duke.edu']\n",
      "893 https://openreview.net/forum?id=HJMHpjC9Ym\n"
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      "894 https://openreview.net/forum?id=B1epooR5FX\n",
      "['Victor Carbune', 'Thierry Coppey', 'Alexander Daryin', 'Thomas Deselaers', 'Nikhil Sarda', 'Jay Yagnik'] ['gmail.com', 'google.com']\n",
      "895 https://openreview.net/forum?id=Bkg93jC5YX\n",
      "['Barun Patra', 'Joel Ruben Antony Moniz', 'Sarthak Garg', 'Matthew R Gormley', 'Graham Neubig'] ['andrew.cmu.edu']\n",
      "896 https://openreview.net/forum?id=HygTE309t7\n",
      "['Lei Cao', 'Yizhou Yan', 'Samuel Madden', 'Elke Rundensteiner'] ['csail.mit.edu', 'cs.wpi.edu', 'wpi.edu']\n",
      "897 https://openreview.net/forum?id=HyMnYiR9Y7\n",
      "['Miaofeng Liu', 'Yan Song', 'Hongbin Zou', 'Tong Zhang'] ['gmail.com', 'xdu.edu.cn', 'tencent.com']\n",
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      "['Ben Athiwaratkun', 'Marc Finzi', 'Pavel Izmailov', 'Andrew Gordon Wilson'] ['gmail.com', 'cornell.edu']\n",
      "899 https://openreview.net/forum?id=BJGfCjA5FX\n",
      "['Aibek Alanov', 'Max Kochurov', 'Daniil Yashkov', 'Dmitry Vetrov'] ['gmail.com', 'phystech.edu']\n",
      "900 https://openreview.net/forum?id=S1lTg3RcFm\n",
      "['Mahsa Ghasemi', 'Ufuk Topcu'] ['utexas.edu']\n",
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      "['Scott Reed', 'Yusuf Aytar', 'Ziyu Wang', 'Tom Paine', 'Aäron van den Oord', 'Tobias Pfaff', 'Sergio Gomez', 'Alexander Novikov', 'David Budden', 'Oriol Vinyals'] ['google.com']\n",
      "902 https://openreview.net/forum?id=r1xce3ActX\n",
      "['N/A'] ['data61.csiro.au']\n",
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      "['Ting-Jui Chang', 'Yukun He', 'Peng Li'] ['tamu.edu']\n",
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      "['Philipp Haehnel', 'Julien Monteil', 'Jakub Marecek', \"Fearghal O'Donncha\"] ['ie.ibm.com', 'maths.tcd.ie']\n",
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      "['Bing Yu', 'Jingfeng Wu', 'Jinwen Ma', 'Zhanxing Zhu'] ['math.pku.edu.cn', 'pku.edu.cn']\n",
      "906 https://openreview.net/forum?id=H1zeHnA9KX\n",
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      "['Bo Han', 'Gang Niu', 'Jiangchao Yao', 'Xingrui Yu', 'Miao Xu', 'Ivor Tsang', 'Masashi Sugiyama'] ['uts.edu.au', 'student.uts.edu.au', 'riken.jp', 'k.u-tokyo.ac.jp']\n",
      "908 https://openreview.net/forum?id=S1eEdj0cK7\n",
      "['Xintong Li', 'Lemao Liu', 'Guanlin Li', 'Max Meng', 'Shuming Shi'] ['gmail.com', 'ieee.org', 'tencent.com']\n",
      "909 https://openreview.net/forum?id=rJl3S2A9t7\n",
      "['Huizhuo Yuan', 'Chris Junchi Li', 'Yuhao Tang', 'Yuren Zhou'] ['gmail.com', 'pku.edu.cn', 'duke.edu']\n",
      "910 https://openreview.net/forum?id=HyxPx3R9tm\n",
      "['Xue Bin Peng', 'Angjoo Kanazawa', 'Sam Toyer', 'Pieter Abbeel', 'Sergey Levine'] ['cs.berkeley.edu', 'eecs.berkeley.edu', 'berkeley.edu', 'hotmail.com']\n",
      "911 https://openreview.net/forum?id=SyxknjC9KQ\n",
      "['Ranjan Mondal', 'Sanchayan Santra', 'Bhabatosh Chanda'] ['gmail.com', 'isical.ac.in']\n",
      "912 https://openreview.net/forum?id=H1lADsCcFQ\n",
      "['Shufei Zhang', 'Kaizhu Huang', 'Rui Zhang', 'Amir Hussain'] ['cs.stir.ac.uk', 'xjtlu.edu.cn']\n",
      "913 https://openreview.net/forum?id=HkljioCcFQ\n",
      "['Yuan Yuan', 'Yueming Lyu', 'Xi Shen', 'Ivor W. Tsang', 'Dit-Yan Yeung'] ['cse.ust.hk', 'gmail.com', 'uts.edu.au', 'outlook.com']\n",
      "914 https://openreview.net/forum?id=Syeil309tX\n",
      "['Myung Seok Shim', 'Peng Li'] ['tamu.edu']\n",
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      "['Ori Press', 'Tomer Galanti', 'Sagie Benaim', 'Lior Wolf'] ['gmail.com', 'fb.com']\n",
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      "['Samvit Jain', 'Joseph Gonzalez'] ['cs.berkeley.edu', 'eecs.berkeley.edu']\n",
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      "['Lijun Wu', 'Jinhua Zhu', 'Di He', 'Fei Gao', 'Xu Tan', 'Tao Qin', 'Tie-Yan Liu'] ['pku.edu.cn', 'mail.ustc.edu.cn', 'mail2.sysu.edu.cn', 'microsoft.com']\n",
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      "['Ali Ramezani-Kebrya', 'Ashish Khisti', 'and Ben Liang'] ['ece.utoronto.ca']\n",
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      "['Roman Föll', 'Bernard Haasdonk', 'Markus Hanselmann', 'Holger Ulmer'] ['etas.com', 'mathematik.uni-stuttgart.de']\n",
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      "['Alexander Shekhovtsov', 'Boris Flach'] ['gmail.com', 'inf.tu-dresden.de']\n",
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      "924 https://openreview.net/forum?id=BJzuKiC9KX\n",
      "['Tuan Anh Le', 'Adam R. Kosiorek', 'N. Siddharth', 'Yee Whye Teh', 'Frank Wood'] ['stats.ox.ac.uk', 'robots.ox.ac.uk', 'cs.ubc.ca']\n",
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      "['Brendan Shillingford', 'Yannis Assael', 'Matthew W. Hoffman', 'Thomas Paine', 'Cían Hughes', 'Utsav Prabhu', 'Hank Liao', 'Hasim Sak', 'Kanishka Rao', 'Lorrayne Bennett', 'Marie Mulville', 'Ben Coppin', 'Ben Laurie', 'Andrew Senior', 'Nando de Freitas'] ['google.com']\n",
      "928 https://openreview.net/forum?id=rJl_NhR9K7\n",
      "['Jan Stühmer', 'Richard Turner', 'Sebastian Nowozin'] ['cam.ac.uk', 'microsoft.com']\n",
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      "['Jeremy C. Weiss'] ['gmail.com']\n",
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      "['Boli Fang', 'Chuck Jia', 'Miao Jiang', 'Dhawal Chaturvedi'] ['iu.edu']\n",
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      "['Raihan Seraj', 'Negar Ghourchian', 'Michel Allegue-Martinez'] ['mail.mcgill.ca', 'aerial.ai']\n",
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      "['Marcin Możejko', 'Mateusz Susik', 'Rafał Karczewski'] ['sigmoidal.io']\n",
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      "['Edo Collins', 'Siavash Arjomand Bigdeli', 'Sabine Süsstrunk'] ['epfl.ch']\n",
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      "['Jorn W.T. Peters', 'Tim Genewein', 'Max Welling'] ['gmail.com']\n",
      "935 https://openreview.net/forum?id=rkluJ2R9KQ\n",
      "['Weiwei Kong', 'Christopher Liaw', 'Aranyak Mehta', 'D. Sivakumar'] ['cs.ubc.ca', 'gatech.edu', 'google.com']\n",
      "936 https://openreview.net/forum?id=Hkxarj09Y7\n",
      "['Alexander Stec', 'Diego Klabjan', 'Jean Utke'] ['u.northwestern.edu', 'northwestern.edu', 'allstate.com']\n",
      "937 https://openreview.net/forum?id=SJe9rh0cFX\n",
      "['Yukun Ding', 'Jinglan Liu', 'Jinjun Xiong', 'Yiyu Shi'] ['us.ibm.com', 'nd.edu']\n",
      "938 https://openreview.net/forum?id=rJgYxn09Fm\n",
      "['Pedro Savarese', 'Michael Maire'] ['ttic.edu', 'uchicago.edu']\n",
      "939 https://openreview.net/forum?id=Bkg3g2R9FX\n",
      "['Liangchen Luo', 'Yuanhao Xiong', 'Yan Liu', 'Xu Sun'] ['zju.edu.cn', 'usc.edu', 'pku.edu.cn']\n",
      "940 https://openreview.net/forum?id=BklUAoAcY7\n",
      "['Siddhartha Brahma'] ['gmail.com']\n",
      "941 https://openreview.net/forum?id=r1Vx_oA5YQ\n",
      "['Chong Yu'] ['126.com']\n",
      "942 https://openreview.net/forum?id=S1lVniC5Y7\n",
      "['Aditya Rawal', 'Jason Liang', 'Risto Miikkulainen'] ['utexas.edu', 'cs.utexas.edu']\n",
      "943 https://openreview.net/forum?id=BJgLg3R9KQ\n",
      "['Drew Linsley', 'Dan Shiebler', 'Sven Eberhardt', 'Thomas Serre'] ['brown.edu', 'gmail.com']\n",
      "944 https://openreview.net/forum?id=H1gDgn0qY7\n",
      "['Ke Li*', 'Tianhao Zhang*', 'Jitendra Malik'] ['eecs.berkeley.edu', 'berkeley.edu']\n",
      "945 https://openreview.net/forum?id=HJePno0cYm\n",
      "['Zihang Dai*', 'Zhilin Yang*', 'Yiming Yang', 'William W. Cohen', 'Jaime Carbonell', 'Quoc V. Le', 'Ruslan Salakhutdinov'] ['gmail.com', 'cs.cmu.edu', 'google.com']\n",
      "946 https://openreview.net/forum?id=rkemqsC9Fm\n",
      "['Luis A. Lastras-Montaño'] ['us.ibm.com']\n",
      "947 https://openreview.net/forum?id=SkenUj0qYm\n",
      "['Ran Tian', 'Yash Agrawal', 'Kento Watanabe', 'Hiroya Takamura'] ['iitkgp.ac.in', 'gmail.com', 'aist.go.jp']\n",
      "948 https://openreview.net/forum?id=Hkgnii09Ym\n",
      "['Juho Lee', 'Yoonho Lee', 'Jungtaek Kim', 'Adam R. Kosiorek', 'Seungjin Choi', 'Yee Whye Teh'] ['gmail.com', 'stats.ox.ac.uk', 'postech.ac.kr', 'robots.ox.ac.uk']\n",
      "949 https://openreview.net/forum?id=S1xNb2A9YX\n",
      "['Sanjana Srivastava', 'Guy Ben-Yosef', 'Xavier Boix'] ['csail.mit.edu', 'mit.edu']\n",
      "950 https://openreview.net/forum?id=SkxZFoAqtQ\n"
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      "['Damien Sileo', 'Tim Van de Cruys', 'Camille Pradel', 'Philippe Muller'] ['synapse-fr.com', 'irit.fr']\n",
      "951 https://openreview.net/forum?id=HJei-2RcK7\n",
      "['Yuan Li', 'Xiaodan Liang', 'Zhiting Hu', 'Yinbo Chen', 'Eric P. Xing'] ['mails.tsinghua.edu.cn', 'gmail.com', 'cs.cmu.edu']\n",
      "952 https://openreview.net/forum?id=Hye-LiR5Y7\n",
      "['Or Litany', 'Daniel Freedman'] ['gmail.com', 'google.com']\n",
      "953 https://openreview.net/forum?id=SJf_XhCqKm\n",
      "['Jesse Dodge', 'Kevin Jamieson', 'Noah Smith'] ['cs.cmu.edu', 'cs.washington.edu']\n",
      "954 https://openreview.net/forum?id=HkMwHsCctm\n",
      "['Daniel Bienstock', 'Gonzalo Muñoz', 'Sebastian Pokutta'] ['columbia.edu', 'polymtl.ca', 'isye.gatech.edu']\n",
      "955 https://openreview.net/forum?id=Sygx4305KQ\n",
      "['Joao Henriques', 'Sebastien Ehrhardt', 'Samuel Albanie', 'Andrea Vedaldi'] ['robots.ox.ac.uk']\n",
      "956 https://openreview.net/forum?id=Hyfn2jCcKm\n",
      "['Stephen McAleer', 'Forest Agostinelli', 'Alexander Shmakov', 'Pierre Baldi'] ['ics.uci.edu', 'uci.edu']\n",
      "957 https://openreview.net/forum?id=BJf9k305Fm\n",
      "['Christian Rupprecht', 'Cyril Ibrahim', 'Chris Pal'] ['polymtl.ca', 'in.tum.de', 'elementai.com']\n",
      "958 https://openreview.net/forum?id=S1lqMn05Ym\n",
      "['Alexandre Galashov', 'Siddhant M. Jayakumar', 'Leonard Hasenclever', 'Dhruva Tirumala', 'Jonathan Schwarz', 'Guillaume Desjardins', 'Wojciech M. Czarnecki', 'Yee Whye Teh', 'Razvan Pascanu', 'Nicolas Heess'] ['google.com']\n",
      "959 https://openreview.net/forum?id=Hyx4knR9Ym\n",
      "['Farzan Farnia', 'Jesse Zhang', 'David Tse'] ['stanford.edu']\n",
      "960 https://openreview.net/forum?id=HklY120cYm\n",
      "['Wei Ping', 'Kainan Peng', 'Jitong Chen'] ['gmail.com', 'baidu.com']\n",
      "961 https://openreview.net/forum?id=ByloIiCqYQ\n",
      "['Tue Le', 'Tuan Nguyen', 'Trung Le', 'Dinh Phung', 'Paul Montague', 'Olivier De Vel', 'Lizhen Qu'] ['monash.edu', 'jvn.edu.vn', 'dst.defence.gov.au', 'data61.csiro.au', 'gmail.com']\n",
      "962 https://openreview.net/forum?id=SygeznA9YX\n",
      "['Pritha Ganguly', 'Nitesh Methani'] ['cse.iitm.ac.in']\n",
      "963 https://openreview.net/forum?id=SJfcrn0qKX\n",
      "['Chaowei Xiao', 'Dawei Yang', 'Bo Li', 'Jia Deng', 'Mingyan Liu'] ['cs.princeton.edu', 'gmail.com', 'umich.edu']\n",
      "964 https://openreview.net/forum?id=SkxXwo0qYm\n",
      "['Yuchen Qiao', 'Kenjiro Taura'] ['eidos.ic.i.u-tokyo.ac.jp']\n",
      "965 https://openreview.net/forum?id=ryGs6iA5Km\n",
      "['Keyulu Xu*', 'Weihua Hu*', 'Jure Leskovec', 'Stefanie Jegelka'] ['mit.edu', 'cs.stanford.edu', 'stanford.edu']\n",
      "966 https://openreview.net/forum?id=BJfguoAcFm\n",
      "['Hadi Ghauch', 'Hossein S. Ghadikolaei', 'Mikael Skoglund', 'Carlo Fischione'] ['kth.se']\n",
      "967 https://openreview.net/forum?id=SJgTps0qtQ\n",
      "['Siddharth Mysore', 'Robert Platt', 'Kate Saenko'] ['ccs.neu.edu', 'bu.edu']\n",
      "968 https://openreview.net/forum?id=HkxjYoCqKX\n",
      "['Christos Louizos', 'Matthias Reisser', 'Tijmen Blankevoort', 'Efstratios Gavves', 'Max Welling'] ['uva.nl', 'qti.qualcomm.com']\n",
      "969 https://openreview.net/forum?id=HJeQToAqKQ\n",
      "['Alexander A. Alemi', 'Ian Fischer'] ['google.com']\n",
      "970 https://openreview.net/forum?id=HJMCdsC5tX\n",
      "['Tom Puech', 'Matthieu Boussard'] ['craft.ai']\n",
      "971 https://openreview.net/forum?id=B1xeyhCctQ\n",
      "['Shengjie Wang', 'Tianyi Zhou', 'Jeff Bilmes'] ['uw.edu', 'gmail.com', 'cs.washington.edu']\n",
      "972 https://openreview.net/forum?id=H1fsUiRcKQ\n",
      "['Dongha Kim', 'Yongchan Choi', 'Jae-Joon Han', 'Changkyu Choi', 'Yongdai Kim'] ['hanmail.net', 'gmail.com', 'samsung.com']\n",
      "973 https://openreview.net/forum?id=BklCusRct7\n",
      "['Eirikur Agustsson', 'Alexander Sage', 'Radu Timofte', 'Luc Van Gool'] ['gmail.com', 'vision.ee.ethz.ch']\n",
      "974 https://openreview.net/forum?id=ryljV2A5KX\n",
      "['Insu Jeon', 'Wonkwang Lee', 'Gunhee Kim'] ['gmail.com', 'vision.snu.ac.kr', 'snu.ac.kr']\n",
      "975 https://openreview.net/forum?id=SyfXKoRqFQ\n",
      "['Hwanjun Song', 'Sundong Kim', 'Minseok Kim', 'Jae-Gil Lee'] ['kaist.ac.kr']\n",
      "976 https://openreview.net/forum?id=H1lJJnR5Ym\n",
      "['Yuri Burda', 'Harrison Edwards', 'Amos Storkey', 'Oleg Klimov'] ['openai.com', 'sms.ed.ac.uk', 'ed.ac.uk']\n",
      "977 https://openreview.net/forum?id=HyeS73ActX\n",
      "['Hussein Sibai', 'Sayan Mitra'] ['illinois.edu']\n",
      "978 https://openreview.net/forum?id=HJlfAo09KX\n",
      "['Haoyu Fu', 'Yuejie Chi', 'Yingbin Liang'] ['osu.edu', 'cmu.edu']\n",
      "979 https://openreview.net/forum?id=ryxepo0cFX\n",
      "['Bo Chang', 'Minmin Chen', 'Eldad Haber', 'Ed H. Chi'] ['math.ubc.ca', 'stat.ubc.ca', 'google.com']\n",
      "980 https://openreview.net/forum?id=rJe10iC5K7\n",
      "['Zhenjia Xu', 'Zhijian Liu', 'Chen Sun', 'Kevin Murphy', 'William T. Freeman', 'Joshua B. Tenenbaum', 'Jiajun Wu'] ['gmail.com', 'mit.edu', 'google.com']\n",
      "981 https://openreview.net/forum?id=ryM07h0cYX\n",
      "['Aijun Bai', 'Dongdong Chen', 'Gang Hua', 'Lu Yuan'] ['gmail.com', 'mail.ustc.edu.cn', 'microsoft.com']\n",
      "982 https://openreview.net/forum?id=H1eRBoC9FX\n",
      "['Abhishek Gupta', 'Benjamin Eysenbach', 'Chelsea Finn', 'Sergey Levine'] ['eecs.berkeley.edu', 'gmail.com', 'berkeley.edu']\n",
      "983 https://openreview.net/forum?id=SygInj05Fm\n",
      "['Hugh Chen', 'Scott Lundberg', 'Gabe Erion', 'Su-In Lee'] ['cs.washington.edu']\n",
      "984 https://openreview.net/forum?id=SJMeTo09YQ\n",
      "['Sahisnu Mazumder', 'Bing Liu', 'Shuai Wang', 'Yingxuan Zhu', 'Xiaotian Yin', 'Lifeng Liu', 'Jian Li', 'Yongbing Huang'] ['gmail.com', 'huawei.com', 'cs.uic.edu']\n",
      "985 https://openreview.net/forum?id=BkgPajAcY7\n",
      "['John Wieting', 'Douwe Kiela'] ['cs.cmu.edu', 'fb.com']\n",
      "986 https://openreview.net/forum?id=rJVorjCcKQ\n",
      "['Florian Tramer', 'Dan Boneh'] ['cs.stanford.edu']\n",
      "987 https://openreview.net/forum?id=HJG0ojCcFm\n",
      "['Yoram Bachrach', 'Richard Everett', 'Edward Hughes', 'Angeliki Lazaridou', 'Joel Leibo', 'Marc Lanctot', 'Mike Johanson', 'Wojtek Czarnecki', 'Thore Graepel'] ['google.com']\n",
      "988 https://openreview.net/forum?id=SJzqpj09YQ\n",
      "['David Pfau', 'Stig Petersen', 'Ashish Agarwal', 'David G. T. Barrett', 'Kimberly L. Stachenfeld'] ['google.com']\n",
      "989 https://openreview.net/forum?id=HkezfhA5Y7\n",
      "['Angus Galloway', 'Anna Golubeva', 'Graham W. Taylor'] ['perimeterinstitute.ca', 'uoguelph.ca']\n",
      "990 https://openreview.net/forum?id=r1z1UjA5FX\n",
      "['Bao Wang', 'Alex T. Lin', 'Zuoqiang Shi', 'Wei Zhu', 'Penghang Yin', 'Andrea L. Bertozzi', 'Stanley J. Osher'] ['math.ucla.edu', 'mail.tsinghua.edu.cn', 'g.ucla.edu', 'math.duke.edu', 'gmail.com']\n",
      "991 https://openreview.net/forum?id=Hyghb2Rct7\n",
      "['Yutong Bai', 'Lingxi Xie'] ['gmail.com']\n",
      "992 https://openreview.net/forum?id=r1luCsCqFm\n",
      "['Benyuan Sun', 'Yizhou Wang'] ['pku.edu.cn']\n",
      "993 https://openreview.net/forum?id=ByN7Yo05YX\n",
      "['Ryutaro Tanno', 'Kai Arulkumaran', 'Daniel C. Alexander', 'Antonio Criminisi', 'Aditya Nori'] ['microsoft.com', 'imperial.ac.uk', 'ucl.ac.uk']\n",
      "994 https://openreview.net/forum?id=Bkx8OiRcYX\n",
      "['Anand Avati', 'Tony Duan', 'Sharon Zhou'] ['cs.stanford.edu']\n",
      "995 https://openreview.net/forum?id=ryewE3R5YX\n",
      "['Chaowei Xiao', 'Xinlei Pan', 'Warren He', 'Bo Li', 'Jian Peng', 'Mingjie Sun', 'Jinfeng Yi', 'Mingyan Liu', 'Dawn Song.'] ['eecs.berkeley.edu', 'berkeley.edu', 'illinois.edu', 'mails.tsinghua.com', 'umich.edu', 'gmail.com']\n",
      "996 https://openreview.net/forum?id=B1fA3oActQ\n",
      "['Guoshuai Zhao', 'Jun Li', 'Lu Wang', 'Xueming Qian', 'Yun Fu'] ['ece.neu.edu', 'ccs.neu.edu', 'stu.xjtu.edu.cn', 'mail.xjtu.edu.cn', 'gmail.com']\n",
      "997 https://openreview.net/forum?id=ryxLG2RcYX\n",
      "['Evan Zheran Liu', 'Ramtin Keramati', 'Sudarshan Seshadri', 'Kelvin Guu', 'Panupong Pasupat', 'Emma Brunskill', 'Percy Liang'] ['cs.stanford.edu', 'stanford.edu']\n",
      "998 https://openreview.net/forum?id=HJM4SjR5KQ\n",
      "['Diogo Pernes', 'Jaime S. Cardoso'] ['inesctec.pt']\n",
      "999 https://openreview.net/forum?id=HyM8V2A9Km\n",
      "['Yuhuai Wu', 'Harris Chan', 'Jamie Kiros', 'Sanja Fidler', 'Jimmy Ba'] ['cs.toronto.edu', 'gmail.com']\n",
      "1000 https://openreview.net/forum?id=rygFmh0cKm\n",
      "['Chin-Wei Huang', 'Faruk Ahmed', 'Kundan Kumar', 'Alexandre Lacoste', 'Aaron Courville'] ['gmail.com', 'umontreal.ca', 'elementai.com']\n",
      "1001 https://openreview.net/forum?id=Sye8S209KX\n",
      "['Wasi Uddin Ahmad', 'Xueying Bai', 'Nanyun Peng', 'Kai-Wei Chang'] ['isi.edu', 'cs.stonybrook.edu', 'cs.ucla.edu']\n",
      "1002 https://openreview.net/forum?id=ryxhynC9KX\n",
      "['Yu Wang', 'Fengjuan Gao', 'Amin Alipour', 'Linzhang Wang', 'Xuandong Li', 'Zhendong Su'] ['nju.edu.cn', 'seg.nju.edu.cn', 'cs.uh.edu', 'inf.ethz.ch']\n",
      "1003 https://openreview.net/forum?id=ryeyti0qKX\n",
      "['Daeyoung Choi', 'Wonjong Rhee', 'Kyungeun Lee', 'Changho Shin'] ['encoredtech.com', 'snu.ac.kr']\n",
      "1004 https://openreview.net/forum?id=HJxdAoCcYX\n"
     ]
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      "['Xiaojun Xu', 'Yue Yu', 'Bo Li', 'Le Song', 'Chengfeng Liu', 'Carl Gunter'] ['illinois.edu', 'gmail.com', 'cc.gatech.edu', 'tencent.com']\n",
      "1005 https://openreview.net/forum?id=ryGgSsAcFQ\n",
      "['Jesse Johnson'] ['gmail.com']\n",
      "1006 https://openreview.net/forum?id=HJl1ujCct7\n",
      "['Shuhui Qu', 'Janghwan Lee', 'Wei Xiong', 'Wonhyouk Jang', 'Jie Wang'] ['samsung.com', 'stanford.edu']\n",
      "1007 https://openreview.net/forum?id=SkGNrnC9FQ\n",
      "['Jay S. Stanley III', 'Guy Wolf', 'Smita Krishnaswamy'] ['yale.edu']\n",
      "1008 https://openreview.net/forum?id=Skxqni09KX\n",
      "['Zhuoran Yang', 'Cheng Zhou', 'Tong Zhang', 'Han Liu'] ['gmail.com', 'tongzhang-ml.org', 'princeton.edu', 'tencent.com']\n",
      "1009 https://openreview.net/forum?id=Hylnis0qKX\n",
      "['Jiahong Ouyang', 'Guanhua Wang', 'Enhao Gong', 'Kevin Chen', 'John Pauly and Greg Zaharchuk'] ['stanford.edu']\n",
      "1010 https://openreview.net/forum?id=HJx38iC5KX\n",
      "['Kei Akuzawa', 'Yusuke Iwasawa', 'Yutaka Matsuo'] ['weblab.t.u-tokyo.ac.jp']\n",
      "1011 https://openreview.net/forum?id=HkgEQnRqYQ\n",
      "['Zhiqing Sun', 'Zhi-Hong Deng', 'Jian-Yun Nie', 'Jian Tang'] ['pku.edu.cn', 'iro.umontreal.ca', 'hec.ca']\n",
      "1012 https://openreview.net/forum?id=SJVmjjR9FX\n",
      "['Cheng Zhang', 'Frederick A. Matsen IV'] ['fredhutch.org', 'gmail.com']\n",
      "1013 https://openreview.net/forum?id=Sylw7nCqFQ\n",
      "['Zitian Chen', 'Yanwei Fu', 'Yu-Xiong Wang', 'Lin Ma', 'Wei Liu', 'Martial Hebert'] ['ri.cmu.edu', 'fudan.edu.cn', 'cs.cmu.edu', 'columbia.edu', 'gmail.com']\n",
      "1014 https://openreview.net/forum?id=SyerAiCqt7\n",
      "['Ishani Chakraborty'] ['gmail.com']\n",
      "1015 https://openreview.net/forum?id=B1MIBs05F7\n",
      "['Aaron Defazio'] ['gmail.com']\n",
      "1016 https://openreview.net/forum?id=HkzRQhR9YX\n",
      "['Josue Nassar', 'Scott Linderman', 'Monica Bugallo', 'Il Memming Park'] ['columbia.edu', 'stonybrook.edu']\n",
      "1017 https://openreview.net/forum?id=Sklqvo0qt7\n",
      "['Lei Wu', 'Chao Ma', 'Weinan E'] ['math.princeton.edu', 'pku.edu.cn', 'princeton.edu']\n",
      "1018 https://openreview.net/forum?id=S1zk9iRqF7\n",
      "['James Jordon', 'Jinsung Yoon', 'Mihaela van der Schaar'] ['wolfson.ox.ac.uk', 'gmail.com', 'eng.ox.ac.uk']\n",
      "1019 https://openreview.net/forum?id=rJgfjjC9Ym\n",
      "['Ayan Chakrabarti', 'Benjamin Moseley'] ['andrew.cmu.edu', 'wustl.edu']\n",
      "1020 https://openreview.net/forum?id=HyGhN2A5tm\n",
      "['Yiren Wang', 'Yingce Xia', 'Tianyu He', 'Fei Tian', 'Tao Qin', 'ChengXiang Zhai', 'Tie-Yan Liu'] ['gmail.com', 'mail.ustc.edu.cn', 'microsoft.com', 'illinois.edu']\n",
      "1021 https://openreview.net/forum?id=H1faSn0qY7\n",
      "['Marc Fischer', 'Mislav Balunovic', 'Dana Drachsler-Cohen', 'Timon Gehr', 'Ce Zhang', 'Martin Vechev'] ['inf.ethz.ch', 'student.ethz.ch']\n",
      "1022 https://openreview.net/forum?id=rkgoyn09KQ\n",
      "['Pankaj Gupta', 'Yatin Chaudhary', 'Florian Buettner', 'Hinrich Schuetze'] ['yahoo.com', 'gmail.com', 'hotmail.com']\n",
      "1023 https://openreview.net/forum?id=rJl-b3RcF7\n",
      "['Jonathan Frankle', 'Michael Carbin'] ['csail.mit.edu', 'mit.edu']\n",
      "1024 https://openreview.net/forum?id=SkxJ-309FQ\n",
      "['Katherine Lee', 'Orhan Firat', 'Ashish Agarwal', 'Clara Fannjiang', 'David Sussillo'] ['berkeley.edu', 'google.com']\n",
      "1025 https://openreview.net/forum?id=rkxusjRctQ\n",
      "['Dan Rosenbaum', 'Frederic Besse', 'Fabio Viola', 'Danilo J. Rezende', 'S. M. Ali Eslami'] ['google.com']\n",
      "1026 https://openreview.net/forum?id=Syx_Ss05tm\n",
      "['Gamaleldin F. Elsayed', 'Ian Goodfellow', 'Jascha Sohl-Dickstein'] ['gmail.com', 'google.com']\n",
      "1027 https://openreview.net/forum?id=Byg3y3C9Km\n",
      "['John Ingraham', 'Adam Riesselman', 'Chris Sander', 'Debora Marks'] ['gmail.com']\n",
      "1028 https://openreview.net/forum?id=Ske7ToC5Km\n",
      "['Shaileshh Bojja Venkatakrishnan', 'Mohammad Alizadeh', 'Pramod Viswanath'] ['csail.mit.edu', 'illinois.edu']\n",
      "1029 https://openreview.net/forum?id=HklVTi09tm\n",
      "['Ruoshi Liu', 'Michael M. Norton', 'Seth Fraden', 'Pengyu Hong'] ['brandeis.edu']\n",
      "1030 https://openreview.net/forum?id=Byl_ciRcY7\n",
      "['Yifei HUANG', 'Yuan YAO', 'Weizhi ZHU'] ['ust.hk', 'connect.ust.hk']\n",
      "1031 https://openreview.net/forum?id=BJfRpoA9YX\n",
      "['Antonia Creswell', 'Yumnah Mohamied', 'Biswa Sengupta', 'Anil Bharath'] ['gmail.com', 'ic.ac.uk']\n",
      "1032 https://openreview.net/forum?id=rJxcHnRqYQ\n",
      "['Jeng-Hau Lin', 'Yunfan Yang', 'Rajesh K. Gupta', 'Zhuowen Tu'] ['ucsd.edu']\n",
      "1033 https://openreview.net/forum?id=Bygh9j09KX\n",
      "['Robert Geirhos', 'Patricia Rubisch', 'Claudio Michaelis', 'Matthias Bethge', 'Felix A. Wichmann', 'Wieland Brendel'] ['bethgelab.org', 'geirhos.de', 'uni-tuebingen.de', 'rubisch.net']\n",
      "1034 https://openreview.net/forum?id=Hkg313AcFX\n",
      "['Kirill Neklyudov', 'Dmitry Vetrov'] ['gmail.com']\n",
      "1035 https://openreview.net/forum?id=B1eCCoR5tm\n",
      "['Jin Sean Lim', 'Robert John Durrant'] ['nicklim.com', 'waikato.ac.nz']\n",
      "1036 https://openreview.net/forum?id=B1fbosCcYm\n",
      "['Ethan Harris', 'Mahesan Niranjan', 'Jonathon Hare'] ['ecs.soton.ac.uk']\n",
      "1037 https://openreview.net/forum?id=rkgpCoRctm\n",
      "['Igor M. Quintanilha', 'Roberto de M. E. Filho', 'José Lezama', 'Mauricio Delbracio', 'Leonardo O. Nunes'] ['poli.ufrj.br', 'microsoft.com', 'fing.edu.uy']\n",
      "1038 https://openreview.net/forum?id=BygrtoC9Km\n",
      "['Chunrui Han', 'Shiguang Shan', 'Meina Kan', 'Shuzhe Wu', 'Xilin Chen'] ['ict.ac.cn', 'vipl.ict.ac.cn']\n",
      "1039 https://openreview.net/forum?id=HkgnpiR9Y7\n",
      "['Duhyeon Bang', 'Hyunjung Shim'] ['yonsei.ac.kr']\n",
      "1040 https://openreview.net/forum?id=BJeem3C9F7\n",
      "['Sai Rajeswar', 'Fahim Mannan', 'Florian Golemo', 'David Vazquez', 'Derek Nowrouzezahrai', 'Aaron Courville'] ['inria.fr', 'gmail.com', 'cvc.uab.es']\n",
      "1041 https://openreview.net/forum?id=Hyg74h05tX\n",
      "['Jonathan Ho', 'Xi Chen', 'Aravind Srinivas', 'Yan Duan', 'Pieter Abbeel'] ['cs.berkeley.edu', 'gmail.com', 'berkeley.edu', 'covariant.ai']\n",
      "1042 https://openreview.net/forum?id=SJfHg2A5tQ\n",
      "['Sajad Darabi', 'Mouloud Belbahri', 'Matthieu Courbariaux', 'Vahid Partovi Nia'] ['gmail.com', 'dms.umontreal.ca', 'huawei.com', 'cs.ucla.edu']\n",
      "1043 https://openreview.net/forum?id=HJl0jiRqtX\n",
      "['Chao Ma', 'Sebastian Tschiatschek', 'Konstantina Palla', 'Jose Miguel Hernandez Lobato', 'Sebastian Nowozin', 'Cheng Zhang'] ['cam.ac.uk', 'microsoft.com']\n",
      "1044 https://openreview.net/forum?id=rJl8BhRqF7\n",
      "['Ruairidh M. Battleday', 'Joshua C. Peterson', 'Thomas L. Griffiths'] ['gmail.com', 'princeton.edu']\n",
      "1045 https://openreview.net/forum?id=SJzwvoCqF7\n",
      "['Xingguo Li', 'Junwei Lu', 'Zhaoran Wang', 'Jarvis Haupt', 'Tuo Zhao'] ['umn.edu', 'hsph.harvard.edu', 'gmail.com', 'princeton.edu', 'gatech.edu']\n",
      "1046 https://openreview.net/forum?id=r1gRCiA5Ym\n",
      "['Shengjie Wang'] ['gmail.com']\n",
      "1047 https://openreview.net/forum?id=SkxANsC9tQ\n",
      "['Thomas Bonald', 'Bertrand Charpentier'] ['telecom-paristech.fr', 'live.fr']\n",
      "1048 https://openreview.net/forum?id=HygT9oRqFX\n",
      "['Yoichi Yaguchi', 'Fumiyuki Shiratani', 'Hidekazu Iwaki'] ['ot.olympus.co.jp']\n",
      "1049 https://openreview.net/forum?id=H1xSNiRcF7\n",
      "['Xiang Li', 'Luke Vilnis', 'Dongxu Zhang', 'Michael Boratko', 'Andrew McCallum'] ['math.umass.edu', 'cs.umass.edu']\n",
      "1050 https://openreview.net/forum?id=HkMlGnC9KQ\n",
      "['Alberto Bietti*', 'Grégoire Mialon*', 'Julien Mairal'] ['inria.fr']\n",
      "1051 https://openreview.net/forum?id=r1lcM3AcKm\n",
      "['Ge Ya Luo', 'Jie Fu', 'Pengfei Liu', 'Zhi Hao Luo', 'Chris Pal'] ['polymtl.ca', 'umontreal.ca', 'fudan.edu.cn']\n",
      "1052 https://openreview.net/forum?id=SJea5oAqK7\n",
      "['Ahmed M. Alaa', 'Mihaela van der Schaar'] ['gmail.com', 'hotmail.com']\n",
      "1053 https://openreview.net/forum?id=BkedznAqKQ\n",
      "['Renjie Liao', 'Zhizhen Zhao', 'Raquel Urtasun', 'Richard Zemel'] ['cs.toronto.edu', 'uber.com', 'illinois.edu']\n",
      "1054 https://openreview.net/forum?id=rkgbwsAcYm\n",
      "['Xingjian Li', 'Haoyi Xiong', 'Hanchao Wang', 'Yuxuan Rao', 'Liping Liu', 'Jun Huan'] ['illinois.edu', 'gmail.com', 'baidu.com', 'qq.com']\n",
      "1055 https://openreview.net/forum?id=H1lqZhRcFm\n",
      "['Lior Wolf', 'Sagie Benaim', 'Tomer Galanti'] ['gmail.com', 'fb.com']\n",
      "1056 https://openreview.net/forum?id=SkfMWhAqYQ\n",
      "['Wieland Brendel', 'Matthias Bethge'] ['bethgelab.org', 'uni-tuebingen.de']\n",
      "1057 https://openreview.net/forum?id=B1xf9jAqFQ\n",
      "['Christian Hansen', 'Casper Hansen', 'Stephen Alstrup', 'Jakob Grue Simonsen', 'Christina Lioma'] ['di.ku.dk']\n",
      "1058 https://openreview.net/forum?id=BygREjC9YQ\n",
      "['Laurence Aitchison'] ['gmail.com']\n",
      "1059 https://openreview.net/forum?id=SJeFNoRcFQ\n",
      "['Charles H. Martin', 'Michael W. Mahoney'] ['stat.berkeley.edu', 'calculationconsulting.com']\n",
      "1060 https://openreview.net/forum?id=SJxTroR9F7\n"
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      "['Quan Vuong', 'Yiming Zhang', 'Keith W. Ross'] ['gmail.com', 'nyu.edu']\n",
      "1061 https://openreview.net/forum?id=BkgzniCqY7\n",
      "['Kaidi Xu', 'Sijia Liu', 'Pu Zhao', 'Pin-Yu Chen', 'Huan Zhang', 'Quanfu Fan', 'Deniz Erdogmus', 'Yanzhi Wang', 'Xue Lin'] ['ibm.com', 'us.ibm.com', 'ece.neu.edu', 'northeastern.edu', 'ucdavis.edu', 'husky.neu.edu']\n",
      "1062 https://openreview.net/forum?id=BJGVX3CqYm\n",
      "['Bichen Wu', 'Yanghan Wang', 'Peizhao Zhang', 'Yuandong Tian', 'Peter Vajda'] ['instagram.com', 'berkeley.edu', 'fb.com']\n",
      "1063 https://openreview.net/forum?id=SkgYciAqF7\n",
      "['N/A'] ['navercorp.com']\n",
      "1064 https://openreview.net/forum?id=HJeu43ActQ\n",
      "['Sirisha Rambhatla', 'Xingguo Li', 'Jarvis Haupt'] ['umn.edu']\n",
      "1065 https://openreview.net/forum?id=B1g30j0qF7\n",
      "['Roman Novak', 'Lechao Xiao', 'Yasaman Bahri', 'Jaehoon Lee', 'Greg Yang', 'Jiri Hron', 'Daniel A. Abolafia', 'Jeffrey Pennington', 'Jascha Sohl-dickstein'] ['cam.ac.uk', 'microsoft.com', 'google.com']\n",
      "1066 https://openreview.net/forum?id=rJeXCo0cYX\n",
      "['Maxime Chevalier-Boisvert', 'Dzmitry Bahdanau', 'Salem Lahlou', 'Lucas Willems', 'Chitwan Saharia', 'Thien Huu Nguyen', 'Yoshua Bengio'] ['gmail.com', 'cs.uoregon.edu', 'umontreal.ca']\n",
      "1067 https://openreview.net/forum?id=ByME42AqK7\n",
      "['Thomas Elsken', 'Jan Hendrik Metzen', 'Frank Hutter'] ['de.bosch.com', 'cs.uni-freiburg.de']\n",
      "1068 https://openreview.net/forum?id=HJeq43AqF7\n",
      "['Andrew Drozdov', 'Patrick Verga', 'Mohit Yadev', 'Mohit Iyyer', 'Andrew McCallum'] ['cs.umass.edu']\n",
      "1069 https://openreview.net/forum?id=r1znKiAcY7\n",
      "['Shengzhong Zhang', 'Ziang Zhou', 'Zengfeng Huang', 'Zhongyu Wei'] ['fudan.edu.cn']\n",
      "1070 https://openreview.net/forum?id=BJgGhiR5KX\n",
      "['Muthuraman Chidambaram', 'Yinfei Yang', 'Daniel Cer', 'Steve Yuan', 'Yun-Hsuan Sung', 'Brian Strope', 'Ray Kurzweil'] ['virginia.edu', 'google.com']\n",
      "1071 https://openreview.net/forum?id=rkgW0oA9FX\n",
      "['Chris Zhang', 'Mengye Ren', 'Raquel Urtasun'] ['cs.toronto.edu', 'edu.uwaterloo.ca']\n",
      "1072 https://openreview.net/forum?id=B1gTShAct7\n",
      "['Matthew Riemer', 'Ignacio Cases', 'Robert Ajemian', 'Miao Liu', 'Irina Rish', 'Yuhai Tu', 'and Gerald Tesauro'] ['ibm.com', 'mit.edu', 'us.ibm.com', 'stanford.edu']\n",
      "1073 https://openreview.net/forum?id=HyN-M2Rctm\n",
      "['Lucas Deecke', 'Iain Murray', 'Hakan Bilen'] ['ed.ac.uk']\n",
      "1074 https://openreview.net/forum?id=H1gL-2A9Ym\n",
      "['Johannes Klicpera', 'Aleksandar Bojchevski', 'Stephan Günnemann'] ['in.tum.de']\n",
      "1075 https://openreview.net/forum?id=SJe8DsR9tm\n",
      "['Yu-Yi Su', 'Yung-Chih Chen', 'Xiang-Xiu Wu', 'Shih-Chieh Chang'] ['gmail.com', 'cs.nthu.edu.tw']\n",
      "1076 https://openreview.net/forum?id=BylRVjC9K7\n",
      "['Xingyu Zhou', 'Tengyu Ma', 'Huahong Zhang'] ['vanderbilt.edu']\n",
      "1077 https://openreview.net/forum?id=HylTXn0qYX\n",
      "['Chulhee Yun', 'Suvrit Sra', 'Ali Jadbabaie'] ['mit.edu']\n",
      "1078 https://openreview.net/forum?id=BygIV2CcKm\n",
      "['Donghoon Lee', 'Chang D. Yoo'] ['kaist.ac.kr']\n",
      "1079 https://openreview.net/forum?id=ryE98iR5tm\n",
      "['James Townsend', 'Thomas Bird', 'David Barber'] ['cs.ucl.ac.uk', 'ucl.ac.uk']\n",
      "1080 https://openreview.net/forum?id=SyzjBiR9t7\n",
      "['Rudrasis Chakraborty', 'Jose Bouza', 'Jonathan Manton', 'Baba C. Vemuri'] ['gmail.com', 'ufl.edu', 'ieee.org']\n",
      "1081 https://openreview.net/forum?id=B1GHJ3R9tQ\n",
      "['Neale Ratzlaff', 'Li Fuxin'] ['oregonstate.edu']\n",
      "1082 https://openreview.net/forum?id=r1eVMnA9K7\n",
      "['David Warde-Farley', 'Tom Van de Wiele', 'Tejas Kulkarni', 'Catalin Ionescu', 'Steven Hansen', 'Volodymyr Mnih'] ['gmail.com', 'google.com']\n",
      "1083 https://openreview.net/forum?id=ryfcCo0ctQ\n",
      "['Zhuoran Yang', 'Zuyue Fu', 'Kaiqing Zhang', 'Zhaoran Wang'] ['gmail.com', 'princeton.edu', 'u.northwestern.edu', 'illinois.edu']\n",
      "1084 https://openreview.net/forum?id=B1G9doA9F7\n",
      "['Ehsan Hosseini-Asl', 'Yingbo Zhou', 'Caiming Xiong', 'Richard Socher'] ['salesforce.com']\n",
      "1085 https://openreview.net/forum?id=BkMWx309FX\n",
      "['Jingkang Wang', 'Yang Liu', 'Bo Li'] ['gmail.com', 'ucsc.edu', 'sjtu.edu.cn']\n",
      "1086 https://openreview.net/forum?id=Syzn9i05Ym\n",
      "['Yunfu Song', 'Zhijian Ou'] ['gmail.com', 'qq.com']\n",
      "1087 https://openreview.net/forum?id=HJlmhs05tm\n",
      "['Rithesh Kumar', 'Anirudh Goyal', 'Aaron Courville', 'Yoshua Bengio'] ['gmail.com']\n",
      "1088 https://openreview.net/forum?id=rJevYoA9Fm\n",
      "['Hanie Sedghi', 'Vineet Gupta', 'Philip M. Long'] ['google.com']\n",
      "1089 https://openreview.net/forum?id=H1GWAoRcKX\n",
      "['Shweta Bhardwaj', 'Mukundhan Srinivasan', 'Mitesh M. Khapra'] ['nvidia.com', 'cse.iitm.ac.in']\n",
      "1090 https://openreview.net/forum?id=SkeL6sCqK7\n",
      "['Ravid Shwartz-Ziv', 'Amichai Painsky', 'Naftali Tishby'] ['mail.huji.ac.il', 'cs.huji.ac.il']\n",
      "1091 https://openreview.net/forum?id=HJgeEh09KQ\n",
      "['Gagandeep Singh', 'Timon Gehr', 'Markus Püschel', 'Martin Vechev'] ['inf.ethz.ch']\n",
      "1092 https://openreview.net/forum?id=rJl6M2C5Y7\n",
      "['Paul Vicol', 'Jeffery Z. HaoChen', 'Roger Grosse'] ['cs.toronto.edu', 'mails.tsinghua.edu.cn']\n",
      "1093 https://openreview.net/forum?id=SyeBqsRctm\n",
      "['Botty Dimanov', 'Mateja Jamnik'] ['cl.cam.ac.uk']\n",
      "1094 https://openreview.net/forum?id=ByfXe2C5tm\n",
      "['Leon Weber', 'Pasquale Minervini', 'Ulf Leser', 'Tim Rocktäschel'] ['informatik.hu-berlin.de', 'gmail.com', 'posteo.de']\n",
      "1095 https://openreview.net/forum?id=HkgSk2A9Y7\n",
      "['Mahmoud Assran', 'Nicolas Loizou', 'Nicolas Ballas', 'Mike Rabbat'] ['sms.ed.ac.uk', 'fb.com']\n",
      "1096 https://openreview.net/forum?id=S1g9N2A5FX\n",
      "['Tameem Adel', 'Cuong V. Nguyen', 'Richard E. Turner', 'Zoubin Ghahramani', 'Adrian Weller'] ['gmail.com', 'cam.ac.uk', 'eng.cam.ac.uk']\n",
      "1097 https://openreview.net/forum?id=SJgNwi09Km\n",
      "['Xiaopeng Li', 'Zhourong Chen', 'Leonard K. M. Poon', 'Nevin L. Zhang'] ['cse.ust.hk', 'eduhk.hk']\n",
      "1098 https://openreview.net/forum?id=ryfz73C9KQ\n",
      "['Zhaohan Daniel Guo', 'Mohammad Gheshlaghi Azar', 'Bilal Piot', 'Bernardo Avila Pires', 'Rémi Munos'] ['gmail.com', 'google.com']\n",
      "1099 https://openreview.net/forum?id=SJgw_sRqFQ\n",
      "['Yasin Yaz{\\\\i}c{\\\\i}', 'Chuan-Sheng Foo', 'Stefan Winkler', 'Kim-Hui Yap', 'Georgios Piliouras', 'Vijay Chandrasekhar'] ['i2r.a-star.edu.sg', 'e.ntu.edu.sg', 'sutd.edu.sg', 'ntu.edu.sg', 'adsc-create.edu.sg']\n",
      "1100 https://openreview.net/forum?id=HyNA5iRcFQ\n",
      "['Tianxing He', 'James Glass'] ['mit.edu']\n",
      "1101 https://openreview.net/forum?id=B1l8SsR9Fm\n",
      "['Hossein S. Ghadikolaei', 'Hadi Ghauch', 'Carlo Fischione', 'Mikael Skoglund'] ['kth.se']\n",
      "1102 https://openreview.net/forum?id=S1GcHsAqtm\n",
      "['Raphael Tang', 'Jimmy Lin'] ['uwaterloo.ca']\n",
      "1103 https://openreview.net/forum?id=rJedV3R5tm\n",
      "['Weili Nie', 'Nina Narodytska', 'Ankit Patel'] ['rice.edu', 'vmware.com']\n",
      "1104 https://openreview.net/forum?id=HkeKVh05Fm\n",
      "['Congying Xia', 'Chenwei Zhang', 'Tao Yang', 'Yaliang Li', 'Nan Du', 'Xian Wu', 'Wei Fan', 'Fenglong Ma', 'Philip S. Yu'] ['uic.edu', 'buffalo.edu', 'tencent.com']\n",
      "1105 https://openreview.net/forum?id=HJz6tiCqYm\n",
      "['Dan Hendrycks', 'Thomas Dietterich'] ['oregonstate.edu', 'berkeley.edu']\n",
      "1106 https://openreview.net/forum?id=rkgBHoCqYX\n",
      "['Mohamed El Amine Seddik', 'Mohamed Tamaazousti', 'Romain Couillet'] ['gmail.com', 'cea.fr']\n",
      "1107 https://openreview.net/forum?id=r1l9Nj09YQ\n",
      "['Armen Aghajanyan', 'Xia Song', 'Saurabh Tiwary'] ['microsoft.com']\n",
      "1108 https://openreview.net/forum?id=ryxSrhC9KX\n",
      "['Charles Y. Zheng', 'Francisco Pereira', 'Chris I. Baker', 'Martin N. Hebart'] ['mail.nih.gov', 'nih.gov']\n",
      "1109 https://openreview.net/forum?id=BJg_roAcK7\n",
      "['Jinsung Yoon', 'James Jordon', 'Mihaela van der Schaar'] ['wolfson.ox.ac.uk', 'gmail.com', 'eng.ox.ac.uk']\n",
      "1110 https://openreview.net/forum?id=rygqqsA9KX\n",
      "['Yao-Hung Hubert Tsai', 'Paul Pu Liang', 'Amir Zadeh', 'Louis-Philippe Morency', 'Ruslan Salakhutdinov'] ['cs.cmu.edu']\n",
      "1111 https://openreview.net/forum?id=BJfIVjAcKm\n",
      "['Kai Y. Xiao', 'Vincent Tjeng', 'Nur Muhammad (Mahi) Shafiullah', 'Aleksander Madry'] ['mit.edu']\n",
      "1112 https://openreview.net/forum?id=HyesW2C9YQ\n",
      "['Hannah Rashkin', 'Eric Michael Smith', 'Margaret Li', 'Y-Lan Boureau'] ['gmail.com', 'cs.washington.edu', 'fb.com']\n",
      "1113 https://openreview.net/forum?id=S1xzyhR9Y7\n",
      "['Shuai Tang', 'Virginia R. de Sa'] ['ucsd.edu']\n",
      "1114 https://openreview.net/forum?id=B1x-LjAcKX\n",
      "['Hojung Lee', 'Jong-Seok Lee'] ['yonsei.ac.kr']\n",
      "1115 https://openreview.net/forum?id=rklQas09tm\n",
      "['Mo Yu', 'Shiyu Chang', 'Tommi S Jaakkola'] ['ibm.com', 'csail.mit.edu', 'us.ibm.com']\n",
      "1116 https://openreview.net/forum?id=SJxfxnA9K7\n"
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      "['Faisal Mahmood', 'Wenhao Xu', 'Nicholas J. Durr', 'Jeremiah W. Johnson', 'Alan Yuille'] ['gmail.com', 'unh.edu', 'jhu.edu']\n",
      "1117 https://openreview.net/forum?id=S1x8WnA5Ym\n",
      "['Mohamed Elfeki', 'Camille Couprie', 'Mohamed Elhoseiny'] ['gmail.com', 'fb.com']\n",
      "1118 https://openreview.net/forum?id=B1l8iiA9tQ\n",
      "['Siavash Golkar', 'Kyle Cranmer'] ['gmail.com', 'nyu.edu']\n",
      "1119 https://openreview.net/forum?id=H1MzKs05F7\n",
      "['Carl-Johann Simon-Gabriel', 'Yann Ollivier', 'Léon Bottou', 'Bernhard Schölkopf', 'David Lopez-Paz'] ['bottou.org', 'tuebingen.mpg.de', 'fb.com']\n",
      "1120 https://openreview.net/forum?id=SyzVb3CcFX\n",
      "['Dinesh Jayaraman', 'Frederik Ebert', 'Alexei Efros', 'Sergey Levine'] ['eecs.berkeley.edu', 'berkeley.edu']\n",
      "1121 https://openreview.net/forum?id=BkeU5j0ctQ\n",
      "['Pourchot', 'Sigaud'] ['telecom-paristech.fr', 'upmc.fr']\n",
      "1122 https://openreview.net/forum?id=SygQvs0cFQ\n",
      "['Lingpeng Kong', 'Gabor Melis', 'Wang Ling', 'Lei Yu', 'Dani Yogatama'] ['cs.cmu.edu', 'google.com']\n",
      "1123 https://openreview.net/forum?id=ryeNPi0qKX\n",
      "['Kelly W. Zhang', 'Samuel R. Bowman'] ['seas.harvard.edu', 'nyu.edu']\n",
      "1124 https://openreview.net/forum?id=rke_YiRct7\n",
      "['Chulhee Yun', 'Suvrit Sra', 'Ali Jadbabaie'] ['mit.edu']\n",
      "1125 https://openreview.net/forum?id=rygjcsR9Y7\n",
      "['Vincent Fortuin', 'Matthias Hüser', 'Francesco Locatello', 'Heiko Strathmann', 'Gunnar Rätsch'] ['inf.ethz.ch', 'gmail.com']\n",
      "1126 https://openreview.net/forum?id=rkxwShA9Ym\n",
      "['Kolya Malkin', 'Caleb Robinson', 'Le Hou', 'Rachel Soobitsky', 'Jacob Czawlytko', 'Dimitris Samaras', 'Joel Saltz', 'Lucas Joppa', 'Nebojsa Jojic'] ['hotmail.com', 'stonybrookmedicine.edu', 'microsoft.com', 'cs.stonybrook.edu', 'stonybrook.edu', 'chesapeakeconservancy.org', 'gatech.edu']\n",
      "1127 https://openreview.net/forum?id=HJehSnCcFX\n",
      "['Hongyuan Mei', 'Guanghui Qin', 'Jason Eisner'] ['cs.jhu.edu', 'pku.edu.cn']\n",
      "1128 https://openreview.net/forum?id=Bylnx209YX\n",
      "['Daniel Zügner', 'Stephan Günnemann'] ['in.tum.de']\n",
      "1129 https://openreview.net/forum?id=B1xFxh0cKX\n",
      "['Niru Maheswaranathan', 'Luke Metz', 'George Tucker', 'Dami Choi', 'Jascha Sohl-Dickstein'] ['google.com']\n",
      "1130 https://openreview.net/forum?id=r1gOe209t7\n",
      "['Kun Wan', 'Boyuan Feng', 'Lingwei Xie', 'Yufei Ding'] ['stu.xmu.edu.cn', 'cs.ucsb.edu']\n",
      "1131 https://openreview.net/forum?id=S1gOpsCctm\n",
      "['Anurag Koul', 'Alan Fern', 'Sam Greydanus'] ['oregonstate.edu', 'google.com']\n",
      "1132 https://openreview.net/forum?id=SkNksoRctQ\n",
      "['Sho Yaida'] ['fb.com']\n",
      "1133 https://openreview.net/forum?id=r1exVhActQ\n",
      "['Chih-Kuan Yeh', 'Ian E.H. Yen', 'Hong-You Chen', 'Chun-Pei Yang', 'Shou-De Lin', 'Pradeep Ravikumar'] ['snapchat.com', 'gmail.com', 'cs.cmu.edu', 'csie.ntu.edu.tw']\n",
      "1134 https://openreview.net/forum?id=BJgqqsAct7\n",
      "['Wenda Zhou', 'Victor Veitch', 'Morgane Austern', 'Ryan P. Adams', 'Peter Orbanz'] ['columbia.edu', 'gmail.com', 'princeton.edu', 'stat.columbia.edu']\n",
      "1135 https://openreview.net/forum?id=ByfyHh05tQ\n",
      "['Frederic Runge', 'Danny Stoll', 'Stefan Falkner', 'Frank Hutter'] ['tutanota.com', 'cs.uni-freiburg.de']\n",
      "1136 https://openreview.net/forum?id=SylLYsCcFm\n",
      "['Felix Hill', 'Adam Santoro', 'David Barrett', 'Ari Morcos', 'Timothy Lillicrap'] ['google.com']\n",
      "1137 https://openreview.net/forum?id=H1z_Z2A5tX\n",
      "['Doron Haviv', 'Alexander Rivkind', 'Omri Barak'] ['gmail.com']\n",
      "1138 https://openreview.net/forum?id=B1gstsCqt7\n",
      "['Tsung-Han Lin', 'Ping Tak Peter Tang'] ['intel.com']\n",
      "1139 https://openreview.net/forum?id=SyNvti09KQ\n",
      "['Daniel McDuff', 'Ashish Kapoor'] ['microsoft.com']\n",
      "1140 https://openreview.net/forum?id=Byg54oC5tQ\n",
      "['MinCong Luo', 'Li Liu'] ['foxmail.com', 'qq.com']\n",
      "1141 https://openreview.net/forum?id=SkloDjAqYm\n",
      "['Elke Kirschbaum', 'Manuel Haußmann', 'Steffen Wolf', 'Hannah Sonntag', 'Justus Schneider', 'Shehabeldin Elzoheiry', 'Oliver Kann', 'Daniel Durstewitz', 'Fred A Hamprecht'] ['mpimf-heidelberg.mpg.de', 'zi-mannheim.de', 'physiologie.uni-heidelberg.de', 'iwr.uni-heidelberg.de']\n",
      "1142 https://openreview.net/forum?id=rye7knCqK7\n",
      "['Amanpreet Singh', 'Tushar Jain', 'Sainbayar Sukhbaatar'] ['cs.nyu.edu', 'nyu.edu']\n",
      "1143 https://openreview.net/forum?id=SJf6BhAqK7\n",
      "['Kelsey R Allen', 'Hanul Shin', 'Evan Shelhamer', 'Josh B. Tenenbaum'] ['cs.berkeley.edu', 'mit.edu']\n",
      "1144 https://openreview.net/forum?id=ByxZX20qFQ\n",
      "['Alexei Baevski', 'Michael Auli'] ['gmail.com']\n",
      "1145 https://openreview.net/forum?id=H1g0piA9tQ\n",
      "['Ian Goodfellow', 'Yao Qin', 'David Berthelot'] ['google.com']\n",
      "1146 https://openreview.net/forum?id=Bkf1tjR9KQ\n",
      "['Guillaume Michel', 'Mohammed Amine Alaoui', 'Alice Lebois', 'Amal Feriani', 'Mehdi Felhi'] ['netatmo.com']\n",
      "1147 https://openreview.net/forum?id=r1eiqi09K7\n",
      "['Gary Becigneul', 'Octavian-Eugen Ganea'] ['inf.ethz.ch']\n",
      "1148 https://openreview.net/forum?id=B1xWcj0qYm\n",
      "['Nan Lu', 'Gang Niu', 'Aditya Krishna Menon', 'Masashi Sugiyama'] ['k.u-tokyo.ac.jp', 'ms.k.u-tokyo.ac.jp', 'riken.jp', 'google.com']\n",
      "1149 https://openreview.net/forum?id=rklaWn0qK7\n",
      "['Jun-Ting Hsieh', 'Shengjia Zhao', 'Stephan Eismann', 'Lucia Mirabella', 'Stefano Ermon'] ['siemens.com', 'cs.stanford.edu', 'stanford.edu']\n",
      "1150 https://openreview.net/forum?id=SJg7IsC5KQ\n",
      "['Yongqiang Cai', 'Qianxiao Li', 'Zuowei Shen'] ['ihpc.a-star.edu.sg', 'nus.edu.sg']\n",
      "1151 https://openreview.net/forum?id=HyxGB2AcY7\n",
      "['Jongwook Choi', 'Yijie Guo', 'Marcin Moczulski', 'Junhyuk Oh', 'Neal Wu', 'Mohammad Norouzi', 'Honglak Lee'] ['umich.edu', 'google.com', 'eecs.umich.edu', 'nealwu.com', 'gmail.com']\n",
      "1152 https://openreview.net/forum?id=H1g0Z3A9Fm\n",
      "['Zhengdao Chen', 'Lisha Li', 'Joan Bruna'] ['gmail.com', 'cims.nyu.edu', 'nyu.edu']\n",
      "1153 https://openreview.net/forum?id=BygfghAcYX\n",
      "['Behnam Neyshabur', 'Zhiyuan Li', 'Srinadh Bhojanapalli', 'Yann LeCun', 'Nathan Srebro'] ['cs.princeton.edu', 'gmail.com', 'cs.nyu.edu', 'ttic.edu']\n",
      "1154 https://openreview.net/forum?id=SylCrnCcFX\n",
      "['Guang-He Lee', 'David Alvarez-Melis', 'Tommi S. Jaakkola'] ['csail.mit.edu']\n",
      "1155 https://openreview.net/forum?id=r1GgDj0cKX\n",
      "['Yanwei Fu', 'Shun Zhang', 'Donghao Li', 'Xinwei Sun', 'Xiangyang Xue', 'Yuan Yao'] ['pku.edu.cn', 'ust.hk', 'fudan.edu.cn']\n",
      "1156 https://openreview.net/forum?id=rk4Qso0cKm\n",
      "['Xuanqing Liu', 'Yao Li', 'Chongruo Wu', 'Cho-Jui Hsieh'] ['ucdavis.edu', 'cs.ucla.edu']\n",
      "1157 https://openreview.net/forum?id=r1xwS3RqKQ\n",
      "['MohamadAli Torkamani', 'Phillip Wallis'] ['gmail.com']\n",
      "1158 https://openreview.net/forum?id=BkxWJnC9tX\n",
      "['Prajit Ramachandran', 'Quoc V. Le'] ['gmail.com', 'google.com']\n",
      "1159 https://openreview.net/forum?id=SyezvsC5tX\n",
      "['Y. Cooper'] ['math.ias.edu']\n",
      "1160 https://openreview.net/forum?id=rylV-2C9KQ\n",
      "['Reinhard Heckel', 'Paul Hand'] ['rice.edu', 'northeastern.edu']\n",
      "1161 https://openreview.net/forum?id=HkM3vjCcF7\n",
      "['Chunsheng Guo', 'Wenlong Du', 'Na Ying'] ['gmail.com', 'hdu.edu.cn']\n",
      "1162 https://openreview.net/forum?id=SJzYdsAqY7\n",
      "['Jiecao Yu', 'Jongsoo Park', 'Maxim Naumov'] ['umich.edu', 'fb.com']\n",
      "1163 https://openreview.net/forum?id=HkxAisC9FQ\n",
      "['Chris Finlay', 'Adam M. Oberman', 'Bilal Abbasi'] ['mcgill.ca', 'mail.mcgill.ca']\n",
      "1164 https://openreview.net/forum?id=SJg6nj09F7\n",
      "['Yu Wang', 'Jack W. Stokes', 'Mady Marinescu'] ['microsoft.com', 'yale.edu']\n",
      "1165 https://openreview.net/forum?id=r1gNni0qtm\n",
      "['Valentin Khrulkov', 'Oleksii Hrinchuk', 'Ivan Oseledets'] ['gmail.com', 'skoltech.ru']\n",
      "1166 https://openreview.net/forum?id=BJll6o09tm\n",
      "['Jinghui Chen', 'Quanquan Gu'] ['virginia.edu', 'cs.ucla.edu']\n",
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      "['Xun Wang', 'Xintong Han', 'Weilin Huang'] ['malong.com']\n",
      "1168 https://openreview.net/forum?id=SkGtjjR5t7\n",
      "['Mayank Bansal', 'Alex Krizhevsky', 'Abhijit Ogale'] ['waymo.com', 'gmail.com']\n",
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      "['Wenhu Chen', 'Yilin Shen', 'William Wang', 'Hongxia Jin'] ['ucsb.edu', 'samsung.com', 'cs.ucsb.edu']\n",
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      "['Vighnesh Leonardo Shiv', 'Chris Quirk'] ['microsoft.com']\n",
      "1171 https://openreview.net/forum?id=Skh4jRcKQ\n",
      "['Penghang Yin', 'Jiancheng Lyu', 'Shuai Zhang', 'Stanley Osher', 'Yingyong Qi', 'Jack Xin'] ['qti.qualcomm.com', 'math.ucla.edu', 'ucla.edu', 'uci.edu', 'math.uci.edu']\n",
      "1172 https://openreview.net/forum?id=Hygxb2CqKm\n",
      "['John Miller', 'Moritz Hardt'] ['berkeley.edu']\n",
      "1173 https://openreview.net/forum?id=BJxh2j0qYm\n",
      "['Xitong Gao', 'Yiren Zhao', 'Łukasz Dudziak', 'Robert Mullins', 'Cheng-zhong Xu'] ['um.edu.mo', 'siat.ac.cn', 'cam.ac.uk', 'cl.cam.ac.uk', 'gmail.com']\n",
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      "1175 https://openreview.net/forum?id=rkMk9j0qYm\n",
      "['Priyadarshini Panda', 'Kaushik Roy'] ['purdue.edu']\n",
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      "['Jiarui Fang', 'Cho-Jui Hsieh'] ['163.com', 'gmail.com']\n",
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      "['Agustinus Kristiadi', 'Asja Fischer'] ['gmail.com', 'protonmail.com']\n",
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      "['Florent CHIARONI. Mohamed-Cherif RAHAL. Nicolas HUEBER. Frédéric DUFAUX.'] ['vedecom.fr']\n",
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      "['Yunhan Zhao', 'Ye Tian', 'Wei Shen', 'Alan Yuille'] ['gmail.com', 'outlook.com', 'jhu.edu']\n",
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      "['Ali Mousavi', 'Gautam Dasarathy', 'Richard G. Baraniuk'] ['asu.edu', 'gmail.com', 'rice.edu']\n",
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      "['Honghua Dong', 'Jiayuan Mao', 'Xinyue Cui', 'Lihong Li'] ['gmail.com']\n",
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      "['Shulong Tan', 'Zhixin Zhou', 'Zhaozhuo Xu', 'Ping Li'] ['gmail.com']\n",
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      "['Yu Li', 'Zhongxiao Li', 'Lizhong Ding', 'Yijie Pan', 'Chao Huang', 'Yuhui Hu', 'Wei Chen', 'Xin Gao'] ['nbicc.com', 'kaust.edu.sa', 'sustc.edu.cn', 'inceptioniai.org', 'ict.ac.cn']\n",
      "1194 https://openreview.net/forum?id=SkguE30ct7\n",
      "['Xinshi Chen', 'Shuang Li', 'Hui Li', 'Shaohua Jiang', 'Le Song'] ['alipay.com', 'alibaba-inc.com', 'cc.gatech.edu', 'gatech.edu']\n",
      "1195 https://openreview.net/forum?id=SkzeJ3A9F7\n",
      "['Deepak Pathak', 'Dhiraj Gandhi', 'Abhinav Gupta'] ['andrew.cmu.edu', 'cs.cmu.edu', 'berkeley.edu']\n",
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      "['Luca de Alfaro'] ['ucsc.edu']\n",
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      "['Shuai Li', 'Kui Jia'] ['gmail.com', 'scut.edu.cn']\n",
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      "['Lu Hou', 'Ruiliang Zhang', 'James T. Kwok'] ['tusimple.ai', 'cse.ust.hk']\n",
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      "['Shen-Huan Lv', 'Lu Wang', 'Zhi-Hua Zhou'] ['lamda.nju.edu.cn']\n",
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      "['Charlie Frogner', 'Farzaneh Mirzazadeh', 'Justin Solomon'] ['ibm.com', 'mit.edu']\n",
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      "['Huan Zhang*', 'Hongge Chen*', 'Zhao Song', 'Duane Boning', 'Inderjit S. Dhillon', 'Cho-Jui Hsieh'] ['cs.utexas.edu', 'mtl.mit.edu', 'utexas.edu', 'huan-zhang.com', 'mit.edu', 'cs.ucla.edu']\n",
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      "['Eliav Buchnik', 'Edith Cohen'] ['gmail.com', 'cohenwang.com']\n",
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      "['Huan Zhang', 'Hai Zhao'] ['gmail.com', 'cs.sjtu.edu.cn']\n",
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      "['Sanghyun Hong', 'Mahmoud Mohammadi', 'Noseong Park'] ['uncc.edu', 'gmu.edu', 'cs.umd.edu']\n",
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      "['Tianmin Shu', 'Yuandong Tian'] ['ucla.edu', 'fb.com']\n",
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      "['Ying Ma', 'Jose Principe'] ['gmail.com', 'cnel.ufl.edu']\n",
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      "['Chang Li'] ['neatware.com']\n",
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      "['Yi Chen', 'Jinglin Chen', 'Jing Dong', 'Jian Peng', 'Zhaoran Wang'] ['columbia.edu', 'gmail.com', 'u.northwestern.edu', 'illinois.edu']\n",
      "1256 https://openreview.net/forum?id=BkgBvsC9FQ\n",
      "['Xiaodong Gu', 'Kyunghyun Cho', 'Jung-Woo Ha', 'Sunghun Kim'] ['cse.ust.hk', 'nyu.edu', 'navercorp.com', '126.com']\n",
      "1257 https://openreview.net/forum?id=HyldojC9t7\n",
      "['Lingfei Wu', 'Ian E.H. Yen', 'Fangli Xu', 'Pradeep Ravikumar', 'Michael J. Witbrock'] ['us.ibm.com', 'cs.cmu.edu', 'email.wm.edu']\n",
      "1258 https://openreview.net/forum?id=B1zMDjAqKQ\n",
      "['Pablo Barros', 'German I. Parisi', 'Manfred Eppe', 'Stefan Wermter'] ['informatik.uni-hamburg.de']\n",
      "1259 https://openreview.net/forum?id=r1g1LoAcFm\n",
      "['Ethan Steinberg', 'Peter J. Liu'] ['gmail.com', 'google.com']\n",
      "1260 https://openreview.net/forum?id=BJepX2A9tX\n",
      "['Benjamin Chidester', 'Minh N. Do', 'Jian Ma'] ['andrew.cmu.edu', 'cs.cmu.edu', 'illinois.edu']\n",
      "1261 https://openreview.net/forum?id=HkGSniC9FQ\n",
      "['Ming-Chuan Yang', 'Meng Chang Chen'] ['iis.sinica.edu.tw']\n",
      "1262 https://openreview.net/forum?id=H1gfOiAqYm\n",
      "['Xinyun Chen', 'Chang Liu', 'Dawn Song'] ['gmail.com', 'eecs.berkeley.edu', 'berkeley.edu']\n",
      "1263 https://openreview.net/forum?id=r1zOg309tX\n",
      "['Zhiming Zhou', 'Yuxuan Song', 'Lantao Yu', 'Hongwei Wang', 'Weinan Zhang', 'Zhihua Zhang', 'Yong Yu'] ['math.pku.edu.cn', 'gmail.com', 'apex.sjtu.edu.cn', 'sjtu.edu.cn']\n",
      "1264 https://openreview.net/forum?id=H1x3SnAcYQ\n",
      "['Jingkai Mao', 'Jakob Foerster', 'Tim Rocktäschel', 'Gregory Farquhar', 'Maruan Al-Shedivat', 'Shimon Whiteson'] ['gmail.com', 'cs.ox.ac.uk', 'cs.cmu.edu']\n",
      "1265 https://openreview.net/forum?id=S1g2JnRcFX\n",
      "['Sebastian U. Stich'] ['epfl.ch']\n",
      "1266 https://openreview.net/forum?id=S1xiOjC9F7\n",
      "['Yujia Li', 'Chenjie Gu', 'Thomas Dullien', 'Oriol Vinyals', 'Pushmeet Kohli'] ['google.com']\n",
      "1267 https://openreview.net/forum?id=HyxlHsActm\n",
      "['Dar Gilboa', 'Sam Buchanan', 'John Wright'] ['columbia.edu']\n",
      "1268 https://openreview.net/forum?id=HJeRm3Aqt7\n",
      "['Anton Bakhtin', 'Arthur Szlam', \"Marc'Aurelio Ranzato\"] ['fb.com']\n",
      "1269 https://openreview.net/forum?id=ryxhB3CcK7\n",
      "['Ramakrishna Vedantam', 'Stefan Lee', 'Marcus Rohrbach', 'Dhruv Batra', 'Devi Parikh'] ['gmail.com', 'gatech.edu']\n",
      "1270 https://openreview.net/forum?id=ryemosC9tm\n",
      "['Pengzhi Huang', 'Emre Gonultas', 'Said Medjkouh', 'Oscar Castaneda', 'Olav Tirkkonen', 'Tom Goldstein', 'Christoph Studer'] ['aalto.fi', 'cornell.edu', 'cs.umd.edu']\n",
      "1271 https://openreview.net/forum?id=rygk9oA9Ym\n",
      "['Nilesh Kulkarni', 'Ishan Misra', 'Shubham Tulsiani', 'Abhinav Gupta'] ['cs.cmu.edu', 'cmu.edu', 'fb.com']\n",
      "1272 https://openreview.net/forum?id=Hkg4W2AcFm\n",
      "['José Lezama'] ['fing.edu.uy']\n",
      "1273 https://openreview.net/forum?id=HklJV3A9Ym\n",
      "['Tomáš Pevný', 'Vojtěch Kovařík'] ['gmail.com']\n",
      "1274 https://openreview.net/forum?id=SJl8J30qFX\n",
      "['Sarah Tan', 'Rich Caruana', 'Giles Hooker', 'Paul Koch', 'Albert Gordo'] ['gmail.com', 'microsoft.com', 'cornell.edu']\n",
      "1275 https://openreview.net/forum?id=H1z-PsR5KX\n",
      "['Anthony Bau', 'Yonatan Belinkov', 'Hassan Sajjad', 'Nadir Durrani', 'Fahim Dalvi', 'James Glass'] ['hbku.edu.qa', 'qf.org.qa', 'mit.edu']\n",
      "1276 https://openreview.net/forum?id=SyVpB2RqFX\n",
      "['Dejiao Zhang', 'Tianchen Zhao', 'Laura Balzano'] ['umich.edu']\n",
      "1277 https://openreview.net/forum?id=ByldlhAqYQ\n",
      "['Wanyun Cui', 'Guangyu Zheng', 'Zhiqiang Shen', 'Sihang Jiang', 'Wei Wang'] ['illinois.edu', 'fudan.edu.cn', 'sufe.edu.cn', 'gmail.com', 'outlook.com']\n",
      "1278 https://openreview.net/forum?id=HJgOl3AqY7\n",
      "['Adrien Bitton', 'Philippe Esling', 'Axel Chemla-Romeu-Santos'] ['ircam.fr']\n",
      "1279 https://openreview.net/forum?id=BJe8niAqKX\n",
      "['Patrick Bordes', 'Eloi Zablocki', 'Laure Soulier', 'Benjamin Piwowarski', 'Patrick Gallinari'] ['gmail.com', 'lip6.fr']\n",
      "1280 https://openreview.net/forum?id=SJg013C5KX\n",
      "['Ziliang Chen', 'Keze Wang', 'Liang Lin'] ['yahoo.com', 'gmail.com', 'ieee.org']\n",
      "1281 https://openreview.net/forum?id=Skz3Q2CcFX\n",
      "['Piero Molino', 'Yang Wang', 'Jiawei Zhang'] ['gmail.com', 'uber.com']\n",
      "1282 https://openreview.net/forum?id=BkgFqiAqFX\n",
      "['Surbhi Goel', 'Rina Panigrahy'] ['cs.utexas.edu', 'google.com']\n",
      "1283 https://openreview.net/forum?id=HyGh4sR9YQ\n",
      "['Felipe Petroski Such', 'Vashisht Madhavan', 'Edoardo Conti', 'Joel Lehman', 'Kenneth O. Stanley', 'Jeff Clune'] ['uber.com']\n",
      "1284 https://openreview.net/forum?id=ByxF-nAqYX\n",
      "['Guillaume DOQUET', 'Michèle SEBAG'] ['lri.fr']\n",
      "1285 https://openreview.net/forum?id=ryGvcoA5YX\n",
      "['Wenpeng Hu', 'Zhou Lin', 'Bing Liu', 'Chongyang Tao', 'Zhengwei Tao', 'Jinwen Ma', 'Dongyan Zhao', 'Rui Yan'] ['math.pku.edu.cn', 'uic.edu', 'pku.edu.cn']\n",
      "1286 https://openreview.net/forum?id=ryeYHi0ctQ\n",
      "['Sunghoon Im', 'Hae-Gon Jeon', 'Stephen Lin', 'In So Kweon'] ['andrew.cmu.edu', 'kaist.ac.kr', 'microsoft.com']\n",
      "1287 https://openreview.net/forum?id=S1xoy3CcYX\n",
      "['Nicolas Ford', 'Justin Gilmer', 'Ekin D. Cubuk'] ['google.com']\n",
      "1288 https://openreview.net/forum?id=S1MAriC5F7\n",
      "['Liam Li', 'Kevin Jamieson', 'Afshin Rostamizadeh', 'Ekaterina Gonina', 'Moritz Hardt', 'Ben Recht'] ['cmu.edu', 'cs.washington.edu', 'berkeley.edu', 'google.com']\n",
      "1289 https://openreview.net/forum?id=SkMQg3C5K7\n",
      "['Sanjeev Arora', 'Nadav Cohen', 'Noah Golowich', 'Wei Hu'] ['ias.edu', 'cs.princeton.edu', 'college.harvard.edu']\n",
      "1290 https://openreview.net/forum?id=B1l6qiR5F7\n"
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      "1291 https://openreview.net/forum?id=SJl11nCctX\n",
      "['Yogesh Balaji', 'Martin Renqiang Min', 'Bing Bai', 'Rama Chellappa', 'Hans Peter Graf'] ['nec-labs.com', 'cs.umd.edu', 'umiacs.umd.edu']\n",
      "1292 https://openreview.net/forum?id=r1MmH30cY7\n",
      "['NA'] ['na.edu']\n",
      "1293 https://openreview.net/forum?id=H1xmqiAqFm\n",
      "['Ryuichiro Hataya', 'Hideki Nakayama'] ['nlab.ci.i.u-tokyo.aco.jp', 'nlab.ci.i.u-tokyo.ac.jp']\n",
      "1294 https://openreview.net/forum?id=rJlpUiAcYX\n",
      "['Lukas Balles', 'Thomas Fischbacher'] ['tuebingen.mpg.de', 'google.com']\n",
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      "['Jerry Ma', 'Denis Yarats'] ['fb.com']\n",
      "1296 https://openreview.net/forum?id=H1l-SjA5t7\n",
      "['Nat Dilokthanakul', 'Nick Pawlowski', 'Murray Shanahan'] ['imperial.ac.uk']\n",
      "1297 https://openreview.net/forum?id=ByghKiC5YX\n",
      "['Puyudi Yang', 'Jianbo Chen', 'Cho-Jui Hsieh', 'Jane-Ling Wang', 'Michael I. Jordan'] ['cs.berkeley.edu', 'ucdavis.edu', 'berkeley.edu']\n",
      "1298 https://openreview.net/forum?id=H1fevoAcKX\n",
      "['Ke Xu', 'Xiaoyun Wang', 'Qun Jia', 'Jianjing An', 'Dong Wang'] ['bjtu.edu.cn']\n",
      "1299 https://openreview.net/forum?id=rkgwuiA9F7\n",
      "['Jacek Tabor', 'Szymon Knop', 'Przemysław Spurek', 'Igor Podolak', 'Marcin Mazur', 'Stanisław Jastrzębski'] ['doctoral.uj.edu.pl', 'gmail.com', 'uj.edu.pl']\n",
      "1300 https://openreview.net/forum?id=rJx_b3RqY7\n",
      "['Hanbo Li', 'Yaqing Wang', 'Changyou Chen', 'Jing Gao'] ['gmail.com', 'buffalo.edu']\n",
      "1301 https://openreview.net/forum?id=H1eqviAqYX\n",
      "['Bowen Wu', 'Nan Jiang', 'Zhifeng Gao', 'Zongsheng Wang', 'Suke Li', 'Wenge Rong', 'Baoxun Wang'] ['yahoo.com', 'pku.edu.cn', 'buaa.edu.cn', 'ss.pku.edu.cn', 'gmail.com']\n",
      "1302 https://openreview.net/forum?id=HyxpNnRcFX\n",
      "['Erin Grant', 'Ghassen Jerfel', 'Katherine Heller', 'Thomas L. Griffiths'] ['stat.duke.edu', 'princeton.edu', 'duke.edu', 'berkeley.edu']\n",
      "1303 https://openreview.net/forum?id=SJzSgnRcKX\n",
      "['Ian Tenney', 'Patrick Xia', 'Berlin Chen', 'Alex Wang', 'Adam Poliak', 'R Thomas McCoy', 'Najoung Kim', 'Benjamin Van Durme', 'Samuel R. Bowman', 'Dipanjan Das', 'Ellie Pavlick'] ['nyu.edu', 'brown.edu', 'swarthmore.edu', 'google.com', 'jhu.edu', 'cs.jhu.edu']\n",
      "1304 https://openreview.net/forum?id=S1giVsRcYm\n",
      "['Marlos C. Machado', 'Marc G. Bellemare', 'Michael Bowling'] ['ualberta.ca', 'google.com']\n",
      "1305 https://openreview.net/forum?id=ByeNFoRcK7\n",
      "['Dan Zhang', 'Anna Khoreva'] ['de.bosch.com']\n",
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      "['Avraham Ruderman', 'Richard Everett', 'Bristy Sikder', 'Hubert Soyer', 'Jonathan Uesato', 'Ananya Kumar', 'Charlie Beattie', 'Pushmeet Kohli'] ['gmail.com', 'google.com']\n",
      "1307 https://openreview.net/forum?id=S14h9sCqYm\n",
      "['Meng Qu', 'Jian Tang', 'Yoshua Bengio'] ['gmail.com', 'mila.quebec']\n",
      "1308 https://openreview.net/forum?id=S1lIMn05F7\n",
      "['Huaxia Wang', 'Chun-Nam Yu'] ['stevens.edu', 'cs.cornell.edu']\n",
      "1309 https://openreview.net/forum?id=Hkf2_sC5FX\n",
      "['Arslan Chaudhry', 'Marc’Aurelio Ranzato', 'Marcus Rohrbach', 'Mohamed Elhoseiny'] ['eng.ox.ac.uk', 'fb.com']\n",
      "1310 https://openreview.net/forum?id=SygK6sA5tX\n",
      "['Feng Gao', 'Guy Wolf', 'Matthew Hirn'] ['yale.edu', 'msu.edu']\n",
      "1311 https://openreview.net/forum?id=SyxAb30cY7\n",
      "['Dimitris Tsipras', 'Shibani Santurkar', 'Logan Engstrom', 'Alexander Turner', 'Aleksander Madry'] ['mit.edu']\n",
      "1312 https://openreview.net/forum?id=BkE8NjCqYm\n",
      "['Eldan Cohen', 'J. Christopher Beck'] ['mie.utoronto.ca']\n",
      "1313 https://openreview.net/forum?id=ryekdoCqF7\n",
      "['Qi Tan', 'Pingzhong Tang', 'Ke Xu', 'Weiran Shen', 'Song Zuo'] ['gmail.com', 'tsinghua.edu.cn']\n",
      "1314 https://openreview.net/forum?id=rJEGwo0cFX\n",
      "['Sandro Cavallari', 'Vincent W Zheng', 'Hongyun Cai', 'Erik Cambria'] ['adsc.com.sg', 'ntu.edu.sg', 'e.ntu.edu.sg', 'adsc-create.edu.sg']\n",
      "1315 https://openreview.net/forum?id=SJxzPsAqFQ\n",
      "['Oluwatobi O. Olabiyi', 'Alan Salimov', 'Anish Khazane', 'Erik T. Mueller'] ['capitalone.com']\n",
      "1316 https://openreview.net/forum?id=r14EOsCqKX\n",
      "['Akhilesh Gotmare', 'Nitish Shirish Keskar', 'Caiming Xiong', 'Richard Socher'] ['salesforce.com', 'epfl.ch']\n",
      "1317 https://openreview.net/forum?id=ryGkSo0qYm\n",
      "['Vassilis Kalofolias', 'Nathanaël Perraudin'] ['gmail.com', 'sdsc.ethz.ch']\n",
      "1318 https://openreview.net/forum?id=ryxnHhRqFm\n",
      "['Chien-Sheng Wu', 'Richard Socher', 'Caiming Xiong'] ['salesforce.com', 'connect.ust.hk']\n",
      "1319 https://openreview.net/forum?id=rkgd0iA9FQ\n",
      "['Soham De', 'Anirbit Mukherjee', 'Enayat Ullah'] ['cs.umd.edu', 'jhu.edu']\n",
      "1320 https://openreview.net/forum?id=BkMq0oRqFQ\n",
      "['Yi Liu'] ['gmail.com']\n",
      "1321 https://openreview.net/forum?id=HylzTiC5Km\n",
      "['Jacob Menick', 'Nal Kalchbrenner'] ['google.com']\n",
      "1322 https://openreview.net/forum?id=HkxLXnAcFQ\n",
      "['Wei-Yu Chen', 'Yen-Cheng Liu', 'Zsolt Kira', 'Yu-Chiang Frank Wang', 'Jia-Bin Huang'] ['andrew.cmu.edu', 'ntu.edu.tw', 'vt.edu', 'gatech.edu']\n",
      "1323 https://openreview.net/forum?id=Hygp1nR9FQ\n",
      "['Neale Ratzlaff', 'Li Fuxin'] ['oregonstate.edu']\n",
      "1324 https://openreview.net/forum?id=H1Gfx3Rqtm\n",
      "['Yuning Mao', 'Jingjing Tian', 'Jiawei Han', 'Xiang Ren'] ['usc.edu', 'pku.edu.cn', 'illinois.edu']\n",
      "1325 https://openreview.net/forum?id=rkgT3jRct7\n",
      "['Sang-Woo Lee', 'Tong Gao', 'Sohee Yang', 'Jaejun Yoo', 'Jung-Woo Ha'] ['navercorp.com']\n",
      "1326 https://openreview.net/forum?id=rkglvsC9Ym\n",
      "['Pengfei Chen', 'Guangyong Chen', 'Shengyu Zhang'] ['gmail.com', 'tencent.com']\n",
      "1327 https://openreview.net/forum?id=Bkx_Dj09tQ\n",
      "['Jumpei Ukita'] ['gmail.com']\n",
      "1328 https://openreview.net/forum?id=Hyls7h05FQ\n",
      "['Fenfei Guo', 'Mohit Iyyer', 'Leah Findlater', 'Jordan Boyd-Graber'] ['umiacs.umd.edu', 'uw.edu', 'cs.umd.edu', 'cs.umass.edu']\n",
      "1329 https://openreview.net/forum?id=SJeT_oRcY7\n",
      "['Bernd Illing', 'Wulfram Gerstner', 'Johanni Brea'] ['epfl.ch']\n",
      "1330 https://openreview.net/forum?id=H1gKYo09tX\n",
      "['Uri Alon', 'Shaked Brody', 'Omer Levy', 'Eran Yahav'] ['gmail.com', 'cs.technion.ac.il']\n",
      "1331 https://openreview.net/forum?id=B1xJAsA5F7\n",
      "['Wengong Jin', 'Kevin Yang', 'Regina Barzilay', 'Tommi Jaakkola'] ['csail.mit.edu', 'mit.edu']\n",
      "1332 https://openreview.net/forum?id=SyxvSiCcFQ\n",
      "['Abdulah Fawaz', 'Sebastien Piat', 'Paul Klein', 'Peter Mountney', 'Simone Severini'] ['siemens-healthineers.com', 'ucl.ac.uk']\n",
      "1333 https://openreview.net/forum?id=rygunsAqYQ\n",
      "['Ke Li', 'Jitendra Malik'] ['eecs.berkeley.edu']\n",
      "1334 https://openreview.net/forum?id=Hke20iA9Y7\n",
      "['Walid Krichene', 'Nicolas Mayoraz', 'Steffen Rendle', 'Li Zhang', 'Xinyang Yi', 'Lichan Hong', 'Ed Chi', 'John Anderson'] ['google.com']\n",
      "1335 https://openreview.net/forum?id=r1l3NiCqY7\n",
      "['Adam M. Oberman', 'Jeff Calder'] ['mcgill.ca', 'umn.edu']\n",
      "1336 https://openreview.net/forum?id=SJl98sR5tX\n",
      "['Tianmin Shu', 'Caiming Xiong', 'Ying Nian Wu', 'Song-Chun Zhu'] ['ucla.edu', 'salesforce.com', 'stat.ucla.edu']\n",
      "1337 https://openreview.net/forum?id=B1x5KiCcFX\n",
      "['Masaaki Imaizumi', 'Kenji Fukumizu'] ['ism.ac.jp', 'hotmail.com']\n",
      "1338 https://openreview.net/forum?id=B1xFhiC9Y7\n",
      "['Yi-Hsuan Tsai', 'Kihyuk Sohn', 'Samuel Schulter', 'Manmohan Chandraker'] ['nec-labs.com', 'gmail.com']\n",
      "1339 https://openreview.net/forum?id=rkxaNjA9Ym\n",
      "['Charbel Sakr', 'Naresh Shanbhag'] ['illinois.edu']\n",
      "1340 https://openreview.net/forum?id=Syl7OsRqY7\n",
      "['Victor Zhong', 'Caiming Xiong', 'Nitish Shirish Keskar', 'Richard Socher'] ['salesforce.com', 'socher.org', 'victorzhong.com']\n",
      "1341 https://openreview.net/forum?id=HJe3TsR5K7\n",
      "['Jiezhang Cao', 'Yong Guo', 'Langyuan Mo', 'Peilin Zhao', 'Junzhou Huang', 'Mingkui Tan'] ['scut.edu.cn', 'uta.edu', 'mail.scut.edu.cn', 'gmail.com', 'hotmail.com']\n",
      "1342 https://openreview.net/forum?id=S1MQ6jCcK7\n",
      "['Sungjoon Choi', 'Sanghoon Hong', 'Kyungjae Lee', 'Sungbin Lim'] ['cpslab.snu.ac.kr', 'gmail.com', 'kakaobrain.com']\n",
      "1343 https://openreview.net/forum?id=S1ecm2C9K7\n",
      "['Klas Leino', 'Emily Black', 'Matt Fredrikson', 'Shayak Sen', 'Anupam Datta'] ['cs.cmu.edu', 'cmu.edu']\n",
      "1344 https://openreview.net/forum?id=S1eEmn05tQ\n",
      "['Alexandre Lacoste', 'Boris Oreshkin', 'Wonchang Chung', 'Thomas Boquet', 'Negar Rostamzadeh', 'David Krueger'] ['gmail.com', 'elementai.com']\n",
      "1345 https://openreview.net/forum?id=SJNRHiAcYX\n",
      "['Yunhao Tang', 'Shipra Agrawal'] ['columbia.edu']\n",
      "1346 https://openreview.net/forum?id=B1e9W3AqFX\n",
      "['Pengfei Liu', 'Xuanjing Huang'] ['fudan.edu.cn']\n",
      "1347 https://openreview.net/forum?id=B1lnjo05Km\n"
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      "['Alexander Tong', 'David van Dijk', 'Jay Stanley', 'Guy Wolf', 'Smita Krishnaswamy'] ['yale.edu']\n",
      "1348 https://openreview.net/forum?id=r1g4E3C9t7\n",
      "['Zhuolin Yang', 'Bo Li', 'Pin-Yu Chen', 'Dawn Song'] ['ibm.com', 'gmail.com', 'sjtu.edu.cn']\n",
      "1349 https://openreview.net/forum?id=rJl8viCqKQ\n",
      "['Alon Brutzkus', 'Oren Elisha', 'Ran Gilad-Bachrach'] ['gmail.com', 'microsoft.com']\n",
      "1350 https://openreview.net/forum?id=rygnfn0qF7\n",
      "['Ming-Wei Chang', 'Kristina Toutanova', 'Kenton Lee', 'Jacob Devlin'] ['google.com']\n",
      "1351 https://openreview.net/forum?id=HygQBn0cYm\n",
      "['Mikael Henaff', 'Alfredo Canziani', 'Yann LeCun'] ['cs.nyu.edu', 'nyu.edu']\n",
      "1352 https://openreview.net/forum?id=BJl4f2A5tQ\n",
      "['Kamyar Azizzadenesheli', 'Brandon Yang', 'Weitang Liu', 'Emma Brunskill', 'Zachary Lipton', 'Animashree Anandkumar'] ['stanford.edu', 'cs.stanford.edu', 'caltech.edu', 'cmu.edu', 'ucdavis.edu', 'uci.edu']\n",
      "1353 https://openreview.net/forum?id=S1MB-3RcF7\n",
      "['Isabela Albuquerque', 'João Monteiro', 'Thang Doan', 'Breandan Considine', 'Tiago Falk', 'Ioannis Mitliagkas'] ['gmail.com', 'emt.inrs.ca', 'mail.mcgill.ca', 'iro.umontreal.ca']\n",
      "1354 https://openreview.net/forum?id=S1eX-nA5KX\n",
      "['Hao Zhang', 'Bo Chen', 'Long Tian', 'Zhengjue Wang', 'Mingyuan Zhou'] ['163.com', 'mail.xidian.edu.cn', 'mccombs.utexas.edu']\n",
      "1355 https://openreview.net/forum?id=r1x4BnCqKX\n",
      "['John Bradshaw', 'Matt J. Kusner', 'Brooks Paige', 'Marwin H. S. Segler', 'José Miguel Hernández-Lobato'] ['turing.ac.uk', 'cam.ac.uk', 'benevolent.ai']\n",
      "1356 https://openreview.net/forum?id=ryl5khRcKm\n",
      "['Elisabeth Rumetshofer', 'Markus Hofmarcher', 'Clemens Röhrl', 'Sepp Hochreiter', 'Günter Klambauer'] ['ml.jku.at', 'meduniwien.ac.at']\n",
      "1357 https://openreview.net/forum?id=Hye6uoC9tm\n",
      "['Adam C Earle', 'Andrew M Saxe', 'Benjamin Rosman'] ['gmail.com', 'psy.ox.ac.uk']\n",
      "1358 https://openreview.net/forum?id=rJleN20qK7\n",
      "['Wesley Chung', 'Somjit Nath', 'Ajin Joseph', 'Martha White'] ['ualberta.ca']\n",
      "1359 https://openreview.net/forum?id=B1VZqjAcYX\n",
      "['Namhoon Lee', 'Thalaiyasingam Ajanthan', 'Philip Torr'] ['robots.ox.ac.uk']\n",
      "1360 https://openreview.net/forum?id=S1z9ehAqYX\n",
      "['Yihao Feng', 'Hao Liu', 'Jian Peng', 'Qiang Liu'] ['gmail.com', 'cs.utexas.edu', 'illinois.edu']\n",
      "1361 https://openreview.net/forum?id=B1xU4nAqK7\n",
      "['Kurtland Chua', 'Rowan McAllister', 'Roberto Calandra', 'Sergey Levine'] ['eecs.berkeley.edu', 'berkeley.edu']\n",
      "1362 https://openreview.net/forum?id=HJeABnCqKQ\n",
      "['Junhyuk Oh', 'Yijie Guo', 'Satinder Singh', 'Honglak Lee'] ['umich.edu', 'google.com']\n",
      "1363 https://openreview.net/forum?id=HJx9EhC9tQ\n",
      "['Michael Janner', 'Sergey Levine', 'William T. Freeman', 'Joshua B. Tenenbaum', 'Chelsea Finn', 'Jiajun Wu'] ['eecs.berkeley.edu', 'mit.edu', 'berkeley.edu']\n",
      "1364 https://openreview.net/forum?id=SygHGnRqK7\n",
      "['Mikhail Yurochkin', 'Mayank Agarwal', 'Soumya Ghosh', 'Kristjan Greenewald', 'Nghia Hoang', 'Yasaman Khazaeni'] ['ibm.com', 'us.ibm.com']\n",
      "1365 https://openreview.net/forum?id=BJlMcjC5K7\n",
      "['Davide Nunes', 'Luis Antunes'] ['campus.ul.pt', 'ciencias.ulisboa.pt']\n",
      "1366 https://openreview.net/forum?id=Hye64hA9tm\n",
      "['Danish Pruthi', 'Mansi Gupta', 'Nitish Kumar Kulkarni', 'Graham Neubig', 'Eduard Hovy'] ['andrew.cmu.edu', 'cs.cmu.edu', 'cmu.edu']\n",
      "1367 https://openreview.net/forum?id=SJxsV2R5FQ\n",
      "['Victoria Xia', 'Zi Wang', 'Kelsey Allen', 'Tom Silver', 'Leslie Pack Kaelbling'] ['csail.mit.edu', 'gmail.com', 'mit.edu']\n",
      "1368 https://openreview.net/forum?id=H1eiZnAqKm\n",
      "['Ian D. Jordan', 'Piotr Aleksander Sokol', 'Il Memming Park'] ['stonybrook.edu']\n",
      "1369 https://openreview.net/forum?id=ByezgnA5tm\n",
      "['Dong Xu', 'Eleanor Quint', 'Zeynep Hakguder', 'Haluk Dogan', 'Stephen Scott', 'Matthew Dwyer'] ['cse.unl.edu', 'virginia.edu', 'huskers.unl.edu']\n",
      "1370 https://openreview.net/forum?id=H1zxjsCqKQ\n",
      "['Yu Gai', 'Zheng Zhang', 'Kyunghyun Cho'] ['nyu.edu']\n",
      "1371 https://openreview.net/forum?id=ryEkcsActX\n",
      "['Pouya Bashivan', 'Mark Tensen', 'James J DiCarlo'] ['student.uva.nl', 'mit.edu']\n",
      "1372 https://openreview.net/forum?id=r1GB5jA5tm\n",
      "['Christoph Mayer', 'Radu Timofte'] ['vision.ee.ethz.ch']\n",
      "1373 https://openreview.net/forum?id=H1gR5iR5FX\n",
      "['David Saxton', 'Edward Grefenstette', 'Felix Hill', 'Pushmeet Kohli'] ['google.com']\n",
      "1374 https://openreview.net/forum?id=ByeZ5jC5YQ\n",
      "['James Jordon', 'Jinsung Yoon', 'Mihaela van der Schaar'] ['wolfson.ox.ac.uk', 'gmail.com', 'eng.ox.ac.uk']\n",
      "1375 https://openreview.net/forum?id=r1xQQhAqKX\n",
      "['Seong Joon Oh', 'Kevin P. Murphy', 'Jiyan Pan', 'Joseph Roth', 'Florian Schroff', 'Andrew C. Gallagher'] ['linecorp.com', 'google.com']\n",
      "1376 https://openreview.net/forum?id=SygJSiA5YQ\n",
      "['Siwei Luo'] ['gmail.com']\n",
      "1377 https://openreview.net/forum?id=rkg5fh0ctQ\n",
      "['Yaohua Tang', 'Kaixiang Mo', 'Qian Xu', 'Chao Zhang', 'Qiang Yang'] ['cse.ust.hk', 'outlook.com', 'connect.ust.hk', 'webank.com']\n",
      "1378 https://openreview.net/forum?id=Skgge3R9FQ\n",
      "['Mahdieh Abbasi', 'Arezoo Rajabi', 'Azadeh Sadat Mozafari', 'Rakesh B. Bobba', 'Christian Gagné'] ['ulaval.ca', 'oregonstate.edu', 'gel.ulaval.ca']\n",
      "1379 https://openreview.net/forum?id=SJfb5jCqKm\n",
      "['Yonatan Geifman', 'Guy Uziel', 'Ran El-Yaniv'] ['gmail.com', 'cs.technion.ac.il']\n",
      "1380 https://openreview.net/forum?id=H1V4QhAqYQ\n",
      "['Elad Hoffer', 'Itay Hubara', 'Niv Giladi', 'Daniel Soudry'] ['gmail.com']\n",
      "1381 https://openreview.net/forum?id=BkgtDsCcKQ\n",
      "['Ziyu Wang', 'Tongzheng Ren', 'Jun Zhu', 'Bo Zhang'] ['gmail.com', 'mail.tsinghua.edu.cn']\n",
      "1382 https://openreview.net/forum?id=SklR_iCcYm\n",
      "['Santiago Gonzalez', 'Joshua Landgraf', 'Risto Miikkulainen'] ['utexas.edu', 'cs.utexas.edu']\n",
      "1383 https://openreview.net/forum?id=SJgEl3A5tm\n",
      "['Yang Zhang', 'Hassan Foroosh', 'Philip David', 'Boqing Gong'] ['gmail.com', 'mail.mil', 'outlook.com', 'cs.ucf.edu']\n",
      "1384 https://openreview.net/forum?id=HygjqjR9Km\n",
      "['Wei Wang', 'Yuan Sun', 'Saman Halgamuge'] ['unimelb.edu.au', 'rmit.edu.au', 'student.unimelb.edu.au']\n",
      "1385 https://openreview.net/forum?id=SkghBoR5FX\n",
      "['Nathan Inkawhich', 'Matthew Inkawhich', 'Hai Li', 'Yiran Chen'] ['duke.edu']\n",
      "1386 https://openreview.net/forum?id=BJgWl3A5YX\n",
      "['Dylan Banarse', 'Yoram Bachrach', 'Siqi Liu', 'Chrisantha Fernando', 'Nicolas Heess', 'Pushmeet Kohli', 'Guy Lever', 'Thore Graepel'] ['google.com']\n",
      "1387 https://openreview.net/forum?id=H1ERcs09KQ\n",
      "['Su-Jin Shin', 'Kyungwoo Song', 'Il-Chul Moon'] ['kaist.ac.kr']\n",
      "1388 https://openreview.net/forum?id=HJG7m2AcF7\n",
      "['Sidak Pal Singh', 'Andreas Hug', 'Aymeric Dieuleveut', 'Martin Jaggi'] ['epfl.ch']\n",
      "1389 https://openreview.net/forum?id=H1xL_iR9Km\n",
      "['Junnan Li', 'Ziwei Xu', 'Yongkang Wong', 'Qi Zhao', 'Mohan S. Kankanhalli'] ['nus.edu.sg', 'comp.nus.edu.sg', 'u.nus.edu', 'cs.umn.edu']\n",
      "1390 https://openreview.net/forum?id=B1GMDsR5tm\n",
      "[\"Peter O'Connor\", 'Efstratios Gavves', 'Max Welling'] ['uva.nl', 'gmail.com']\n",
      "1391 https://openreview.net/forum?id=SJgzJh0qtQ\n",
      "['Isha Garg', 'Priyadarshini Panda', 'Kaushik Roy'] ['purdue.edu']\n",
      "1392 https://openreview.net/forum?id=rklXaoAcFX\n",
      "['Nina Miolane', 'Johan Mathe', 'Claire Donnat', 'Mikael Jorda', 'Xavier Pennec'] ['inria.fr', 'froglabs.ai', 'stanford.edu']\n",
      "1393 https://openreview.net/forum?id=r1xwKoR9Y7\n",
      "['Daniel Huang', 'Prafulla Dhariwal', 'Dawn Song', 'Ilya Sutskever'] ['cs.berkeley.edu', 'openai.com', 'berkeley.edu']\n",
      "1394 https://openreview.net/forum?id=H1xQSjCqFQ\n",
      "['Andrea Zunino', 'Sarah Adel Bargal', 'Pietro Morerio', 'Jianming Zhang', 'Stan Sclaroff', 'Vittorio Murino'] ['iit.it', 'adobe.com', 'bu.edu']\n",
      "1395 https://openreview.net/forum?id=H1GLm2R9Km\n",
      "['Shiyu Duan', 'Shujian Yu'] ['gmail.com', 'ufl.edu']\n",
      "1396 https://openreview.net/forum?id=BJe1hsCcYQ\n",
      "['Marc T Law', 'Jake Snell', 'Richard S Zemel'] ['cs.toronto.edu']\n",
      "1397 https://openreview.net/forum?id=rJGgFjA9FQ\n",
      "['Zenan Ling', 'Haotian Ma', 'Yu Yang', 'Robert C. Qiu', 'Song-Chun Zhu', 'Quanshi Zhang'] ['tntech.edu', 'ucla.edu', 'sjtu.edu.cn', 'mail.sustc.edu.cn', 'stat.ucla.edu']\n",
      "1398 https://openreview.net/forum?id=Hklc6oAcFX\n",
      "['Gal Mishne', 'Eric C. Chi', 'Ronald R. Coifman'] ['yale.edu', 'ncsu.edu']\n",
      "1399 https://openreview.net/forum?id=rJg8yhAqKm\n",
      "['Anirudh Goyal', 'Riashat Islam', 'DJ Strouse', 'Zafarali Ahmed', 'Hugo Larochelle', 'Matthew Botvinick', 'Yoshua Bengio', 'Sergey Levine'] ['eecs.berkeley.edu', 'mail.mcgill.ca', 'google.com', 'mila.quebec', 'gmail.com']\n",
      "1400 https://openreview.net/forum?id=rkevMnRqYQ\n"
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      "1401 https://openreview.net/forum?id=SkgE8sRcK7\n",
      "['Bin Zhou', 'Jiashi Feng'] ['u.nus.edu']\n",
      "1402 https://openreview.net/forum?id=HyzdRiR9Y7\n",
      "['Mostafa Dehghani', 'Stephan Gouws', 'Oriol Vinyals', 'Jakob Uszkoreit', 'Lukasz Kaiser'] ['uva.nl', 'google.com']\n",
      "1403 https://openreview.net/forum?id=HyeFAsRctQ\n",
      "['Chongli Qin', 'Krishnamurthy (Dj) Dvijotham', \"Brendan O'Donoghue\", 'Rudy Bunel', 'Robert Stanforth', 'Sven Gowal', 'Jonathan Uesato', 'Grzegorz Swirszcz', 'Pushmeet Kohli'] ['google.com']\n",
      "1404 https://openreview.net/forum?id=SkeJ6iR9Km\n",
      "['Francesco Tonolini', 'Bjorn Sand Jensen', 'Roderick Murray-Smith'] ['student.gla.ac.uk', 'glasgow.ac.uk']\n",
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      "['Yau-Shian Wang', 'Yun-Nung Chen', 'Hung-Yi Lee'] ['gmail.com', 'ieee.org']\n",
      "1406 https://openreview.net/forum?id=SJl2ps0qKQ\n",
      "['Haihong Yang', 'Han Wang', 'Shuang Guo', 'Wei Zhang', 'Huajun Chen'] ['zju.edu.cn', 'alibaba-inc.com']\n",
      "1407 https://openreview.net/forum?id=B1g-X3RqKm\n",
      "['Joel Hestness', 'Sharan Narang', 'Newsha Ardalani', 'Heewoo Jun', 'Hassan Kianinejad', 'Md. Mostofa Ali Patwary', 'Yang Yang', 'Yanqi Zhou', 'Gregory Diamos', 'Kenneth Church'] ['baidu.com']\n",
      "1408 https://openreview.net/forum?id=BklHpjCqKm\n",
      "['Michael Lutter', 'Christian Ritter', 'Jan Peters'] ['ias.tu-darmstadt.de', 'stud.tu-darmstadt.de', 'robot-learning.de']\n",
      "1409 https://openreview.net/forum?id=SJG1wjRqFQ\n",
      "['Raphael Shu', 'Hideki Nakayama'] ['ci.i.u-tokyo.ac.jp', 'nlab.ci.i.u-tokyo.ac.jp']\n",
      "1410 https://openreview.net/forum?id=ryxxCiRqYX\n",
      "['Adel Bibi', 'Bernard Ghanem', 'Vladlen Koltun', 'Rene Ranftl'] ['gmail.com', 'kaust.edu.sa']\n",
      "1411 https://openreview.net/forum?id=HyxzRsR9Y7\n",
      "['Tanmay Gangwani', 'Qiang Liu', 'Jian Peng'] ['cs.utexas.edu', 'uiuc.edu', 'illinois.edu']\n",
      "1412 https://openreview.net/forum?id=rJxF73R9tX\n",
      "['Sunil Thulasidasan', 'Tanmoy Bhattacharya', 'Jeffrey Bilmes', 'Gopinath Chennupati', 'Jamal Mohd-Yusof'] ['uw.edu', 'lanl.gov']\n",
      "1413 https://openreview.net/forum?id=HJGkisCcKm\n",
      "['Noam Mor', 'Lior Wolf', 'Adam Polyak', 'Yaniv Taigman'] ['gmail.com', 'fb.com']\n",
      "1414 https://openreview.net/forum?id=Hyx6Bi0qYm\n",
      "['Ali Farshchian', 'Juan A. Gallego', 'Joseph P. Cohen', 'Yoshua Bengio', 'Lee E. Miller', 'Sara A. Solla'] ['umontreal.ca', 'josephpcohen.com', 'northwestern.edu']\n",
      "1415 https://openreview.net/forum?id=HkElFj0qYQ\n",
      "['Mehdi Jafarnia-Jahromi', 'Tasmin Chowdhury', 'Hsin-Tai Wu', 'Sayandev Mukherjee'] ['unlv.nevada.edu', 'usc.edu', 'docomoinnovations.com', 'huawei.com']\n",
      "1416 https://openreview.net/forum?id=HJz6QhR9YQ\n",
      "['Huazhe Xu', 'Keiran Paster', 'Qibin Chen', 'Haoran Tang', 'Pieter Abbeel', 'Trevor Darrell', 'Sergey Levine'] ['eecs.berkeley.edu', 'tsinghua.edu.cn', 'berkeley.edu', 'cs.berkeley.edu', 'math.berkeley.edu']\n",
      "1417 https://openreview.net/forum?id=rylxrsR9Fm\n",
      "['Han Yue', 'De-An Wu', 'Lei Wu', 'Ji Xie'] ['163.com', 'uestc.edu.cn']\n",
      "1418 https://openreview.net/forum?id=BygqBiRcFQ\n",
      "['Fernando Gama', 'Alejandro Ribeiro', 'Joan Bruna'] ['cims.nyu.edu', 'seas.upenn.edu']\n",
      "1419 https://openreview.net/forum?id=S1eBzhRqK7\n",
      "['Krzysztof Maziarz', 'Andrey Khorlin', 'Quentin de Laroussilhe', 'Andrea Gesmundo'] ['google.com']\n",
      "1420 https://openreview.net/forum?id=BJg_fnRqF7\n",
      "['Shlomo E. Chazan', 'Sharon Gannot', 'Jacob Goldberger'] ['biu.ac.il']\n",
      "1421 https://openreview.net/forum?id=BkgiM20cYX\n",
      "['Hsin-Wei Yu', 'Po-Yu Wu', 'Chih-An Tsao', 'You-An Shen', 'Shih-Hsuan Lin', 'Zhang-Wei Hong', 'Yi-Hsiang Chang'] ['gmai.com', 'gmail.com', 'gapp.nthu.edu.tw']\n",
      "1422 https://openreview.net/forum?id=rylhToC5YQ\n",
      "['Eric Chu', 'Peter J. Liu'] ['mit.edu', 'google.com']\n",
      "1423 https://openreview.net/forum?id=SkgzYiRqtX\n",
      "['Hao Zhu', 'Yankai Lin', 'Zhiyuan Liu', 'Jie Fu', 'Tat-seng Chua and Maosong Sun'] ['mails.tsinghua.edu.cn', 'gmail.com', 'tsinghua.edu.cn', 'comp.nus.edu.sg']\n",
      "1424 https://openreview.net/forum?id=SkE6PjC9KX\n",
      "['Hyunjik Kim', 'Andriy Mnih', 'Jonathan Schwarz', 'Marta Garnelo', 'Ali Eslami', 'Dan Rosenbaum', 'Oriol Vinyals', 'Yee Whye Teh'] ['google.com']\n",
      "1425 https://openreview.net/forum?id=rJxgknCcK7\n",
      "['Will Grathwohl', 'Ricky T. Q. Chen', 'Jesse Bettencourt', 'Ilya Sutskever', 'David Duvenaud'] ['cs.toronto.edu', 'openai.com']\n",
      "1426 https://openreview.net/forum?id=SJlp8sA5Y7\n",
      "['Connie Kou', 'Hwee Kuan Lee', 'Teck Khim Ng', 'Jorge Sanz'] ['nus.edu.sg', 'comp.nus.edu.sg', 'bii.a-star.edu.sg']\n",
      "1427 https://openreview.net/forum?id=r1lgm3C5t7\n",
      "['Hongxiang Chen', 'Leonard Wossnig', 'Hartmut Neven', 'Simone Severini', 'Masoud Mohseni'] ['gmail.com', 'google.com', 'ucl.ac.uk']\n",
      "1428 https://openreview.net/forum?id=HJex0o05F7\n",
      "['Tiago Pimentel', 'Marianne Monteiro', 'Juliano Viana', 'Adriano Veloso', 'Nivio Ziviani'] ['dcc.ufmg.br', 'kunumi.com']\n",
      "1429 https://openreview.net/forum?id=S1fDssA5Y7\n",
      "['Jikai Hou', 'Kaixuan Huang', 'Zhihua Zhang'] ['math.pku.edu.cn', 'pku.edu.cn']\n",
      "1430 https://openreview.net/forum?id=ByxPYjC5KQ\n",
      "['Hoang Thanh-Tung', 'Truyen Tran', 'Svetha Venkatesh'] ['deakin.edu.au']\n",
      "1431 https://openreview.net/forum?id=r1My6sR9tX\n",
      "['Kyle Hsu', 'Sergey Levine', 'Chelsea Finn'] ['eecs.berkeley.edu', 'mail.utoronto.ca']\n",
      "1432 https://openreview.net/forum?id=rylqooRqK7\n",
      "['Sirui Xie', 'Hehui Zheng', 'Chunxiao Liu', 'Liang Lin'] ['ieee.org', 'sensetime.com']\n",
      "1433 https://openreview.net/forum?id=rkzjUoAcFX\n",
      "['Yutian Chen', 'Yannis Assael', 'Brendan Shillingford', 'David Budden', 'Scott Reed', 'Heiga Zen', 'Quan Wang', 'Luis C. Cobo', 'Andrew Trask', 'Ben Laurie', 'Caglar Gulcehre', 'Aäron van den Oord', 'Oriol Vinyals', 'Nando de Freitas'] ['google.com']\n",
      "1434 https://openreview.net/forum?id=BJgklhAcK7\n",
      "['Andrei A. Rusu', 'Dushyant Rao', 'Jakub Sygnowski', 'Oriol Vinyals', 'Razvan Pascanu', 'Simon Osindero', 'Raia Hadsell'] ['google.com']\n",
      "1435 https://openreview.net/forum?id=S1eB3sRqtm\n",
      "['Yeming Wen', 'Kevin Luk', 'Maxime Gazeau', 'Guodong Zhang', 'Harris Chan', 'Jimmy Ba'] ['cs.toronto.edu', 'gmail.com', 'borealisai.com']\n",
      "1436 https://openreview.net/forum?id=Syxt5oC5YQ\n",
      "['James Lucas', 'Shengyang Sun', 'Richard Zemel', 'Roger Grosse'] ['cs.toronto.edu']\n",
      "1437 https://openreview.net/forum?id=rkx1m2C5YQ\n",
      "['Philipp Becker', 'Harit Pandya', 'Gregor H.W. Gebhardt', 'Cheng Zhao', 'Gerhard Neumann'] ['gmail.com', 'lincoln.ac.uk', 'ias.tu-darmstadt.de', 'googlemail.com']\n",
      "1438 https://openreview.net/forum?id=HJl2Ns0qKX\n",
      "['Tim Sainburg', 'Marvin Thielk', 'Brad Thielman', 'Benjamin Migliori'] ['gmail.com', 'ucsd.edu', 'lanl.gov']\n",
      "1439 https://openreview.net/forum?id=S1gUVjCqKm\n",
      "['Sungyeob Han', 'Daeyoung Kim', 'Jungwoo Lee'] ['cml.snu.ac.kr', 'snu.ac.kr']\n",
      "1440 https://openreview.net/forum?id=rygypo0qtm\n",
      "['Chao Yang'] ['gmail.com']\n",
      "1441 https://openreview.net/forum?id=HJxeWnCcF7\n",
      "['Albert Gu', 'Frederic Sala', 'Beliz Gunel', 'Christopher Ré'] ['cs.stanford.edu', 'stanford.edu']\n",
      "1442 https://openreview.net/forum?id=H1x-x309tm\n",
      "['Xiangyi Chen', 'Sijia Liu', 'Ruoyu Sun', 'Mingyi Hong'] ['ibm.com', 'umn.edu', 'illinois.edu']\n",
      "1443 https://openreview.net/forum?id=Byldr3RqKX\n",
      "['Michel Besserve', 'Remy Sun', 'Bernhard Schoelkopf'] ['ens-rennes.fr', 'tuebingen.mpg.de']\n",
      "1444 https://openreview.net/forum?id=Skf-oo0qt7\n",
      "['Minshuo Chen', 'Xingguo Li', 'Tuo Zhao'] ['umn.edu', 'gatech.edu']\n",
      "1445 https://openreview.net/forum?id=r1xRW3A9YX\n",
      "['Atsushi Suzuki', 'Yosuke Enokida', 'Kenji Yamanishi'] ['g.ecc.u-tokyo.ac.jp', 'mist.i.u-tokyo.ac.jp']\n",
      "1446 https://openreview.net/forum?id=HklUN3RcFX\n",
      "['Shikhar Vashishth', 'Prateek Yadav', 'Manik Bhandari', 'Partha Talukdar'] ['gmail.com', 'iisc.ac.in']\n",
      "1447 https://openreview.net/forum?id=rJxNAjC5F7\n",
      "['Martin Loncaric', 'Ryan Weber', 'Bowei Liu'] ['gmail.com', 'thehive.ai']\n",
      "1448 https://openreview.net/forum?id=BkfbpsAcF7\n",
      "['Joern-Henrik Jacobsen', 'Jens Behrmann', 'Richard Zemel', 'Matthias Bethge'] ['cs.toronto.edu', 'uni-tuebingen.de', 'vectorinstitute.ai', 'uni-bremen.de']\n",
      "1449 https://openreview.net/forum?id=Syeben09FQ\n",
      "['Paulina Grnarova', 'Kfir Y Levy', 'Aurelien Lucchi', 'Nathanael Perraudin', 'Thomas Hofmann', 'Andreas Krause'] ['inf.ethz.ch', 'sdsc.ethz.ch', 'ethz.ch']\n",
      "1450 https://openreview.net/forum?id=rJgTTjA9tX\n",
      "['Frederic Koehler', 'Andrej Risteski'] ['mit.edu']\n",
      "1451 https://openreview.net/forum?id=SyxZOsA9tX\n"
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      "['Yujun Li', 'Chengzhuo Ni', 'Guangzeng Xie', 'Wenhao Yang', 'Shuchang Zhou', 'Zhihua Zhang'] ['math.pku.edu.cn', 'gmail.com', 'pku.edu.cn', 'megvii.com']\n",
      "1452 https://openreview.net/forum?id=HJgHwi0ctm\n",
      "['Masoud Faraki', 'Mahsa Baktashmotlagh', 'Tom Drummond', 'Mathieu Salzmann'] ['qut.edu.au', 'monash.edu', 'epfl.ch']\n",
      "1453 https://openreview.net/forum?id=HJx7l309Fm\n",
      "['Shariq Iqbal', 'Fei Sha'] ['gmail.com']\n",
      "1454 https://openreview.net/forum?id=HkfYOoCcYX\n",
      "['Daehyun Ahn', 'Dongsoo Lee', 'Taesu Kim', 'Jae-Joon Kim'] ['gmail.com', 'postech.ac.kr']\n",
      "1455 https://openreview.net/forum?id=SJMO2iCct7\n",
      "['Daniel Hernandez Diaz', 'Antonio Khalil Moretti', 'Ziqiang Wei', 'Shreya Saxena', 'John Cunningham', 'Liam Paninski'] ['columbia.edu', 'gmail.com', 'cs.columbia.edu', 'janelia.hhmi.org']\n",
      "1456 https://openreview.net/forum?id=H1lGHsA9KX\n",
      "['Seong Jin Cho', 'Sunghun Kang', 'Chang D. Yoo'] ['kaist.ac.kr']\n",
      "1457 https://openreview.net/forum?id=S1xNEhR9KX\n",
      "['Gavin Weiguang Ding', 'Kry Yik Chau Lui', 'Xiaomeng Jin', 'Luyu Wang', 'Ruitong Huang'] ['borealisai.com', 'mail.utoronto.ca']\n",
      "1458 https://openreview.net/forum?id=rkgWBi09Ym\n",
      "['Matan Ben-Yosef', 'Daphna Weinshall'] ['mail.huji.ac.il', 'cs.huji.ac.il']\n",
      "1459 https://openreview.net/forum?id=BJej72AqF7\n",
      "['Zichao Wang', 'Randall Balestriero', 'Richard Baraniuk'] ['gmail.com', 'rice.edu']\n",
      "1460 https://openreview.net/forum?id=Skz-3j05tm\n",
      "['Suman Banerjee', 'Mitesh M. Khapra'] ['cse.iitm.ac.in']\n",
      "1461 https://openreview.net/forum?id=S1x2Fj0qKQ\n",
      "['Aliaksandr Siarohin', 'Enver Sangineto', 'Nicu Sebe'] ['unitn.it']\n",
      "1462 https://openreview.net/forum?id=SJfWKsC5K7\n",
      "['Hao Chen', 'Runjin Chen', 'Quanshi Zhang'] ['hust.edu.cn', 'sjtu.edu.cn']\n",
      "1463 https://openreview.net/forum?id=ByloJ20qtm\n",
      "['Marko Vasic', 'Aditya Kanade', 'Petros Maniatis', 'David Bieber', 'Rishabh Singh'] ['utexas.edu', 'google.com']\n",
      "1464 https://openreview.net/forum?id=SJxFN3RcFX\n",
      "['Nanyang Ye', 'Zhanxing Zhu'] ['cam.ac.uk', 'pku.edu.cn']\n",
      "1465 https://openreview.net/forum?id=rkgpy3C5tX\n",
      "['Sachin Ravi', 'Alex Beatson'] ['cs.princeton.edu', 'princeton.edu']\n",
      "1466 https://openreview.net/forum?id=Bkl-43C9FQ\n",
      "['Chiyu Max Jiang', 'Jingwei Huang', 'Karthik Kashinath', 'Prabhat', 'Philip Marcus', 'Matthias Niessner'] ['berkeley.edu', 'tum.de', 'stanford.edu', 'lbl.gov', 'me.berkeley.edu']\n",
      "1467 https://openreview.net/forum?id=BygGNnCqKQ\n",
      "['Anubhav Ashok'] ['alumni.cmu.edu']\n",
      "1468 https://openreview.net/forum?id=HyGEM3C9KQ\n",
      "['Robert Csordas', 'Juergen Schmidhuber'] ['idsia.ch']\n",
      "1469 https://openreview.net/forum?id=SkgToo0qFm\n",
      "['Raphael J. L. Townshend', 'Rishi Bedi', 'Ron O. Dror'] ['cs.stanford.edu']\n",
      "1470 https://openreview.net/forum?id=r1f0YiCctm\n",
      "['Marton Havasi', 'Robert Peharz', 'José Miguel Hernández-Lobato'] ['cam.ac.uk']\n",
      "1471 https://openreview.net/forum?id=r1gR2sC9FX\n",
      "['Nasim Rahaman', 'Aristide Baratin', 'Devansh Arpit', 'Felix Draxler', 'Min Lin', 'Fred Hamprecht', 'Yoshua Bengio'] ['gmail.com', 'umontreal.ca', 'hotmail.com', 'iwr.uni-heidelberg.de']\n",
      "1472 https://openreview.net/forum?id=HkgYmhR9KX\n",
      "['Fangwei Zhong', 'Peng Sun', 'Wenhan Luo', 'Tingyun Yan', 'Yizhou Wang'] ['gmail.com', 'pku.edu.cn']\n",
      "1473 https://openreview.net/forum?id=HyMRUiC9YX\n",
      "['Lei Wu', 'Zhanxing Zhu', 'Cheng Tai'] ['pku.edu.cn']\n",
      "1474 https://openreview.net/forum?id=HkgqFiAcFm\n",
      "['Carson Eisenach', 'Haichuan Yang', 'Ji Liu', 'Han Liu'] ['gmail.com', 'rochester.edu', 'princeton.edu']\n",
      "1475 https://openreview.net/forum?id=SkGMOi05FQ\n",
      "['Afroz Ahamad'] ['gmail.com']\n",
      "1476 https://openreview.net/forum?id=rJG8asRqKX\n",
      "['Changhee Lee', 'Mihaela van der Schaar'] ['ee.ucla.edu', 'gmail.com']\n",
      "1477 https://openreview.net/forum?id=BJgnmhA5KQ\n",
      "['Tianxiao Shen', 'Myle Ott', 'Michael Auli', 'Marc’Aurelio Ranzato'] ['mit.edu', 'fb.com']\n",
      "1478 https://openreview.net/forum?id=SygxYoC5FX\n",
      "['Xin Luo', 'Hankz Hankui Zhuo'] ['mail2.sysu.edu.cn', 'mail.sysu.edu.cn']\n",
      "1479 https://openreview.net/forum?id=rklNwjCcYm\n",
      "['Peng-Hsuan Li', 'Wei-Yun Ma'] ['iis.sinica.edu.tw']\n",
      "1480 https://openreview.net/forum?id=B1ffQnRcKX\n",
      "['Michael Chang', 'Abhishek Gupta', 'Sergey Levine', 'Thomas L. Griffiths'] ['eecs.berkeley.edu', 'berkeley.edu']\n",
      "1481 https://openreview.net/forum?id=rkxacs0qY7\n",
      "['Shengyang Sun', 'Guodong Zhang', 'Jiaxin Shi', 'Roger Grosse'] ['cs.toronto.edu', 'mails.tsinghua.edu.cn', 'gmail.com']\n",
      "1482 https://openreview.net/forum?id=rkle3i09K7\n",
      "['Kimin Lee', 'Sukmin Yun', 'Kibok Lee', 'Honglak Lee', 'Bo Li', 'Jinwoo Shin'] ['eecs.umich.edu', 'kaist.ac.kr', 'gmail.com', 'umich.edu']\n",
      "1483 https://openreview.net/forum?id=HJeOMhA5K7\n",
      "['Mayukh Das', 'Yang Yu', 'Devendra Singh Dhami', 'Gautam Kunapuli', 'Sriraam Natarajan'] ['utdallas.edu', 'hlt.utdallas.edu']\n",
      "1484 https://openreview.net/forum?id=SkfhIo0qtQ\n",
      "['Sameera Ramasinghe', 'Salman Khan', 'Nick Barnes'] ['anu.edu.au', 'data61.csiro.au']\n",
      "1485 https://openreview.net/forum?id=rJlRKjActQ\n",
      "['Vikas Verma', 'Alex Lamb', 'Christopher Beckham', 'Amir Najafi', 'Aaron Courville', 'Ioannis Mitliagkas', 'Yoshua Bengio'] ['ce.sharif.edu', 'gmail.com', 'iro.umontreal.ca']\n",
      "1486 https://openreview.net/forum?id=ryxMjoRcYm\n",
      "['Mohammadhosein Hasanbeig', 'Alessandro Abate', 'Daniel Kroening'] ['cs.ox.ac.uk']\n",
      "1487 https://openreview.net/forum?id=r1lpx3A9K7\n",
      "['Ruying Bao', 'Sihang Liang', 'Qingcan Wang'] ['princeton.edu']\n",
      "1488 https://openreview.net/forum?id=SyxnvsAqFm\n",
      "['Parichay Kapoor', 'Dongsoo Lee', 'Byeongwook Kim', 'Saehyung Lee'] ['gmail.com']\n",
      "1489 https://openreview.net/forum?id=BJGjOi09t7\n",
      "['Steven Squires', 'Adam Prugel-Bennett', 'Mahesan Niranjan'] ['ecs.soton.ac.uk']\n",
      "1490 https://openreview.net/forum?id=SyNPk2R9K7\n",
      "['Yunchao Liu', 'Zheng Wu', 'Daniel Ritchie', 'William T. Freeman', 'Joshua B. Tenenbaum', 'Jiajun Wu'] ['brown.edu', 'gmail.com', 'mit.edu', 'sjtu.edu.cn']\n",
      "1491 https://openreview.net/forum?id=HyePrhR5KX\n",
      "['Rakshit Trivedi', 'Mehrdad Farajtabar', 'Prasenjeet Biswal', 'Hongyuan Zha'] ['gmail.com', 'cc.gatech.edu', 'gatech.edu', 'google.com']\n",
      "1492 https://openreview.net/forum?id=BJg9DoR9t7\n",
      "['Peng Cao*', 'Yilun Xu*', 'Yuqing Kong', 'Yizhou Wang'] ['pku.edu.cn']\n",
      "1493 https://openreview.net/forum?id=SJxu5iR9KQ\n",
      "['Daewoo Kim', 'Sangwoo Moon', 'David Hostallero', 'Wan Ju Kang', 'Taeyoung Lee', 'Kyunghwan Son', 'Yung Yi'] ['kaist.ac.kr', 'gmail.com', 'lanada.kaist.ac.kr', 'kaist.edu']\n",
      "1494 https://openreview.net/forum?id=Bkeuz20cYm\n",
      "['Hui Li', 'Kailiang Hu', 'Zhibang Ge', 'Tao Jiang', 'Yuan Qi', 'Le Song'] ['antfin.com', 'cc.gatech.edu']\n",
      "1495 https://openreview.net/forum?id=ryGfnoC5KQ\n",
      "['Christopher Roth', 'Ingmar Kanitscheider', 'Ila Fiete'] ['utexas.edu', 'openai.com', 'mit.edu']\n",
      "1496 https://openreview.net/forum?id=S1VWjiRcKX\n",
      "['Diana Borsa', 'Andre Barreto', 'John Quan', 'Daniel J. Mankowitz', 'Hado van Hasselt', 'Remi Munos', 'David Silver', 'Tom Schaul'] ['google.com']\n",
      "1497 https://openreview.net/forum?id=HygQro05KX\n",
      "['Yichi Zhou', 'Jun Zhu'] ['gmail.com', 'mail.tsinghua.edu.cn']\n",
      "1498 https://openreview.net/forum?id=Hkemdj09YQ\n",
      "['Beomsu Kim', 'Junghoon Seo', 'Jeongyeol Choe', 'Jamyoung Koo', 'Seunghyeon Jeon', 'Taegyun Jeon'] ['gmail.com', 'si-analytics.ai', 'satreci.com']\n",
      "1499 https://openreview.net/forum?id=HkzNXhC9KQ\n",
      "['Ken Nakanishi', 'Shin-ichi Maeda', 'Takeru Miyato', 'Masanori Koyama'] ['preferred.jp', 'gmail.com']\n",
      "1500 https://openreview.net/forum?id=HkghV209tm\n",
      "['Jun-Kun Wang', 'Xiaoyun Li', 'Ping Li'] ['gmail.com', 'scarletmail.rutgers.edu', 'gatech.edu']\n",
      "1501 https://openreview.net/forum?id=Sklv5iRqYX\n",
      "['Alice Schoenauer-Sebag', 'Louise Heinrich', 'Marc Schoenauer', 'Michele Sebag', 'Lani F. Wu', 'Steve J. Altschuler'] ['polytechnique.org', 'ucsf.edu', 'lri.fr', 'inria.fr']\n",
      "1502 https://openreview.net/forum?id=rkgZ3oR9FX\n",
      "['Panos Achlioptas', 'Judy E. Fan', 'Robert X.D. Hawkins', 'Noah D. Goodman', 'Leo Guibas'] ['cs.stanford.edu', 'stanford.edu']\n",
      "1503 https://openreview.net/forum?id=HJMRvsAcK7\n",
      "['Jiaxi Liu', 'Yidong Zhang', 'Xiaoqing Wang', 'Yuming Deng', 'Xingyu Wu', 'Miaolan Xie'] ['alibaba-inc.com']\n",
      "1504 https://openreview.net/forum?id=BJxYEsAqY7\n",
      "['SeongUk Park', 'Nojun Kwak'] ['snu.ac.kr']\n",
      "1505 https://openreview.net/forum?id=B1MhpiRqFm\n",
      "['Ling Pan', 'Qingpeng Cai', 'Qi Meng', 'Wei Chen', 'Tie-Yan Liu'] ['mails.tsinghua.edu.cn', 'microsoft.com']\n",
      "1506 https://openreview.net/forum?id=H1xipsA5K7\n"
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      "['Rong Ge', 'Rohith Kuditipudi', 'Zhize Li', 'Xiang Wang'] ['mails.tsinghua.edu.cn', 'cs.duke.edu', 'duke.edu']\n",
      "1507 https://openreview.net/forum?id=Hyg1Ls0cKQ\n",
      "['Jin-Young Kim', 'Sung-Bae Cho'] ['yonsei.ac.kr']\n",
      "1508 https://openreview.net/forum?id=SyVhg20cK7\n",
      "['David Earl Hostallero', 'Daewoo Kim', 'Kyunghwan Son', 'Yung Yi'] ['kaist.ac.kr', 'gmail.com', 'lanada.kaist.ac.kr', 'kaist.edu']\n",
      "1509 https://openreview.net/forum?id=BJeWOi09FQ\n",
      "['Cosmin I. Bercea', 'Olivier Pauly', 'Andreas K. Maier', 'Florin C. Ghesu'] ['gmail.com', 'siemens-healthineers.com', 'fau.de']\n",
      "1510 https://openreview.net/forum?id=BkG8sjR5Km\n",
      "['Siqi Liu', 'Guy Lever', 'Josh Merel', 'Saran Tunyasuvunakool', 'Nicolas Heess', 'Thore Graepel'] ['google.com']\n",
      "1511 https://openreview.net/forum?id=rJe-LiA5YX\n",
      "['Mitsuharu Takeori', 'Kenta Nakamura'] ['jp.nssol.nssmc.com']\n",
      "1512 https://openreview.net/forum?id=rJeQYjRqYX\n",
      "['Yuxian Qiu', 'Jingwen Leng', 'Yuhao Zhu', 'Quan Chen', 'Chao Li', 'Minyi Guo'] ['rochester.edu', 'sjtu.edu.cn', 'cs.sjtu.edu.cn']\n",
      "1513 https://openreview.net/forum?id=BkfPnoActQ\n",
      "['Tobias Pohlen', 'Bilal Piot', 'Todd Hester', 'Mohammad Gheshlaghi Azar', 'Dan Horgan', 'David Budden', 'Gabriel Barth-Maron', 'Hado van Hasselt', 'John Quan', 'Mel Večerík', 'Matteo Hessel', 'Rémi Munos', 'Olivier Pietquin'] ['google.com']\n",
      "1514 https://openreview.net/forum?id=SkgkJn05YX\n",
      "['Tiange Luo', 'Tianle Cai', 'Mengxiao Zhang', 'Siyu Chen', 'Liwei Wang'] ['usc.edu', 'pku.edu.cn', 'cis.pku.edu.cn']\n",
      "1515 https://openreview.net/forum?id=HJlQfnCqKX\n",
      "['Yiding Jiang', 'Dilip Krishnan', 'Hossein Mobahi', 'Samy Bengio'] ['google.com']\n",
      "1516 https://openreview.net/forum?id=BJxvEh0cFQ\n",
      "['Pramod Kaushik Mudrakarta', 'Mark Sandler', 'Andrey Zhmoginov', 'Andrew Howard'] ['gmail.com', 'uchicago.edu', 'google.com']\n",
      "1517 https://openreview.net/forum?id=H1zW13R5tm\n",
      "['Huanrui Yang', 'Jingchi Zhang', 'Hsin-Pai Cheng', 'Wenhan Wang', 'Yiran Chen', 'Hai Li'] ['microsoft.com', 'duke.edu']\n",
      "1518 https://openreview.net/forum?id=BJx9f305t7\n",
      "['Leygonie Jacob*', 'Jennifer She*', 'Amjad Almahairi', 'Sai Rajeswar', 'Aaron Courville'] ['gmail.com']\n",
      "1519 https://openreview.net/forum?id=r1ztwiCcYQ\n",
      "['Michael Tetelman'] ['gmail.com']\n",
      "1520 https://openreview.net/forum?id=r1MVuoCctX\n",
      "['Kai Shuang', 'Rui Li', 'Mengyu Gu', 'Qianqian Yang', 'Jonathan', 'Sen Su'] ['uwl.ac.uk', 'bupt.edu.cn']\n",
      "1521 https://openreview.net/forum?id=S1fNJhRqFX\n",
      "['Borislav Mavrin', 'Hengshuai Yao', 'Linglong Kong', 'ShangtongZhang'] ['ualberta.ca', 'gmail.com', 'huawei.com']\n",
      "1522 https://openreview.net/forum?id=S1erHoR5t7\n",
      "['Alexia Jolicoeur-Martineau'] ['mail.mcgill.ca']\n",
      "1523 https://openreview.net/forum?id=ryxaSsActQ\n",
      "['Yingting Wu', 'Hai Zhao', 'Rui Wang'] ['gmail.com', 'sjtu.edu.cn', 'cs.sjtu.edu.cn']\n",
      "1524 https://openreview.net/forum?id=H1lug3R5FX\n",
      "['Marc Khoury', 'Dylan Hadfield-Menell'] ['eecs.berkeley.edu', 'berkeley.edu']\n",
      "1525 https://openreview.net/forum?id=ByxZdj09tX\n",
      "['Brown Wang'] ['gmail.com']\n",
      "1526 https://openreview.net/forum?id=BJl_VnR9Km\n",
      "['Jielin Qiu', 'Ge Huang', 'Tai Sing Lee'] ['andrew.cmu.edu', 'gmail.com']\n",
      "1527 https://openreview.net/forum?id=H1g2NhC5KQ\n",
      "['Guillaume Lample', 'Sandeep Subramanian', 'Eric Smith', 'Ludovic Denoyer', \"Marc'Aurelio Ranzato\", 'Y-Lan Boureau'] ['lip6.fr', 'umontreal.ca', 'fb.com']\n",
      "1528 https://openreview.net/forum?id=HJe62s09tX\n",
      "['Jean Alaux', 'Edouard Grave', 'Marco Cuturi', 'Armand Joulin'] ['gmail.com', 'ens.fr', 'fb.com']\n",
      "1529 https://openreview.net/forum?id=HJgVisRqtX\n",
      "['Jiawei Zhang', 'Limeng Cui', 'Fisher B. Gouza'] ['163.com', 'gmail.com', 'ifmlab.org']\n",
      "1530 https://openreview.net/forum?id=BklAEsR5t7\n",
      "['Eran Goldman', 'Jacob Goldberger'] ['biu.ac.il', 'gmail.com']\n",
      "1531 https://openreview.net/forum?id=BJzmzn0ctX\n",
      "['Pasquale Minervini', 'Matko Bosnjak', 'Tim Rocktäschel', 'Edward Grefenstette', 'Sebastian Riedel'] ['gmail.com', 'google.com']\n",
      "1532 https://openreview.net/forum?id=H1eMBn09Km\n",
      "['Abhinav Jauhri', 'Brad Stocks', 'Jian Hui Li', 'Koichi Yamada', 'John Paul Shen'] ['intel.com', 'cmu.edu', 'sv.cmu.edu']\n",
      "1533 https://openreview.net/forum?id=BkxgbhCqtQ\n",
      "['Bastiaan S. Veeling', 'Rianne van den Berg'] ['gmail.com']\n",
      "1534 https://openreview.net/forum?id=B1lxH20qtX\n",
      "['Deepak Pathak', 'Chris Lu', 'Trevor Darrell', 'Philip Isola', 'Alexei A. Efros'] ['gmail.com', 'eecs.berkeley.edu', 'berkeley.edu']\n",
      "1535 https://openreview.net/forum?id=S1gWz2CcKX\n",
      "['Joseph Suarez', 'Yilun Du', 'Phillip Isola', 'Igor Mordatch'] ['openai.com', 'gmail.com', 'mit.edu', 'stanford.edu']\n",
      "1536 https://openreview.net/forum?id=HJglg2A9FX\n",
      "['Yanyao Shen', 'Sujay Sanghavi'] ['utexas.edu', 'mail.utexas.edu']\n",
      "1537 https://openreview.net/forum?id=BkNUFjR5KQ\n",
      "['Yiqun Duan'] ['gmail.com']\n",
      "1538 https://openreview.net/forum?id=r1lyTjAqYX\n",
      "['Steven Kapturowski', 'Georg Ostrovski', 'John Quan', 'Remi Munos', 'Will Dabney'] ['google.com']\n",
      "1539 https://openreview.net/forum?id=Hkx-ii05FQ\n",
      "['Uri Patish', 'Shimon Ullman'] ['gmail.com']\n",
      "1540 https://openreview.net/forum?id=HklKui0ct7\n",
      "['Yuan Xie', 'Boyi Liu', 'Qiang Liu', 'Zhaoran Wang', 'Yuan Zhou', 'Jian Peng'] ['u.northwestern.edu', 'illinois.edu', 'cs.utexas.edu', 'umail.iu.edu', 'gmail.com', 'iu.edu']\n",
      "1541 https://openreview.net/forum?id=HJgyAoRqFQ\n",
      "['Michael C. Mozer', 'Denis Kazakov', 'Robert V. Lindsey'] ['colorado.edu', 'imagen.ai']\n",
      "1542 https://openreview.net/forum?id=BJlSQnR5t7\n",
      "['Luc Giffon', 'Hachem Kadri', 'Stéphane Ayache', 'Thierry Artières'] ['lis-lab.fr']\n",
      "1543 https://openreview.net/forum?id=SygONjRqKm\n",
      "['Sotirios Chatzis', 'Kyriacos Tolias', 'Aristotelis Charalampous'] ['edu.cut.ac.cy', 'cut.ac.cy']\n",
      "1544 https://openreview.net/forum?id=ByftGnR9KX\n",
      "['Hsin-Yuan Huang', 'Eunsol Choi', 'Wen-tau Yih'] ['caltech.edu', 'cs.washington.edu', 'allenai.org']\n",
      "1545 https://openreview.net/forum?id=HklnzhR9YQ\n",
      "['Kenta Oono', 'Taiji Suzuki'] ['gmail.com', 'mist.i.u-tokyo.ac.jp']\n",
      "1546 https://openreview.net/forum?id=HkzyX3CcFQ\n",
      "['Siming Yan*', 'Bowen Xiao*', 'Yimeng Zhang', 'Tai Sing Lee'] ['andrew.cmu.edu', 'gmail.com', 'pku.edu.cn']\n",
      "1547 https://openreview.net/forum?id=HJMjW3RqtX\n",
      "['Tom Le Paine', 'Sergio Gomez', 'Ziyu Wang', 'Scott Reed', 'Yusuf Aytar', 'Tobias Pfaff', 'Matt Hoffman', 'Gabriel Barth-Maron', 'Serkan Cabi', 'David Budden', 'Nando de Freitas'] ['google.com']\n",
      "1548 https://openreview.net/forum?id=H1xAH2RqK7\n",
      "['Chong Huang', 'Xiao Chen', 'Peter Kairouz', 'Lalitha Sankar', 'Ram Rajagopal'] ['asu.edu', 'stanford.edu']\n",
      "1549 https://openreview.net/forum?id=SkgQBn0cF7\n",
      "['Nan Rosemary Ke', 'Amanpreet Singh', 'Ahmed Touati', 'Anirudh Goyal', 'Yoshua Bengio', 'Devi Parikh', 'Dhruv Batra'] ['gatech.edu', 'gmail.com', 'umontreal.ca', 'fb.com']\n",
      "1550 https://openreview.net/forum?id=SyMhLo0qKQ\n",
      "['Damian Leśniak', 'Igor Sieradzki', 'Igor Podolak'] ['doctoral.uj.edu.pl', 'uj.edu.pl']\n",
      "1551 https://openreview.net/forum?id=B1MbDj0ctQ\n",
      "['Philip Becker-Ehmck', 'Jan Peters', 'Patrick van der Smagt'] ['ias.tu-darmstadt.de', 'volkswagen.de']\n",
      "1552 https://openreview.net/forum?id=r1NJqsRctX\n",
      "['Raza Habib', 'David Barber'] ['cs.ucl.ac.uk', 'ucl.ac.uk']\n",
      "1553 https://openreview.net/forum?id=S1lCbhAqKX\n",
      "['Youzhi Tian', 'Zhiting Hu', 'Zhou Yu'] ['cs.cmu.edu', 'ucdavis.edu']\n",
      "1554 https://openreview.net/forum?id=r14Aas09Y7\n",
      "['Chieh Hubert Lin', 'Chia-Che Chang', 'Yu-Sheng Chen', 'Da-Cheng Juan', 'Wei Wei', 'Hwann-Tzong Chen'] ['gmail.com', 'cs.nthu.edu.tw', 'cmlab.csie.ntu.edu.tw', 'google.com']\n",
      "1555 https://openreview.net/forum?id=ryxwJhC9YX\n",
      "['Sangwoo Mo', 'Minsu Cho', 'Jinwoo Shin'] ['kaist.ac.kr', 'postech.ac.kr']\n",
      "1556 https://openreview.net/forum?id=r1xlvi0qYm\n",
      "['Hung Le', 'Truyen Tran', 'Svetha Venkatesh'] ['deakin.edu.au']\n",
      "1557 https://openreview.net/forum?id=r1f78iAcFm\n",
      "['Kien Do', 'Truyen Tran', 'Svetha Venkatesh'] ['deakin.edu.au']\n",
      "1558 https://openreview.net/forum?id=rkgfWh0qKX\n",
      "['Trieu H. Trinh', 'Quoc V. Le'] ['google.com']\n",
      "1559 https://openreview.net/forum?id=HyMRaoAqKX\n",
      "['Alireza Makhzani'] ['gmail.com']\n",
      "1560 https://openreview.net/forum?id=B1g29oAqtm\n",
      "['William Whitney', 'Rob Fergus'] ['gmail.com', 'cs.nyu.edu']\n",
      "1561 https://openreview.net/forum?id=H1x1noAqKX\n",
      "['Petra Bevandić', 'Siniša Šegvić', 'Ivan Krešo', 'Marin Oršić'] ['fer.hr']\n",
      "1562 https://openreview.net/forum?id=HJeQbnA5tm\n",
      "['Julius Kunze', 'Louis Kirsch', 'Hippolyt Ritter', 'David Barber'] ['louiskirsch.com', 'gmail.com', 'cs.ucl.ac.uk']\n",
      "1563 https://openreview.net/forum?id=r1ez_sRcFQ\n"
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      "['Jiacang Ho', 'Dae-Ki Kang'] ['dongseo.ac.kr', 'hotmail.com']\n",
      "1564 https://openreview.net/forum?id=BkxkH30cFm\n",
      "['Guangxiang Zhu', 'Jianhao Wang', 'ZhiZhou Ren', 'Chongjie Zhang'] ['mails.tsinghua.edu.cn', 'tsinghua.edu.cn', 'outlook.com']\n",
      "1565 https://openreview.net/forum?id=ByGuynAct7\n",
      "['Andrei Atanov', 'Arsenii Ashukha', 'Kirill Struminsky', 'Dmitriy Vetrov', 'Max Welling'] ['uva.nl', 'gmail.com', 'yandex.ru']\n",
      "1566 https://openreview.net/forum?id=Byf5-30qFX\n",
      "['Meng Fang', 'Cheng Zhou', 'Bei Shi', 'Boqing Gong', 'Jia Xu', 'Tong Zhang'] ['cs.wisc.edu', 'gmail.com', 'tongzhang-ml.org', 'outlook.com']\n",
      "1567 https://openreview.net/forum?id=Syl8Sn0cK7\n",
      "['Xujie Si', 'Yuan Yang', 'Hanjun Dai', 'Mayur Naik', 'Le Song'] ['cis.upenn.edu', 'cc.gatech.edu', 'gatech.edu']\n",
      "1568 https://openreview.net/forum?id=B1MB5oRqtQ\n",
      "['Dmitry Kangin', 'Nicolas Pugeault'] ['exeter.ac.uk']\n",
      "1569 https://openreview.net/forum?id=S1fcnoR9K7\n",
      "['Léonard Blier', 'Pierre Wolinski', 'Yann Ollivier'] ['u-psud.fr', 'fb.com']\n",
      "1570 https://openreview.net/forum?id=BJxRVnC5Fm\n",
      "['Utku Evci', 'Nicolas Le Roux', 'Pablo Castro', 'Leon Bottou'] ['bottou.org', 'le-roux.name', 'google.com']\n",
      "1571 https://openreview.net/forum?id=ryxeB30cYX\n",
      "['Wonjun Yoon', 'Jisuk Park', 'Daeshik Kim'] ['kaist.ac.kr']\n",
      "1572 https://openreview.net/forum?id=HyxBpoR5tm\n",
      "['Kevin Roth', 'Aurelien Lucchi', 'Sebastian Nowozin', 'Thomas Hofmann'] ['inf.ethz.ch', 'microsoft.com']\n",
      "1573 https://openreview.net/forum?id=r1lM_sA5Fm\n",
      "['Tom Hosking', 'Sebastian Riedel'] ['gmail.com', 'ucl.ac.uk']\n",
      "1574 https://openreview.net/forum?id=rJlk6iRqKX\n",
      "['Minhao Cheng', 'Thong Le', 'Pin-Yu Chen', 'Huan Zhang', 'JinFeng Yi', 'Cho-Jui Hsieh'] ['ibm.com', 'ucla.edu', 'huan-zhang.com', 'ucdavis.edu', 'jd.com', 'cs.ucla.edu']\n",
      "1575 https://openreview.net/forum?id=Hygv0sC5F7\n",
      "['Tengyu Xu', 'Yi Zhou', 'Kaiyi Ji', 'Yingbin Liang'] ['osu.edu']\n",
      "1576 https://openreview.net/forum?id=H1emus0qF7\n",
      "['Ofir Nachum', 'Shixiang Gu', 'Honglak Lee', 'Sergey Levine'] ['eecs.berkeley.edu', 'google.com']\n",
      "1577 https://openreview.net/forum?id=rkGG6s0qKQ\n",
      "['Karol Kurach', 'Mario Lucic', 'Xiaohua Zhai', 'Marcin Michalski', 'Sylvain Gelly'] ['gmail.com', 'google.com']\n",
      "1578 https://openreview.net/forum?id=HJfSEnRqKQ\n",
      "['Peiyun Hu', 'Zachary C. Lipton', 'Anima Anandkumar', 'Deva Ramanan'] ['caltech.edu', 'cs.cmu.edu', 'cmu.edu']\n"
     ]
    }
   ],
   "source": [
    "session = webdriver.Chrome()\n",
    "start_location = len(papers)\n",
    "\n",
    "idx = start_location\n",
    "while idx < len(paper_links):\n",
    "    link = paper_links[idx]\n",
    "    print(len(papers.items()), link)\n",
    "    data = {}\n",
    " \n",
    "    session.get(link)\n",
    "    time.sleep(2)\n",
    "\n",
    "    def update_non_comments():\n",
    "        title = session.find_element_by_css_selector('div.title_pdf_row > h2 > a:nth-child(1)').get_attribute('text')\n",
    "        abstract = session.find_element_by_css_selector('#content > div:nth-child(1) > div.note_contents > span.note_content_value').get_attribute('innerHTML')\n",
    "        \n",
    "        data['title'] = title\n",
    "        data['abstract'] = abstract\n",
    "        authors = session.find_element_by_css_selector('.signatures').find_elements_by_css_selector('a')\n",
    "        data['authors'] = [i.get_attribute('innerText') for i in authors]\n",
    "        data['emails'] = [i.get_attribute('data-original-title') for i in authors]\n",
    "        data['emails'] = list(set([i[i.find('@')+1:] for i in data['emails']]))\n",
    "        print(data['authors'], data['emails'])\n",
    "        papers[link] = data\n",
    "    \n",
    "    comment_CSS = '#note_children > div.note_with_children'\n",
    "    try:\n",
    "        WebDriverWait(session, 30).until(\n",
    "            lambda session: len(session.find_elements_by_css_selector(comment_CSS)) >=1)\n",
    "    except:\n",
    "        if len(session.find_elements_by_css_selector('.spinner')) == 1:\n",
    "            continue\n",
    "        elif session.current_url =='https://openreview.net/':\n",
    "            continue\n",
    "        elif '502' in session.title:\n",
    "            continue\n",
    "        elif '404' in session.title:\n",
    "            idx += 1\n",
    "            continue\n",
    "        else:\n",
    "            idx += 1\n",
    "            update_non_comments()\n",
    "            continue\n",
    "    comments = session.find_elements_by_css_selector(comment_CSS)\n",
    "    comment_vals = []\n",
    "    for comment in comments:\n",
    "        sections = comment.find_elements_by_css_selector('.note_contents')\n",
    "        section_vals = {}\n",
    "        for section in sections:\n",
    "            field = section.find_element_by_css_selector('.note_content_field')\n",
    "            field = field.get_attribute('innerHTML').strip()\n",
    "            content = section.find_element_by_css_selector('.note_content_value')\n",
    "            content = content.get_attribute('innerHTML').strip()\n",
    "            section_vals[field] = content\n",
    "        comment_vals.append(section_vals)\n",
    "    update_non_comments()\n",
    "    data['comments'] = comment_vals\n",
    "    \n",
    "    papers[link] = data \n",
    "    idx += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1579\n"
     ]
    }
   ],
   "source": [
    "print(len(papers))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1579 1579\n"
     ]
    }
   ],
   "source": [
    "import copy\n",
    "scraped_papers = copy.deepcopy(papers)\n",
    "print(len(papers), idx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "papers = copy.deepcopy(scraped_papers)\n",
    "for paper in list(papers.values()):\n",
    "    if 'comments' not in paper:\n",
    "        continue\n",
    "    for idx in range(len(paper['comments'])):\n",
    "        comment = paper['comments'][idx]\n",
    "        comment = {k.strip(': '): v for k,v in comment.items()}\n",
    "        if 'Rating' in comment:\n",
    "            comment['Rating'] = re.search(r'^\\d+', comment['Rating']).group()\n",
    "        if 'Confidence' in comment:\n",
    "            comment['Confidence'] = re.search(r'^\\d+', comment['Confidence']).group()\n",
    "        else:\n",
    "            comment['Confidence'] = '4'\n",
    "        paper['comments'][idx] = comment\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1558\n",
      "8.91,GENERATING HIGH FIDELITY IMAGES WITH SUBSCALE PIXEL NETWORKS AND MULTIDIMENSIONAL UPSCALING,(7, 10, 9),(3, 5, 3)\n",
      "8.79,ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA,(10, 7, 9),(5, 4, 5)\n",
      "8.50,Benchmarking Neural Network Robustness to Common Corruptions and Perturbations,(7, 9, 9),(3, 5, 4)\n",
      "8.33,On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training,(9, 8, 8),(4, 4, 4)\n",
      "8.20,Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow,(6, 10, 8),(3, 4, 3)\n",
      "8.09,Large Scale GAN Training for High Fidelity Natural Image Synthesis,(8, 7, 9),(4, 3, 4)\n",
      "8.09,Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks,(9, 7, 8),(4, 3, 4)\n",
      "8.08,Slimmable Neural Networks,(8, 9, 7),(4, 5, 4)\n",
      "8.08,An Empirical Study of Example Forgetting during Deep Neural Network Learning,(9, 8, 7),(5, 4, 4)\n",
      "8.00,BA-Net: Dense Bundle Adjustment Networks,(9, 7, 8),(4, 4, 4)\n",
      "8.00,Pay Less Attention with Lightweight and Dynamic Convolutions,(8, 8, 8),(4, 4, 4)\n",
      "8.00,Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer,(7, 8, 9),(4, 3, 4)\n",
      "8.00,Posterior Attention Models for Sequence to Sequence Learning,(8, 9, 7),(5, 4, 4)\n",
      "8.00,Meta-Learning Update Rules for Unsupervised Representation Learning,(8, 8, 8),(4, 3, 3)\n",
      "8.00,Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset,(8, 8, 8),(5, 2, 4)\n",
      "8.00,A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs,(8, 8, 8),(5, 5, 3)\n",
      "8.00,Unsupervised Learning of the Set of Local Maxima,(8, 8, 8),(3, 4, 3)\n",
      "8.00,SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY,(8, 7, 9),(5, 4, 4)\n",
      "8.00,Near-Optimal Representation Learning for Hierarchical Reinforcement Learning,(8, 9, 7),(3, 5, 5)\n",
      "7.92,Temporal Difference Variational Auto-Encoder,(8, 9, 7),(4, 4, 5)\n",
      "7.89,Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware,(7, 7, 9),(3, 2, 4)\n",
      "7.89,Automatically Composing Representation Transformations as a Means for Generalization,(7, 9, 7),(2, 4, 3)\n",
      "7.73,Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks,(8, 8, 7),(4, 4, 3)\n",
      "7.71,A2BCD: Asynchronous Acceleration with Optimal Complexity,(7, 7, 9),(4, 5, 5)\n",
      "7.70,Smoothing the Geometry of Probabilistic Box Embeddings,(8, 8, 7),(3, 4, 3)\n",
      "7.67,Composing Complex Skills by Learning Transition Policies,(7, 9, 7),(4, 4, 4)\n",
      "7.67,Lagging Inference Networks and Posterior Collapse in Variational Autoencoders,(7, 8, 8),(4, 4, 4)\n",
      "7.67,The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks,(5, 9, 9),(4, 4, 4)\n",
      "7.67,ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness,(7, 8, 8),(4, 4, 4)\n",
      "7.67,Sparse Dictionary Learning by Dynamical Neural Networks,(6, 9, 8),(4, 4, 4)\n",
      "7.67,Adaptive Input Representations for Neural Language Modeling,(7, 8, 8),(4, 4, 4)\n",
      "7.67,Supervised Community Detection with Line Graph Neural Networks,(6, 9, 8),(4, 4, 4)\n",
      "7.67,KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks,(6, 10, 7),(4, 4, 4)\n",
      "7.64,Kernel Change-point Detection with Auxiliary Deep Generative Models,(8, 8, 7),(3, 4, 4)\n",
      "7.64,Towards Robust, Locally Linear Deep Networks,(8, 8, 7),(4, 3, 4)\n",
      "7.62,Dimensionality Reduction for Representing the Knowledge of Probabilistic Models,(6, 7, 9),(1, 4, 3)\n",
      "7.60,A Variational Inequality Perspective on Generative Adversarial Networks,(8, 8, 7),(3, 3, 4)\n",
      "7.59,Exploration by random network distillation,(4, 9, 10, 7),(4, 5, 4, 4)\n",
      "7.56,Robustness May Be at Odds with Accuracy,(8, 7, 8),(3, 4, 2)\n",
      "7.56,Learning Self-Imitating Diverse Policies,(8, 6, 8),(3, 2, 4)\n",
      "7.55,Learning Robust Representations by Projecting Superficial Statistics Out,(7, 7, 9),(4, 4, 3)\n",
      "7.54,Critical Learning Periods in Deep Networks,(9, 8, 6),(4, 4, 5)\n",
      "7.50,Large-Scale Study of Curiosity-Driven Learning,(6, 9, 7),(4, 5, 3)\n",
      "7.50,Learning deep representations by mutual information estimation and maximization,(7, 7, 9),(5, 4, 3)\n",
      "7.50,Identifying and Controlling Important Neurons in Neural Machine Translation,(7, 10, 6),(3, 3, 4)\n",
      "7.50,Diffusion Scattering Transforms on Graphs,(6, 9, 7),(4, 5, 3)\n",
      "7.50,Learning to Schedule Communication in Multi-agent Reinforcement Learning,(7, 8, 7),(3, 5, 2)\n",
      "7.46,Biologically-Plausible Learning Algorithms Can Scale to Large Datasets,(9, 9, 4),(5, 4, 4)\n",
      "7.46,The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision,(7, 6, 9),(4, 4, 5)\n",
      "7.45,Diagnosing and Enhancing VAE Models,(9, 6, 7),(4, 3, 4)\n",
      "7.45,Evaluating Robustness of Neural Networks with Mixed Integer Programming,(7, 8, 7),(5, 5, 1)\n",
      "7.45,ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech,(9, 6, 7),(4, 3, 4)\n",
      "7.44,Recurrent Experience Replay in Distributed Reinforcement Learning,(7, 7, 8),(3, 2, 4)\n",
      "7.43,On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data,(7, 8, 8, 7),(4, 3, 3, 4)\n",
      "7.40,Small nonlinearities in activation functions create bad local minima in neural networks,(7, 7, 8),(3, 3, 4)\n",
      "7.40,Efficient Training on Very Large Corpora via Gramian Estimation,(7, 8, 7),(4, 4, 2)\n",
      "7.36,Learning protein sequence embeddings using information from structure,(7, 7, 8),(4, 3, 4)\n",
      "7.36,Diversity is All You Need: Learning Skills without a Reward Function,(8, 7, 7),(4, 3, 4)\n",
      "7.36,GAN Dissection: Visualizing and Understanding Generative Adversarial Networks,(7, 7, 8),(3, 4, 4)\n",
      "7.36,Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering,(8, 7, 7),(4, 4, 3)\n",
      "7.36,Learning to Remember More with Less Memorization,(7, 8, 7),(3, 4, 4)\n",
      "7.36,InstaGAN: Instance-aware Image-to-Image Translation,(7, 8, 7),(4, 5, 5)\n",
      "7.33,Learning to Navigate the Web,(7, 8, 7),(3, 3, 3)\n",
      "7.33,Variance Reduction for Reinforcement Learning in Input-Driven Environments,(7, 9, 6),(4, 4, 4)\n",
      "7.33,Dynamic Sparse Graph for Efficient Deep Learning,(8, 7, 7),(3, 2, 4)\n",
      "7.33,ProMP: Proximal Meta-Policy Search,(6, 7, 9),(3, 3, 3)\n",
      "7.33,How Powerful are Graph Neural Networks?,(7, 7, 8),(5, 5, 5)\n",
      "7.33,No Training Required: Exploring Random Encoders for Sentence Classification,(7, 7, 8),(4, 4, 4)\n",
      "7.33,LanczosNet: Multi-Scale Deep Graph Convolutional Networks,(7, 7, 8),(3, 5, 4)\n",
      "7.33,Time-Agnostic Prediction: Predicting Predictable Video Frames,(7, 8, 7),(3, 4, 5)\n",
      "7.33,Label super-resolution networks,(7, 6, 9),(4, 4, 4)\n",
      "7.33,Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control,(8, 7, 7),(5, 5, 5)\n",
      "7.31,Towards Metamerism via Foveated Style Transfer,(7, 8, 7),(4, 4, 5)\n",
      "7.31,Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion,(8, 7, 7),(4, 5, 4)\n",
      "7.31,Deep Frank-Wolfe For Neural Network Optimization,(7, 7, 8),(5, 4, 4)\n",
      "7.29,Quaternion Recurrent Neural Networks,(8, 7, 7),(4, 5, 5)\n",
      "7.27,Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning,(8, 7, 7),(3, 4, 4)\n",
      "7.27,Transferring Knowledge across Learning Processes,(6, 8, 8),(4, 4, 3)\n",
      "7.25,Approximability of Discriminators Implies Diversity in GANs,(8, 7, 7),(2, 3, 3)\n",
      "7.23,Gradient descent aligns the layers of deep linear networks,(7, 9, 6),(4, 4, 5)\n",
      "7.22,Detecting Egregious Responses in Neural Sequence-to-sequence Models,(7, 7, 8),(4, 3, 2)\n",
      "7.20,Learning Localized Generative Models for 3D Point Clouds via Graph Convolution,(9, 6, 7),(3, 4, 3)\n",
      "7.20,Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors,(7, 8, 7),(5, 2, 3)\n",
      "7.20,Meta-Learning Probabilistic Inference for Prediction,(7, 6, 8),(4, 2, 4)\n",
      "7.20,Episodic Curiosity through Reachability,(7, 8, 6, 8),(4, 4, 4, 3)\n",
      "7.20,SOM-VAE: Interpretable Discrete Representation Learning on Time Series,(9, 6, 6),(4, 2, 4)\n",
      "7.20,On Computation and Generalization of Generative Adversarial Networks under Spectrum Control,(8, 6, 7),(4, 2, 4)\n",
      "7.18,Probabilistic Neural-Symbolic Models for Interpretable Visual Question Answering,(8, 6, 7),(5, 3, 3)\n",
      "7.17,Variational Autoencoders with Jointly Optimized Latent Dependency Structure,(7, 6, 8),(4, 3, 5)\n",
      "7.17,Knowledge Flow: Improve Upon Your Teachers,(6, 8, 7),(3, 5, 4)\n",
      "7.17,Adversarial Domain Adaptation for Stable Brain-Machine Interfaces,(9, 5, 7),(4, 3, 5)\n",
      "7.15,Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution,(6, 8, 7),(3, 5, 5)\n",
      "7.14,Stable Opponent Shaping in Differentiable Games,(8, 6, 6),(4, 2, 1)\n",
      "7.12,Learning concise representations for regression by evolving networks of trees,(7, 6, 8),(1, 3, 4)\n",
      "7.10,DARTS: Differentiable Architecture Search,(6, 7, 8),(2, 5, 3)\n",
      "7.10,Stochastic Optimization of Sorting Networks via Continuous Relaxations,(8, 7, 6),(4, 3, 3)\n",
      "7.10,Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors,(8, 8, 5),(3, 4, 3)\n",
      "7.10,A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery,(8, 7, 6),(4, 3, 3)\n",
      "7.10,signSGD via Zeroth-Order Oracle,(8, 7, 6),(3, 5, 2)\n",
      "7.10,Deep Layers as Stochastic Solvers,(7, 7, 8),(4, 5, 1)\n",
      "7.09,Learning to Screen for Fast Softmax  Inference on Large Vocabulary Neural Networks,(7, 6, 8),(4, 3, 4)\n",
      "7.09,Optimal Control Via Neural Networks: A Convex Approach,(6, 8, 7),(3, 4, 4)\n",
      "7.09,An analytic theory of generalization dynamics and transfer learning in deep linear networks,(8, 7, 6),(4, 4, 3)\n",
      "7.09,Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces,(6, 7, 8),(3, 4, 4)\n",
      "7.09,Learning Neural PDE Solvers with Convergence Guarantees,(7, 8, 6),(4, 4, 3)\n",
      "7.08,K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning,(7, 6, 8),(5, 3, 4)\n",
      "7.08,Unsupervised Domain Adaptation for Distance Metric Learning,(8, 5, 8),(5, 4, 4)\n",
      "7.08,StrokeNet: A Neural Painting Environment,(7, 8, 6),(4, 5, 4)\n",
      "7.08,Self-Monitoring Navigation Agent via Auxiliary Progress Estimation,(8, 6, 7),(5, 4, 4)\n",
      "7.08,LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos,(8, 5, 8),(4, 4, 5)\n",
      "7.00,Information-Directed Exploration for Deep Reinforcement Learning,(7, 7, 7),(4, 3, 4)\n",
      "7.00,Integer Networks for Data Compression with Latent-Variable Models,(6, 7, 8),(3, 3, 3)\n",
      "7.00,Hindsight policy gradients,(7, 7, 7),(4, 4, 4)\n",
      "7.00,Theoretical Analysis of Auto Rate-Tuning by Batch Normalization,(7, 7, 7),(2, 2, 4)\n",
      "7.00,Feature Intertwiner for Object Detection,(5, 9, 7),(4, 4, 3)\n",
      "7.00,G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space,(7, 7, 7),(2, 3, 4)\n",
      "7.00,Neural network gradient-based learning of black-box function interfaces,(7, 7, 7),(3, 3, 3)\n",
      "7.00,Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking,(7, 7, 7),(4, 3, 4)\n",
      "7.00,Are adversarial examples inevitable?,(7, 8, 6),(4, 4, 4)\n",
      "7.00,Learning Recurrent Binary/Ternary Weights,(6, 8, 7),(3, 3, 4)\n",
      "7.00,Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching,(7, 7, 7),(4, 4, 4)\n",
      "7.00,Visual Semantic Navigation using Scene Priors,(7, 7, 7),(1, 3, 4)\n",
      "7.00,ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks,(8, 6, 7),(4, 4, 3)\n",
      "7.00,Eidetic 3D LSTM: A Model for Video Prediction and Beyond,(7, 7, 7),(5, 4, 4)\n",
      "7.00,Learning a SAT Solver from Single-Bit Supervision,(7, 7, 7),(3, 4, 3)\n",
      "7.00,Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search,(7, 7, 7),(2, 3, 3)\n",
      "7.00,Generating Multiple Objects at Spatially Distinct Locations,(6, 8, 7),(4, 4, 4)\n",
      "7.00,Differentiable Learning-to-Normalize via Switchable Normalization,(7, 7, 7),(3, 4, 5)\n",
      "7.00,Deep Graph Infomax,(9, 5, 7),(4, 4, 3)\n",
      "7.00,Deterministic Variational Inference for Robust Bayesian Neural Networks,(7, 7, 7),(3, 3, 5)\n",
      "7.00,Multilingual Neural Machine Translation with Knowledge Distillation,(7, 7, 7),(3, 4, 4)\n",
      "7.00,NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning,(8, 6, 7),(3, 3, 3)\n",
      "7.00,Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL,(7, 7, 7),(3, 3, 3)\n",
      "7.00,The Laplacian in RL: Learning Representations with Efficient Approximations,(7, 7, 7),(3, 3, 4)\n",
      "7.00,RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks,(7, 7, 7),(2, 4, 3)\n",
      "7.00,How Important is a Neuron,(7, 7, 7),(4, 2, 5)\n",
      "7.00,Generative Code Modeling with Graphs,(7, 7, 7),(4, 4, 5)\n",
      "7.00,Representation Degeneration Problem in Training Natural Language Generation Models,(7, 7, 7),(3, 3, 4)\n",
      "7.00,AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods,(6, 6, 9),(4, 4, 4)\n",
      "7.00,GANSynth: Adversarial Neural Audio Synthesis,(6, 7, 8),(3, 4, 3)\n",
      "7.00,GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding,(7, 5, 8),(1, 2, 4)\n",
      "7.00,On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks,(7, 6, 8),(3, 3, 3)\n",
      "7.00,Learning Implicitly Recurrent CNNs Through Parameter Sharing,(8, 7, 6),(4, 3, 4)\n",
      "7.00,Solving the Rubik's Cube with Approximate Policy Iteration,(7, 7, 7),(4, 4, 3)\n",
      "7.00,Relaxed Quantization for Discretized Neural Networks,(7, 7, 7),(4, 3, 4)\n",
      "7.00,Deep, Skinny Neural Networks are not Universal Approximators,(6, 8, 7),(4, 4, 4)\n",
      "7.00,RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space,(7, 7, 7),(3, 4, 4)\n",
      "7.00,textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR,(7, 8, 6),(4, 4, 4)\n",
      "7.00,Riemannian Adaptive Optimization Methods,(7, 7, 7),(3, 5, 4)\n",
      "7.00,The role of over-parametrization in generalization of neural networks,(7, 7, 7),(3, 5, 3)\n",
      "7.00,Generative Question Answering: Learning to Answer the Whole Question,(7, 6, 8),(4, 4, 4)\n",
      "7.00,Execution-Guided Neural Program Synthesis,(7, 7, 7),(2, 4, 5)\n",
      "7.00,A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks,(7, 7, 7),(4, 5, 4)\n",
      "7.00,What do you learn from context? Probing for sentence structure in contextualized word representations,(7, 7, 7),(4, 4, 4)\n",
      "7.00,Modeling Uncertainty with Hedged Instance Embeddings,(7, 7, 7),(3, 3, 5)\n",
      "7.00,Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers,(7, 7, 7),(4, 3, 2)\n",
      "7.00,Function Space Particle Optimization for Bayesian Neural Networks,(7, 7, 7),(4, 3, 3)\n",
      "7.00,A Universal Music Translation Network,(8, 7, 6),(4, 4, 4)\n",
      "7.00,FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models,(7, 7, 7),(4, 4, 3)\n",
      "7.00,Learning Mixed-Curvature Representations in Product Spaces,(7, 7, 7),(2, 5, 3)\n",
      "7.00,The Comparative Power of ReLU Networks and Polynomial Kernels in the Presence of Sparse Latent Structure,(7, 7, 7),(3, 3, 3)\n",
      "7.00,Whitening and Coloring Batch Transform for GANs,(7, 7, 7),(2, 4, 4)\n",
      "7.00,DyRep: Learning Representations over Dynamic Graphs,(6, 7, 8),(4, 5, 4)\n",
      "7.00,Auxiliary Variational MCMC,(7, 7, 7),(5, 4, 4)\n",
      "7.00,The Deep Weight Prior,(6, 8, 7),(4, 4, 3)\n",
      "7.00,Learning a Meta-Solver for Syntax-Guided Program Synthesis,(7, 7, 7),(4, 5, 2)\n",
      "6.93,Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference,(6, 8, 7),(5, 4, 5)\n",
      "6.93,Local SGD Converges Fast and Communicates Little,(8, 5, 8),(5, 5, 4)\n",
      "6.92,Wizard of Wikipedia: Knowledge-Powered Conversational Agents,(7, 6, 8),(4, 5, 4)\n",
      "6.92,On the loss landscape of a class of deep neural networks with no bad local valleys,(7, 8, 6),(4, 4, 5)\n",
      "6.92,Subgradient Descent Learns Orthogonal Dictionaries,(7, 7, 7, 7, 6),(2, 3, 4, 3, 1)\n",
      "6.92,Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach,(6, 8, 7),(5, 4, 3)\n",
      "6.91,Quasi-hyperbolic momentum and Adam for deep learning,(7, 6, 8),(4, 4, 3)\n",
      "6.90,Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids,(8, 6, 7),(3, 4, 3)\n",
      "6.89,There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average,(6, 8, 6),(4, 4, 1)\n",
      "6.89,Learning to Design RNA,(6, 6, 8),(4, 1, 4)\n",
      "6.89,Learning sparse relational transition models,(6, 7, 8),(4, 2, 3)\n",
      "6.86,Invariant and Equivariant Graph Networks,(8, 4, 9),(5, 5, 4)\n",
      "6.86,A Mean Field Theory of Batch Normalization,(7, 6, 7),(3, 1, 3)\n",
      "6.86,Unsupervised Learning via Meta-Learning,(7, 6, 8, 6),(4, 3, 4, 3)\n",
      "6.85,Detecting Memorization in ReLU Networks,(5, 6, 9),(4, 4, 5)\n",
      "6.85, Reasoning About Physical Interactions with Object-Oriented Prediction and Planning,(5, 7, 9),(5, 4, 4)\n",
      "6.83,A Statistical Approach to Assessing Neural Network Robustness,(6, 7, 8),(5, 4, 3)\n",
      "6.83,Practical lossless compression with latent variables using bits back coding,(6, 6, 8),(4, 3, 5)\n",
      "6.83,Improving MMD-GAN Training with Repulsive Loss Function,(6, 7, 7),(2, 5, 5)\n",
      "6.82,Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling,(5, 7, 8),(3, 4, 4)\n",
      "6.82,Metropolis-Hastings view on variational inference and adversarial training,(5, 6, 9),(3, 4, 4)\n",
      "6.82,Padam: Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks,(6, 6, 9),(4, 4, 3)\n",
      "6.80,Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder,(8, 7, 5),(4, 3, 3)\n",
      "6.80,Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods,(6, 8, 6),(4, 4, 2)\n",
      "6.80,Universal Transformers,(6, 6, 8),(4, 2, 4)\n",
      "6.79,Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience,(8, 7, 7, 5),(5, 2, 3, 4)\n",
      "6.79,Initialized Equilibrium Propagation for Backprop-Free Training,(5, 8, 7),(4, 5, 5)\n",
      "6.78,Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning,(8, 6, 7),(2, 4, 3)\n",
      "6.78,Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters,(7, 6, 7),(4, 2, 3)\n",
      "6.75,Context-adaptive Entropy Model for End-to-end Optimized Image Compression,(7, 7, 6),(4, 5, 3)\n",
      "6.75,CEM-RL: Combining evolutionary and gradient-based methods for policy search,(6, 7, 7),(3, 4, 5)\n",
      "6.73,Meta-Learning For Stochastic Gradient MCMC,(7, 7, 6),(4, 4, 3)\n",
      "6.73,Detecting Adversarial Examples Via Neural Fingerprinting,(5, 9, 6),(4, 4, 3)\n",
      "6.73,ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees,(6, 5, 9),(3, 4, 4)\n",
      "6.73,Optimal Completion Distillation for Sequence Learning,(7, 7, 6),(4, 4, 3)\n",
      "6.73,Disjoint Mapping Network for Cross-modal Matching of Voices and Faces,(7, 6, 7),(4, 3, 4)\n",
      "6.73,Residual Non-local Attention Networks for Image Restoration,(7, 7, 6),(5, 3, 3)\n",
      "6.73,Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer,(7, 7, 6),(4, 4, 3)\n",
      "6.73,Learning Finite State Representations of Recurrent Policy Networks,(6, 7, 7),(3, 3, 5)\n",
      "6.73,Learning to Make Analogies by Contrasting Abstract Relational Structure,(6, 7, 7),(3, 3, 5)\n",
      "6.73,Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets,(7, 7, 6),(4, 4, 3)\n",
      "6.73,Spherical CNNs on Unstructured Grids,(6, 7, 7),(3, 3, 5)\n",
      "6.73,Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy,(6, 8, 6),(4, 4, 3)\n",
      "6.73,Active Learning with Partial Feedback,(7, 6, 7),(4, 3, 4)\n",
      "6.71,Structured Adversarial Attack:  Towards General Implementation and Better Interpretability,(7, 7, 6),(2, 3, 2)\n",
      "6.71,Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes,(7, 7, 7, 6),(3, 2, 5, 4)\n",
      "6.71,Global-to-local Memory Pointer Networks for Task-Oriented Dialogue,(8, 8, 5),(2, 2, 3)\n",
      "6.70,DISTRIBUTIONAL CONCAVITY REGULARIZATION FOR GANS,(7, 8, 6, 7),(4, 1, 4, 1)\n",
      "6.70,Towards the first adversarially robust neural network model on MNIST,(7, 7, 6),(4, 3, 3)\n",
      "6.70,ADef: an Iterative Algorithm to Construct Adversarial Deformations,(7, 7, 6),(4, 3, 3)\n",
      "6.70,Analyzing Inverse Problems with Invertible Neural Networks,(7, 6, 7),(5, 3, 2)\n",
      "6.70,AutoLoss: Learning Discrete Schedule for Alternate Optimization,(7, 6, 7),(4, 3, 3)\n",
      "6.70,Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications,(7, 6, 7),(3, 3, 4)\n",
      "6.69,Learning to Infer and Execute 3D Shape Programs,(6, 7, 7),(4, 5, 4)\n",
      "6.69,Three Mechanisms of Weight Decay Regularization,(6, 7, 7),(4, 4, 5)\n",
      "6.69,Learning to Understand Goal Specifications by Modelling Reward,(7, 7, 6),(4, 5, 4)\n",
      "6.69,Learning Multimodal Graph-to-Graph Translation for Molecule Optimization,(7, 7, 6),(4, 5, 4)\n",
      "6.69,Learning Two-layer Neural Networks with Symmetric Inputs,(7, 6, 7),(4, 4, 5)\n",
      "6.69,FlowQA: Grasping Flow in History for Conversational Machine Comprehension,(7, 6, 7),(5, 4, 4)\n",
      "6.67,Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives,(7, 7, 6),(3, 5, 4)\n",
      "6.67,Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information,(6, 6, 8),(4, 4, 4)\n",
      "6.67,On the Turing Completeness of Modern Neural Network Architectures,(6, 7, 7),(2, 2, 2)\n",
      "6.67,Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality,(8, 6, 6),(2, 2, 2)\n",
      "6.67,Policy Transfer with Strategy Optimization,(7, 7, 6),(4, 4, 4)\n",
      "6.67,Phase-Aware Speech Enhancement with Deep Complex U-Net,(6, 7, 7),(4, 4, 4)\n",
      "6.67,Trellis Networks for Sequence Modeling,(7, 6, 7),(3, 3, 3)\n",
      "6.67,Laplacian Networks: Bounding Indicator Function Smoothness for Neural Networks Robustness,(9, 5, 5),(5, 3, 4)\n",
      "6.67,Universal  Stagewise Learning for Non-Convex Problems with  Convergence on  Averaged Solutions,(8, 6, 6),(4, 4, 4)\n",
      "6.67,Attention, Learn to Solve Routing Problems!,(7, 6, 7),(5, 5, 5)\n",
      "6.67,Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs,(7, 5, 8),(4, 4, 4)\n",
      "6.67,Complement Objective Training,(5, 8, 7),(4, 4, 4)\n",
      "6.67,Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies,(6, 7, 7),(4, 5, 3)\n",
      "6.67,GO Gradient for Expectation-Based Objectives,(7, 7, 6),(4, 4, 4)\n",
      "6.67,ProxQuant: Quantized Neural Networks via Proximal Operators,(8, 7, 5),(4, 4, 4)\n",
      "6.67,Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension,(6, 7, 7),(4, 4, 4)\n",
      "6.67,Latent Convolutional Models,(6, 7, 7),(3, 2, 4)\n",
      "6.67,Defensive Quantization: When Efficiency Meets Robustness,(7, 6, 7),(4, 3, 2)\n",
      "6.67,Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images,(7, 7, 6),(4, 4, 4)\n",
      "6.67,AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks,(7, 7, 6),(5, 5, 5)\n",
      "6.67,Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet,(6, 7, 7),(4, 4, 4)\n",
      "6.67,Supervised Policy Update for Deep Reinforcement Learning,(9, 6, 6),(2, 4, 3)\n",
      "6.67,NOODL: Provable Online Dictionary Learning and Sparse Coding,(7, 6, 7),(2, 2, 2)\n",
      "6.67,Graph HyperNetworks for Neural Architecture Search,(7, 6, 7),(4, 4, 4)\n",
      "6.67,RelGAN: Relational Generative Adversarial Networks for Text Generation,(6, 8, 6),(4, 4, 4)\n",
      "6.67,Adversarial Attacks on Graph Neural Networks via Meta Learning,(7, 7, 6),(4, 4, 4)\n",
      "6.67,Contingency-Aware Exploration in Reinforcement Learning,(6, 7, 7),(3, 2, 4)\n",
      "6.67,Value Propagation Networks,(7, 6, 7),(3, 3, 3)\n",
      "6.67,Analysis of Quantized Models,(6, 7, 7),(4, 4, 4)\n",
      "6.67,Efficient Lifelong Learning with A-GEM,(7, 6, 7),(4, 4, 4)\n",
      "6.67,A Generative Model For Electron Paths,(8, 4, 8),(4, 4, 4)\n",
      "6.67,SNAS: stochastic neural architecture search,(6, 7, 7),(4, 4, 4)\n",
      "6.67,Emergent Coordination Through Competition,(7, 7, 6),(3, 3, 3)\n",
      "6.67,Predicting the Generalization Gap in Deep Networks with Margin Distributions,(5, 9, 6),(4, 4, 4)\n",
      "6.64,SPIGAN: Privileged Adversarial Learning from Simulation,(6, 7, 7),(5, 5, 4)\n",
      "6.64,Hyperbolic Attention Networks,(6, 7, 7),(5, 5, 4)\n",
      "6.64,Adaptive Posterior Learning: few-shot learning with a surprise-based memory module,(6, 7, 7),(4, 3, 4)\n",
      "6.64,Adaptive Estimators Show Information Compression in Deep Neural Networks,(7, 6, 7),(4, 4, 3)\n",
      "6.64,LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators,(7, 7, 6),(4, 3, 4)\n",
      "6.64,Do Deep Generative Models Know What They Don't Know? ,(7, 6, 7),(4, 4, 3)\n",
      "6.64,PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees,(7, 6, 7),(4, 4, 3)\n",
      "6.64,Generalized Tensor Models for Recurrent Neural Networks,(6, 7, 7),(4, 3, 4)\n",
      "6.64,Deep reinforcement learning with relational inductive biases,(6, 7, 7),(4, 3, 4)\n",
      "6.64,A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS,(5, 8, 6),(3, 5, 3)\n",
      "6.62,Recall Traces: Backtracking Models for Efficient Reinforcement Learning,(7, 7, 6),(2, 3, 3)\n",
      "6.62,Learning Factorized Multimodal Representations,(7, 7, 6),(3, 2, 3)\n",
      "6.62,On the Convergence of A Class of Adam-Type Algorithms  for Non-Convex Optimization,(7, 7, 6),(3, 2, 3)\n",
      "6.62,Deep Anomaly Detection with Outlier Exposure,(6, 6, 8),(5, 4, 4)\n",
      "6.62,MisGAN: Learning from Incomplete Data with Generative Adversarial Networks,(7, 6, 7),(4, 5, 4)\n",
      "6.62,Preconditioner on Matrix Lie Group for SGD,(8, 5, 7),(5, 5, 3)\n",
      "6.62,Diversity-Sensitive Conditional Generative Adversarial Networks,(7, 6, 7),(3, 5, 5)\n",
      "6.62,Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition,(7, 6, 7),(4, 5, 4)\n",
      "6.62,Unsupervised Control Through Non-Parametric Discriminative Rewards,(8, 5, 7),(5, 5, 3)\n",
      "6.62,Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach,(6, 6, 8),(4, 5, 4)\n",
      "6.62,Sample Efficient Adaptive Text-to-Speech,(7, 7, 6),(4, 4, 5)\n",
      "6.60,Don't let your Discriminator  be fooled,(7, 7, 6),(3, 3, 4)\n",
      "6.60,Learning what and where to attend,(6, 6, 8),(3, 4, 3)\n",
      "6.60,Principled Deep Neural Network Training through Linear Programming,(6, 6, 8),(4, 3, 3)\n",
      "6.60,Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network,(7, 6, 7),(3, 4, 3)\n",
      "6.60,Improving Generalization and Stability of Generative Adversarial Networks,(7, 7, 6),(3, 3, 4)\n",
      "6.58,Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach,(7, 6, 7),(3, 5, 4)\n",
      "6.57,DOM-Q-NET:  Grounded RL on Structured Language,(7, 7, 6),(3, 1, 3)\n",
      "6.56,Dynamic Channel Pruning: Feature Boosting and Suppression,(7, 6, 7, 6),(5, 3, 4, 4)\n",
      "6.56,L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data,(7, 7, 6),(3, 2, 4)\n",
      "6.56,The Limitations of Adversarial Training and the Blind-Spot Attack,(7, 7, 6),(3, 2, 4)\n",
      "6.56,Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm,(7, 3, 8),(3, 2, 4)\n",
      "6.55,A rotation-equivariant convolutional neural network model of primary visual cortex,(7, 5, 8),(4, 4, 3)\n",
      "6.54,From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following,(5, 5, 9),(4, 4, 5)\n",
      "6.54,Meta-Learning with Latent Embedding Optimization,(6, 5, 8),(5, 3, 5)\n",
      "6.50,CoT: Cooperative Training for Generative Modeling of Discrete Data,(7, 7, 6),(2, 2, 4)\n",
      "6.50,Toward Understanding the Impact of Staleness in Distributed Machine Learning,(4, 9, 7),(5, 4, 5)\n",
      "6.50,Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling,(7, 7, 6),(2, 2, 4)\n",
      "6.50,Learning Protein Structure with a Differentiable Simulator,(6, 7, 7, 6),(5, 5, 3, 3)\n",
      "6.50,Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability,(8, 7, 5),(2, 3, 3)\n",
      "6.50,Fluctuation-dissipation relations for stochastic gradient descent,(8, 5, 6),(5, 4, 3)\n",
      "6.50,M^3RL: Mind-aware Multi-agent Management Reinforcement Learning,(7, 6, 6),(4, 3, 1)\n",
      "6.50,Large Scale Graph Learning From Smooth Signals,(7, 5, 7),(5, 3, 4)\n",
      "6.50,CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild,(4, 8, 7),(3, 4, 3)\n",
      "6.50,Preferences Implicit in the State of the World,(6, 7, 6, 7),(4, 3, 3, 4)\n",
      "6.46,Relational Forward Models for Multi-Agent Learning,(7, 6, 7, 6),(3, 3, 3, 4)\n",
      "6.45,L2-Nonexpansive Neural Networks,(8, 6, 5),(4, 4, 3)\n",
      "6.45,A new dog learns old tricks:  RL finds classic optimization algorithms,(6, 6, 7),(3, 3, 5)\n",
      "6.45,On Tighter Generalization Bounds for Deep Neural Networks: CNNs, ResNets, and Beyond,(5, 7, 7),(3, 4, 4)\n",
      "6.45,Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision,(7, 7, 5),(4, 4, 3)\n",
      "6.45,Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation,(6, 6, 7),(4, 2, 5)\n",
      "6.45,Verification of Non-Linear Specifications for Neural Networks,(7, 5, 7),(5, 3, 3)\n",
      "6.44,PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks,(7, 6),(4, 5)\n",
      "6.44,Learning-Based Frequency Estimation Algorithms,(7, 6, 6),(4, 1, 4)\n",
      "6.43,Multi-Domain Adversarial Learning,(5, 8, 6),(4, 5, 5)\n",
      "6.42,From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference,(6, 6, 7),(3, 4, 5)\n",
      "6.42,Local Critic Training of Deep Neural Networks,(6, 6, 7),(3, 4, 5)\n",
      "6.40,Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions,(7, 6, 6),(4, 3, 3)\n",
      "6.40,Equi-normalization of Neural Networks,(7, 7, 5),(3, 4, 3)\n",
      "6.40,Preventing Posterior Collapse with delta-VAEs,(6, 7, 6),(3, 4, 3)\n",
      "6.40,Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees,(7, 6, 6),(4, 4, 2)\n",
      "6.40,NLProlog: Reasoning with Weak Unification for Natural Language Question Answering,(7, 5, 7),(3, 3, 4)\n",
      "6.40,DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder,(7, 7, 5),(4, 3, 3)\n",
      "6.40,Excessive Invariance Causes Adversarial Vulnerability,(7, 6, 6),(4, 4, 2)\n",
      "6.38,MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders,(7, 6, 6),(5, 4, 4)\n",
      "6.38,Temporal Gaussian Mixture Layer for Videos,(6, 6, 7),(3, 5, 5)\n",
      "6.38,Visual Reasoning by Progressive Module Networks,(6, 7, 6),(4, 5, 4)\n",
      "6.38,Seq2Slate: Re-ranking and Slate Optimization with RNNs,(6, 6, 7),(4, 4, 5)\n",
      "6.38,Why do deep convolutional networks generalize so poorly to small image transformations?,(7, 7, 5),(5, 4, 4)\n",
      "6.38,Neural Speed Reading with Structural-Jump-LSTM,(7, 5, 7),(5, 4, 4)\n",
      "6.38,BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning,(6, 7, 6),(4, 5, 4)\n",
      "6.38,Visceral Machines: Risk-Aversion in  Reinforcement Learning with Intrinsic Physiological Rewards,(6, 6, 7),(4, 4, 5)\n",
      "6.36,Learning what you can do before doing anything,(7, 6, 6),(4, 4, 3)\n",
      "6.36,Discriminator Rejection Sampling,(7, 6, 6),(4, 3, 4)\n",
      "6.36,Improved Gradient Estimators for Stochastic Discrete Variables,(7, 6, 6),(4, 3, 4)\n",
      "6.36,Spreading vectors for similarity search,(6, 7, 6),(3, 4, 4)\n",
      "6.36,Beyond Greedy Ranking: Slate Optimization via List-CVAE,(6, 6, 7),(4, 3, 4)\n",
      "6.36,Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks,(6, 6, 7),(4, 3, 4)\n",
      "6.36,Efficient Augmentation via Data Subsampling,(6, 7, 6),(4, 4, 3)\n",
      "6.36,Soft Q-Learning with Mutual-Information Regularization,(7, 6, 6),(4, 4, 3)\n",
      "6.36,Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds,(6, 7, 6),(3, 4, 4)\n",
      "6.36,Learning Disentangled Representations with Reference-Based Variational Autoencoders,(7, 6, 6),(4, 3, 4)\n",
      "6.36,FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS,(7, 6, 6),(4, 3, 4)\n",
      "6.36,DHER: Hindsight Experience Replay for Dynamic Goals,(6, 7, 6),(4, 4, 3)\n",
      "6.36,Rethinking the Value of Network Pruning,(6, 6, 7),(4, 5, 5)\n",
      "6.36,Diversity and Depth in Per-Example Routing Models,(7, 6, 6),(5, 4, 5)\n",
      "6.36,Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic,(6, 6, 7),(5, 4, 5)\n",
      "6.33,Remember and Forget for Experience Replay,(7, 6, 6),(3, 3, 3)\n",
      "6.33,Scalable Unbalanced Optimal Transport using Generative Adversarial Networks,(6, 7, 6),(4, 4, 4)\n",
      "6.33,Synthetic Datasets for Neural Program Synthesis,(7, 6, 6),(3, 4, 2)\n",
      "6.33,Aligning Artificial Neural Networks to the Brain yields Shallow Recurrent Architectures,(5, 7, 7),(4, 4, 4)\n",
      "6.33,Measuring Compositionality in Representation Learning,(6, 6, 7),(4, 4, 4)\n",
      "6.33,Probabilistic Planning with Sequential Monte Carlo methods,(8, 6, 5),(4, 4, 4)\n",
      "6.33,Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams,(6, 6, 7),(4, 4, 4)\n",
      "6.33,Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration,(6, 6, 7),(3, 5, 4)\n",
      "6.33,RNNs implicitly implement tensor-product representations,(7, 6, 6),(4, 4, 4)\n",
      "6.33,Direct Optimization through   for  Discrete Variational Auto-Encoder,(7, 7, 5),(4, 4, 4)\n",
      "6.33,DeepOBS: A Deep Learning Optimizer Benchmark Suite,(6, 6, 7),(4, 4, 4)\n",
      "6.33,Neural Graph Evolution: Towards Efficient Automatic Robot Design,(5, 8, 6),(4, 4, 4)\n",
      "6.33,Generating Multi-Agent Trajectories using Programmatic Weak Supervision,(7, 6, 6),(3, 3, 3)\n",
      "6.33,Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator,(6, 5, 8),(4, 4, 4)\n",
      "6.33,Empirical Bounds on Linear Regions of Deep Rectifier Networks,(6, 7, 6),(4, 4, 4)\n",
      "6.33,Revealing interpretable object representations from human behavior,(7, 7, 5),(4, 4, 4)\n",
      "6.33,Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks,(7, 6, 6),(3, 3, 3)\n",
      "6.33,Minimum Divergence vs. Maximum Margin: an Empirical Comparison on Seq2Seq Models,(5, 7, 7),(4, 4, 4)\n",
      "6.33,Variational Autoencoder with Arbitrary Conditioning,(7, 6, 6),(3, 3, 3)\n",
      "6.33,Characterizing Audio Adversarial Examples Using Temporal Dependency,(6, 6, 7),(3, 3, 3)\n",
      "6.33,Attentive Neural Processes,(6, 6, 7),(4, 4, 4)\n",
      "6.33,Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds,(6, 6, 7),(4, 4, 4)\n",
      "6.33,Kernel RNN Learning (KeRNL),(5, 7, 6),(1, 4, 4)\n",
      "6.33, The relativistic discriminator: a key element missing from standard GAN,(6, 6, 7),(2, 4, 3)\n",
      "6.33,Modeling the Long Term Future in Model-Based Reinforcement Learning,(6, 6, 7),(4, 4, 4)\n",
      "6.31,Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering,(6, 6, 7),(5, 4, 4)\n",
      "6.31,Multilingual Neural Machine Translation With Soft Decoupled Encoding,(6, 6, 7),(5, 4, 4)\n",
      "6.31,Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs,(6, 7, 6),(4, 4, 5)\n",
      "6.31,Learning To Simulate,(6, 6, 7),(4, 5, 4)\n",
      "6.31,Hierarchical Generative Modeling for Controllable Speech Synthesis,(8, 6, 5),(4, 5, 4)\n",
      "6.31,Selfless Sequential Learning,(7, 6, 6),(4, 4, 5)\n",
      "6.31,DPSNet: End-to-end Deep Plane Sweep Stereo,(7, 6, 6),(4, 5, 4)\n",
      "6.31,Feature-Wise Bias Amplification,(6, 7, 6),(4, 4, 5)\n",
      "6.30,Invariance and Inverse Stability under ReLU,(6, 6, 7),(3, 4, 3)\n",
      "6.30,Learning to Represent Edits,(7, 6, 6),(3, 3, 4)\n",
      "6.30,Hierarchical Visuomotor Control of Humanoids,(5, 8, 6),(3, 3, 4)\n",
      "6.30,Monge-Amp\\`ere Flow for Generative Modeling,(7, 6, 6),(3, 4, 3)\n",
      "6.30,Lyapunov-based Safe Policy Optimization,(6, 6, 8, 5),(2, 2, 3, 3)\n",
      "6.30,Single Shot Neural Architecture Search Via Direct Sparse Optimization,(6, 6, 7),(4, 3, 3)\n",
      "6.30,On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length,(6, 6, 7),(4, 3, 3)\n",
      "6.30,Information Theoretic lower bounds on negative log likelihood,(6, 7, 6),(3, 3, 4)\n",
      "6.30,Analysing Mathematical Reasoning Abilities of Neural Models,(7, 6, 6),(3, 3, 4)\n",
      "6.30,Multiple-Attribute Text Rewriting,(7, 6, 6),(3, 4, 3)\n",
      "6.29,Gradient Descent Provably Optimizes Over-parameterized Neural Networks,(3, 8, 8, 7),(5, 4, 4, 4)\n",
      "6.29,Competitive experience replay,(5, 7, 6, 7),(4, 4, 4, 5)\n",
      "6.29,signSGD with Majority Vote is Communication Efficient and Fault Tolerant,(6, 6, 7),(5, 5, 4)\n",
      "6.29,ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS,(7, 5, 7),(4, 5, 5)\n",
      "6.28,Neural TTS Stylization with Adversarial and Collaborative Games,(6, 6, 6, 7),(5, 5, 3, 5)\n",
      "6.27,Generating Liquid Simulations with Deformation-aware Neural Networks,(7, 7, 5),(3, 4, 4)\n",
      "6.27,Policy Generalization In Capacity-Limited Reinforcement Learning,(7, 7, 5),(3, 4, 4)\n",
      "6.27,EMI: Exploration with Mutual Information Maximizing State and Action Embeddings,(5, 7, 7),(4, 4, 3)\n",
      "6.27,Hierarchical interpretations for neural network predictions,(7, 6, 6),(3, 4, 4)\n",
      "6.27,Poincare Glove: Hyperbolic Word Embeddings,(6, 6, 7),(4, 4, 3)\n",
      "6.27,Regularized Learning for  Domain Adaptation under Label Shifts,(7, 6, 6),(3, 4, 4)\n",
      "6.27,Structured Neural Summarization,(6, 6, 7),(4, 4, 3)\n",
      "6.27,DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS,(7, 6, 6),(3, 4, 4)\n",
      "6.27,Neural MMO: A massively multiplayer game environment for intelligent agents,(6, 5, 7),(4, 2, 5)\n",
      "6.25,LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION,(6, 6, 7),(5, 4, 3)\n",
      "6.25,Reward Constrained Policy Optimization,(6, 7, 6),(4, 2, 2)\n",
      "6.25,ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware,(6, 6, 7),(4, 2, 2)\n",
      "6.25,A Differentiable Self-disambiguated Sense Embedding Model via Scaled Gumbel Softmax,(7, 6, 6),(3, 4, 5)\n",
      "6.25,Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering,(7, 7, 4),(4, 5, 3)\n",
      "6.25,Two-Timescale Networks for Nonlinear Value Function Approximation,(6, 7, 6, 6),(4, 4, 4, 4)\n",
      "6.23,Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency,(6, 5, 8),(4, 5, 4)\n",
      "6.23,On Self Modulation for Generative Adversarial Networks,(7, 5, 7),(4, 5, 4)\n",
      "6.23,SGD Converges to Global Minimum in Deep Learning via Star-convex Path,(6, 5, 8),(4, 5, 4)\n",
      "6.23,A Biologically Inspired Visual Working Memory for Deep Networks,(4, 5, 9),(4, 4, 5)\n",
      "6.22,Learning Programmatically Structured Representations with Perceptor Gradients,(7, 6, 5),(5, 1, 3)\n",
      "6.22,Understanding Composition of Word Embeddings via Tensor Decomposition,(7, 6, 6),(2, 4, 3)\n",
      "6.22,A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations,(8, 6, 5),(3, 2, 4)\n",
      "6.22,Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network,(6, 6, 7),(4, 3, 2)\n",
      "6.21,Bayesian Policy Optimization for Model Uncertainty,(5, 6, 7, 7),(4, 3, 4, 3)\n",
      "6.20,On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent,(5, 8, 5),(3, 4, 3)\n",
      "6.20,Unsupervised Adversarial Image Reconstruction,(6, 8, 4),(3, 4, 3)\n",
      "6.20,Fixup Initialization: Residual Learning Without Normalization,(7, 5, 7),(3, 4, 3)\n",
      "6.20,Learning Kolmogorov Models for Binary Random Variables,(5, 5, 8),(4, 2, 4)\n",
      "6.20,Stable Recurrent Models,(7, 6, 6),(2, 4, 4)\n",
      "6.18,Scaling shared model governance via model splitting,(4, 5, 9),(3, 4, 4)\n",
      "6.18,Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection,(6, 7, 6, 6),(4, 2, 3, 2)\n",
      "6.17,Formal Limitations on the Measurement of Mutual Information,(8, 6, 4),(5, 3, 4)\n",
      "6.17,Information asymmetry in KL-regularized RL,(7, 5, 7),(3, 5, 4)\n",
      "6.17,Adversarial Reprogramming of Neural Networks,(4, 6, 8),(3, 5, 4)\n",
      "6.15,TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer,(4, 7, 8),(5, 4, 4)\n",
      "6.15,Sinkhorn AutoEncoders,(5, 6, 7, 7),(4, 3, 3, 3)\n",
      "6.12,Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure,(6, 5, 7),(3, 2, 3)\n",
      "6.11,Uncovering Surprising Behaviors in Reinforcement Learning via Worst-case Analysis,(5, 7, 6),(3, 4, 2)\n",
      "6.11,On the Sensitivity of Adversarial Robustness to Input Data Distributions,(7, 5, 7),(3, 4, 2)\n",
      "6.11,Universal Successor Features Approximators,(7, 5, 6),(3, 2, 4)\n",
      "6.10,Learnable Embedding Space for Efficient Neural Architecture Compression,(5, 7, 6),(3, 4, 3)\n",
      "6.10,LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING,(5, 6, 7),(3, 3, 4)\n",
      "6.09,Stochastic Gradient Descent Learns State Equations with Nonlinear Activations,(7, 5, 7),(3, 5, 3)\n",
      "6.09,Learning Heuristics for Automated Reasoning through Reinforcement Learning,(5, 6, 7),(3, 4, 4)\n",
      "6.09,Identifying Bias in AI using Simulation,(5, 7, 6),(4, 5, 2)\n",
      "6.08,Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation,(8, 7, 4),(4, 3, 5)\n",
      "6.08,How to train your MAML,(5, 6, 7),(3, 5, 4)\n",
      "6.08,h-detach: Modifying the LSTM Gradient Towards Better Optimization,(5, 6, 7),(4, 3, 5)\n",
      "6.08,Precision Highway for Ultra Low-precision Quantization,(6, 7, 5),(5, 4, 3)\n",
      "6.08,The Singular Values of Convolutional Layers,(8, 4, 7),(4, 5, 3)\n",
      "6.08,On-Policy Trust Region Policy Optimisation with Replay Buffers,(7, 6, 5),(5, 3, 4)\n",
      "6.08,Graph Wavelet Neural Network,(4, 7, 7),(4, 5, 4)\n",
      "6.08,Graph U-Net,(7, 4, 7),(5, 4, 4)\n",
      "6.08,Unsupervised Discovery of Parts, Structure, and Dynamics,(6, 6, 7, 5),(3, 3, 4, 3)\n",
      "6.08,Towards Consistent Performance on Atari using Expert Demonstrations,(6, 5, 7, 7),(4, 4, 1, 4)\n",
      "6.00,Decoupled Weight Decay Regularization,(6, 7, 5),(4, 4, 4)\n",
      "6.00,Interpolation-Prediction Networks for Irregularly Sampled Time Series,(6, 6, 6),(4, 4, 4)\n",
      "6.00,DATNet: Dual Adversarial Transfer for Low-resource Named Entity Recognition,(6, 6, 6),(4, 5, 4)\n",
      "6.00,Success at any cost: value constrained model-free continuous control,(7, 5, 6),(4, 4, 4)\n",
      "6.00,Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity,(4, 9, 5),(4, 4, 4)\n",
      "6.00,Guiding Policies with Language via Meta-Learning,(6, 6, 6),(4, 3, 4)\n",
      "6.00,Improving the Generalization of Adversarial Training with Domain Adaptation,(6, 6, 6),(3, 4, 2)\n",
      "6.00,Projective Subspace Networks For Few-Shot Learning,(6, 6, 6),(4, 3, 4)\n",
      "6.00,ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION,(4, 7, 7),(4, 4, 4)\n",
      "6.00,Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures,(6, 6, 6),(3, 3, 3)\n",
      "6.00,Generative Feature Matching Networks,(6, 6, 6, 6),(4, 3, 3, 3)\n",
      "6.00,Robust Conditional Generative Adversarial Networks,(6, 6, 6),(4, 4, 4)\n",
      "6.00,Adversarial Imitation via Variational Inverse Reinforcement Learning,(6, 6, 6),(4, 3, 4)\n",
      "6.00,Improving Sequence-to-Sequence Learning via Optimal Transport,(6, 7, 5),(3, 4, 4)\n",
      "6.00,Discriminative Active Learning,(8, 6, 4),(4, 4, 4)\n",
      "6.00,Environment Probing Interaction Policies,(6, 6, 6),(3, 2, 4)\n",
      "6.00,Variance Networks: When Expectation Does Not Meet Your Expectations,(6, 6, 6),(3, 4, 4)\n",
      "6.00,Wasserstein Barycenter Model Ensembling,(6, 6, 6),(4, 3, 4)\n",
      "6.00,STCN: Stochastic Temporal Convolutional Networks,(6, 6, 6),(5, 3, 4)\n",
      "6.00,Measuring and regularizing networks in function space,(6, 6, 6),(3, 4, 4)\n",
      "6.00,Capsule Graph Neural Network,(6, 6, 6),(4, 4, 4)\n",
      "6.00,MEAN-FIELD ANALYSIS OF BATCH NORMALIZATION,(7, 6, 5),(3, 3, 3)\n",
      "6.00,An Empirical study of Binary Neural Networks' Optimisation,(8, 6, 4),(4, 3, 4)\n",
      "6.00,Top-Down Neural Model For Formulae,(6, 6, 6),(3, 4, 2)\n",
      "6.00,Combinatorial Attacks on Binarized Neural Networks,(5, 6, 7),(4, 4, 4)\n",
      "6.00,Dimension-Free Bounds for Low-Precision Training,(6, 6, 6),(3, 3, 4)\n",
      "6.00,Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization,(5, 6, 7),(4, 4, 4)\n",
      "6.00,Multi-class classification without multi-class labels,(6, 7, 5),(3, 4, 4)\n",
      "6.00,Learning Multi-Level Hierarchies with Hindsight,(6, 7, 5),(4, 4, 4)\n",
      "6.00,Countering Language Drift via Grounding,(6, 6, 6),(3, 4, 4)\n",
      "6.00,Shallow Learning For Deep Networks,(6, 5, 7),(4, 4, 4)\n",
      "6.00,Computing committor functions for the study of rare events using deep learning with importance sampling,(6, 6, 5, 7),(4, 4, 4, 4)\n",
      "6.00,Discovery of Natural Language Concepts in Individual Units of CNNs,(6, 6, 6),(4, 4, 3)\n",
      "6.00,TarMAC: Targeted Multi-Agent Communication,(6, 6, 6),(5, 4, 5)\n",
      "6.00,Meta-Learning Neural Bloom Filters,(3, 6, 7),(1, 4, 3)\n",
      "6.00,Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer,(6, 6, 6),(3, 1, 2)\n",
      "6.00,Machine Translation With Weakly Paired Bilingual Documents,(6, 5, 7),(3, 5, 5)\n",
      "6.00,Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers,(6, 6, 6),(3, 5, 4)\n",
      "6.00,Semi-supervised Learning with Multi-Domain Sentiment Word Embeddings,(6, 6, 6),(3, 3, 3)\n",
      "6.00,Graph Transformer ,(6, 6, 6),(5, 5, 3)\n",
      "6.00,GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation,(6, 6, 6),(5, 4, 3)\n",
      "6.00,Multi-Agent Dual Learning,(6, 6, 6),(4, 2, 3)\n",
      "6.00,DL2: Training and Querying Neural Networks with Logic,(7, 5, 6),(4, 4, 2)\n",
      "6.00,Learning models for visual 3D localization with implicit mapping,(7, 5, 6),(4, 4, 3)\n",
      "6.00,Adversarial Information Factorization,(6, 6, 6),(4, 4, 4)\n",
      "6.00,BNN+: Improved Binary Network Training,(8, 6, 4),(4, 3, 4)\n",
      "6.00,Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution,(6, 6, 6),(3, 4, 3)\n",
      "6.00,Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation,(8, 6, 5),(2, 4, 4)\n",
      "6.00,Reinforcement Learning with Perturbed Rewards,(6, 6, 6),(4, 3, 3)\n",
      "6.00,Stochastic Gradient Push for Distributed Deep Learning,(6, 6, 6),(3, 4, 3)\n",
      "6.00,INVASE: Instance-wise Variable Selection using Neural Networks,(6, 6, 6),(3, 4, 3)\n",
      "6.00,Improving Sentence Representations with Multi-view Frameworks,(7, 6, 5),(4, 5, 4)\n",
      "6.00,Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis,(6, 5, 7),(4, 4, 4)\n",
      "6.00,DON’T JUDGE A BOOK BY ITS COVER - ON THE DYNAMICS OF RECURRENT NEURAL NETWORKS,(5, 7, 6),(4, 4, 3)\n",
      "6.00,Stochastic Prediction of Multi-Agent Interactions from Partial Observations,(6, 6, 6),(4, 4, 4)\n",
      "6.00,Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation,(5, 6, 7),(4, 2, 4)\n",
      "6.00,Explicit Information Placement on Latent Variables using Auxiliary Generative Modelling Task,(6, 7, 5),(4, 4, 4)\n",
      "6.00,Cramer-Wold AutoEncoder,(5, 7, 6),(4, 4, 4)\n",
      "6.00,A Closer Look at Few-shot Classification,(6, 6, 6),(2, 5, 4)\n",
      "6.00,code2seq: Generating Sequences from Structured Representations of Code,(6, 7, 5),(4, 4, 4)\n",
      "6.00,Interactive Agent Modeling by Learning to Probe,(6, 6, 6, 6),(4, 3, 4, 4)\n",
      "6.00,Language Model Pre-training for Hierarchical Document Representations,(6, 6, 6),(4, 4, 4)\n",
      "6.00,Unsupervised Neural Multi-Document Abstractive Summarization of Reviews,(5, 4, 9),(4, 4, 4)\n",
      "6.00,Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces,(6, 6, 6),(4, 3, 4)\n",
      "6.00,A Max-Affine Spline Perspective of Recurrent Neural Networks,(6, 6, 6),(3, 3, 3)\n",
      "6.00,Unsupervised Hyper-alignment for Multilingual Word Embeddings,(5, 6, 7),(3, 4, 3)\n",
      "5.93,Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations,(4, 5, 9, 6),(5, 3, 4, 3)\n",
      "5.93,Neural Program Repair by Jointly Learning to Localize and Repair,(6, 7, 5),(5, 4, 5)\n",
      "5.92,Alignment Based Mathching Networks for One-Shot Classification and Open-Set Recognition,(7, 6, 7, 4),(3, 2, 4, 4)\n",
      "5.92,An adaptive homeostatic algorithm for the unsupervised learning of visual features,(5, 4, 9),(5, 4, 4)\n",
      "5.92,A comprehensive, application-oriented study of catastrophic forgetting in DNNs,(5, 6, 7),(4, 5, 3)\n",
      "5.92,Generative predecessor models for sample-efficient imitation learning,(6, 5, 7),(3, 5, 4)\n",
      "5.91,Automata Guided Skill Composition,(7, 5, 6, 5),(3, 2, 4, 2)\n",
      "5.91,Learning Implicit Generative Models by Teaching Explicit Ones,(7, 5, 6),(3, 4, 4)\n",
      "5.91,Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models,(7, 5, 5),(5, 3, 3)\n",
      "5.91,IB-GAN: Disentangled Representation Learning with Information Bottleneck GAN,(7, 7, 4),(4, 3, 4)\n",
      "5.91,Online Hyperparameter Adaptation via Amortized Proximal Optimization,(6, 5, 7),(4, 4, 3)\n",
      "5.91,Distribution-Interpolation Trade off in Generative Models,(6, 7, 5),(4, 3, 4)\n",
      "5.90,Cost-Sensitive Robustness against Adversarial Examples,(5, 5, 8),(4, 3, 3)\n",
      "5.90,EFFICIENT TWO-STEP ADVERSARIAL DEFENSE FOR DEEP NEURAL NETWORKS,(5, 6, 7),(4, 3, 3)\n",
      "5.90,A Direct Approach to Robust Deep Learning Using Adversarial Networks,(5, 7, 6),(4, 3, 3)\n",
      "5.90,Aggregated Momentum: Stability Through Passive Damping,(7, 6, 5),(3, 3, 4)\n",
      "5.89,Graph Convolutional Network with Sequential Attention For Goal-Oriented Dialogue Systems,(5, 6, 7),(3, 4, 2)\n",
      "5.88,Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps,(6, 5, 6),(3, 1, 4)\n",
      "5.86,Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search,(5, 6, 7, 6),(5, 3, 3, 3)\n",
      "5.85,Estimating Information Flow in DNNs,(7, 7, 4),(4, 4, 5)\n",
      "5.85,Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile,(7, 6, 5),(3, 5, 5)\n",
      "5.83,Dirichlet Variational Autoencoder,(6, 5, 7),(4, 5, 3)\n",
      "5.83,NECST: Neural Joint Source-Channel Coding,(6, 4, 7),(5, 3, 4)\n",
      "5.83,Adversarial Vulnerability of Neural Networks Increases with Input Dimension,(6, 4, 9, 5),(4, 5, 4, 5)\n",
      "5.82,Talk The Walk: Navigating Grids in New York City through Grounded Dialogue,(6, 7, 4),(4, 4, 3)\n",
      "5.82,Random mesh projectors for inverse problems,(6, 7, 4),(4, 4, 3)\n",
      "5.82,DADAM: A consensus-based distributed adaptive gradient method for online optimization,(8, 4, 6),(3, 4, 4)\n",
      "5.80,Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening,(5, 6, 6),(2, 4, 4)\n",
      "5.80,Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization,(7, 5, 5),(4, 3, 3)\n",
      "5.80,Learning from Positive and Unlabeled Data with a Selection Bias,(7, 6, 5),(2, 4, 4)\n",
      "5.80,Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation,(7, 7, 4),(3, 3, 4)\n",
      "5.80,The Unusual Effectiveness of Averaging in GAN Training,(5, 6, 6),(2, 4, 4)\n",
      "5.80,Neural Networks with Structural Resistance to Adversarial Attacks,(5, 5, 7),(3, 3, 4)\n",
      "5.78,Lipschitz regularized Deep Neural Networks generalize,(4, 6, 7),(3, 2, 4)\n",
      "5.77,Super-Resolution via Conditional Implicit Maximum Likelihood Estimation,(5, 6, 6),(3, 5, 5)\n",
      "5.77,Collapse of deep and narrow neural nets,(6, 4, 7),(4, 4, 5)\n",
      "5.77,Exploring the interpretability of LSTM neural networks over multi-variable data,(6, 5, 6),(5, 3, 5)\n",
      "5.77,ACTRCE: Augmenting Experience via Teacher’s Advice,(5, 7, 5),(4, 5, 4)\n",
      "5.77,A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation,(4, 7, 6),(4, 5, 4)\n",
      "5.75,Deep Convolutional Networks as shallow Gaussian Processes,(5, 8, 5),(5, 3, 4)\n",
      "5.75,Cohen Welling bases & SO(2)-Equivariant classifiers using Tensor nonlinearity.,(3, 7, 6),(2, 4, 2)\n",
      "5.75,Generalizable Adversarial Training via Spectral Normalization,(6, 5, 6),(5, 3, 4)\n",
      "5.75,Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning,(7, 4, 7),(4, 5, 3)\n",
      "5.75,Switching Linear Dynamics for Variational Bayes Filtering,(6, 4, 7),(3, 4, 5)\n",
      "5.73,Open-Ended Content-Style Recombination Via Leakage Filtering,(7, 5, 5),(4, 3, 4)\n",
      "5.73,Nested Dithered Quantization for Communication Reduction in Distributed Training,(5, 5, 7),(4, 3, 4)\n",
      "5.73,DANA: Scalable Out-of-the-box Distributed ASGD Without Retuning,(5, 7, 5),(3, 4, 4)\n",
      "5.73,Rethinking Knowledge Graph Propagation for Zero-Shot Learning,(7, 5, 5),(4, 3, 4)\n",
      "5.73,A unified theory of adaptive stochastic gradient descent as Bayesian filtering,(5, 7, 5),(3, 4, 4)\n",
      "5.73,Dynamic Early Terminating of Multiply Accumulate Operations for Saving Computation Cost in Convolutional Neural Networks,(5, 6, 6),(3, 5, 3)\n",
      "5.73,Adaptive Pruning of Neural Language Models for Mobile Devices,(6, 5, 6),(4, 3, 4)\n",
      "5.73,A Kernel Random Matrix-Based Approach for Sparse PCA,(5, 7, 6),(5, 2, 4)\n",
      "5.73,Where Off-Policy Deep Reinforcement Learning Fails,(7, 5, 5),(4, 4, 3)\n",
      "5.73,Human-level Protein Localization with Convolutional Neural Networks,(4, 5, 8),(4, 3, 4)\n",
      "5.73,Learning Backpropagation-Free Deep Architectures with Kernels,(6, 6, 5),(4, 4, 3)\n",
      "5.71,Deep Probabilistic Video Compression,(6, 5, 6),(5, 4, 5)\n",
      "5.71,Neural Networks for Modeling Source Code Edits,(5, 6, 6, 6),(4, 2, 4, 4)\n",
      "5.71,Variational Bayesian Phylogenetic Inference,(6, 5, 7),(3, 3, 1)\n",
      "5.71,Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data,(3, 6, 8, 7),(4, 4, 2, 4)\n",
      "5.71,(Unconstrained) Beam Search is Sensitive to Large Search Discrepancies,(5, 5, 7),(4, 5, 5)\n",
      "5.71,Domain Adaptation for Structured Output via Disentangled Patch Representations,(7, 5, 5),(5, 5, 4)\n",
      "5.70,Information Regularized Neural Networks,(6, 6, 5),(4, 3, 3)\n",
      "5.70,Towards Understanding Regularization in Batch Normalization,(5, 6, 6),(3, 5, 2)\n",
      "5.70,Neural Logic Machines,(6, 7, 5),(3, 2, 5)\n",
      "5.70,Deep Denoising: Rate-Optimal Recovery of Structured Signals with a Deep Prior,(6, 5, 6),(3, 3, 4)\n",
      "5.70,Guiding Physical Intuition with Neural Stethoscopes,(6, 4, 7),(4, 3, 3)\n",
      "5.70,An Information-Theoretic Metric of Transferability for Task Transfer Learning,(5, 6, 6),(3, 3, 4)\n",
      "5.70,Revisiting Reweighted Wake-Sleep,(5, 6, 6),(3, 3, 4)\n",
      "5.70,Incremental training of multi-generative adversarial networks,(5, 6, 6),(3, 4, 3)\n",
      "5.70,Multi-objective training of Generative Adversarial Networks with multiple discriminators,(6, 5, 6),(3, 3, 4)\n",
      "5.70,Amortized Bayesian Meta-Learning,(6, 5, 6),(4, 3, 3)\n",
      "5.69,Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology,(6, 4, 7),(5, 4, 4)\n",
      "5.69,The Expressive Power of Deep Neural Networks with Circulant Matrices,(4, 7, 6),(4, 4, 5)\n",
      "5.69,Hallucinations in Neural Machine Translation,(6, 4, 7),(5, 4, 4)\n",
      "5.69,Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model,(7, 4, 6),(4, 4, 5)\n",
      "5.67,Can I trust you more? Model-Agnostic Hierarchical Explanations,(6, 6, 5),(4, 4, 4)\n",
      "5.67,Laplacian Smoothing Gradient Descent,(6, 6, 5),(4, 4, 4)\n",
      "5.67,A More Globally Accurate Dimensionality Reduction Method Using Triplets,(6, 5, 6),(5, 4, 3)\n",
      "5.67,Better Generalization with On-the-fly Dataset Denoising,(5, 6, 6),(4, 3, 5)\n",
      "5.67,Universal Successor Features for Transfer Reinforcement Learning,(4, 7, 6),(5, 5, 5)\n",
      "5.67,On the Margin Theory of Feedforward Neural Networks,(5, 5, 6, 7),(4, 4, 4, 3)\n",
      "5.67,Adversarial Exploration Strategy for Self-Supervised Imitation Learning,(7, 5, 5),(3, 3, 3)\n",
      "5.67,Learning Actionable Representations with Goal Conditioned Policies,(5, 6, 6),(4, 4, 4)\n",
      "5.67,ADAPTIVE NETWORK SPARSIFICATION VIA DEPENDENT VARIATIONAL BETA-BERNOULLI DROPOUT,(5, 5, 7),(4, 4, 4)\n",
      "5.67,Cross-Task Knowledge Transfer for Visually-Grounded Navigation,(7, 5, 5),(4, 3, 5)\n",
      "5.67,The Variational Deficiency Bottleneck,(5, 7, 6),(5, 2, 2)\n",
      "5.67,CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication,(4, 6, 7),(4, 4, 4)\n",
      "5.67,A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks,(5, 5, 7),(4, 4, 4)\n",
      "5.67,Hierarchically-Structured Variational Autoencoders for Long Text Generation,(5, 5, 7),(4, 4, 4)\n",
      "5.67,Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference,(6, 4, 7),(3, 3, 3)\n",
      "5.67,PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation,(4, 9, 4),(4, 3, 2)\n",
      "5.67,Meta-Learning with Domain Adaptation for Few-Shot Learning under Domain Shift,(6, 5, 6),(3, 3, 3)\n",
      "5.67,Transfer Learning via Unsupervised Task Discovery for Visual Question Answering,(4, 5, 8),(5, 5, 5)\n",
      "5.67,Identifying Generalization Properties in Neural Networks,(6, 5, 6),(4, 4, 4)\n",
      "5.67,Interactive Parallel Exploration for Reinforcement Learning in Continuous Action Spaces,(6, 4, 7),(4, 4, 4)\n",
      "5.67,Convolutional CRFs for Semantic Segmentation,(7, 4, 6),(4, 4, 4)\n",
      "5.67,Manifold regularization with GANs for semi-supervised learning,(7, 5, 5),(4, 4, 4)\n",
      "5.67,Predicted Variables in Programming,(5, 5, 7),(3, 3, 3)\n",
      "5.67,Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks ,(7, 5, 5),(3, 3, 3)\n",
      "5.67,Unsupervised Learning  of Sentence Representations Using Sequence Consistency,(7, 5, 5),(4, 4, 4)\n",
      "5.67,Set Transformer,(5, 6, 6),(4, 3, 5)\n",
      "5.67,SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels,(7, 5, 5),(4, 4, 4)\n",
      "5.67,Fast adversarial training for semi-supervised learning,(7, 5, 5),(4, 4, 4)\n",
      "5.67,Spectral Inference Networks: Unifying Deep and Spectral Learning,(5, 7, 5),(3, 3, 3)\n",
      "5.67,IMAGE DEFORMATION META-NETWORK FOR ONE-SHOT LEARNING,(5, 7, 6),(4, 1, 4)\n",
      "5.67,Backprop with Approximate Activations for Memory-efficient Network Training,(5, 7, 5),(3, 4, 5)\n",
      "5.67,Detecting Out-Of-Distribution Samples Using Low-Order Deep Features Statistics,(5, 5, 7),(4, 4, 4)\n",
      "5.67,Mode Normalization,(5, 6, 6),(4, 4, 4)\n",
      "5.67,Predict then Propagate: Graph Neural Networks meet Personalized PageRank,(5, 5, 7),(4, 4, 4)\n",
      "5.67,Learning to Augment Influential Data,(6, 6, 5),(4, 4, 4)\n",
      "5.67,Understanding & Generalizing AlphaGo Zero,(5, 7, 5),(5, 4, 3)\n",
      "5.67,ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION,(4, 7, 6),(4, 4, 4)\n",
      "5.67,Graph Matching Networks for Learning the Similarity of Graph Structured Objects,(5, 6, 6),(4, 4, 4)\n",
      "5.67,Teacher Guided Architecture Search,(6, 5, 6),(4, 4, 4)\n",
      "5.67,Context Mover's Distance & Barycenters: Optimal transport of contexts for building representations,(4, 6, 7),(4, 4, 4)\n",
      "5.67,GamePad: A Learning Environment for Theorem Proving,(4, 7, 7),(4, 3, 2)\n",
      "5.67,InfoBot: Transfer and Exploration via the Information Bottleneck,(7, 7, 3),(3, 3, 3)\n",
      "5.67,RANDOM MASK: Towards Robust Convolutional Neural Networks,(6, 7, 4),(3, 3, 3)\n",
      "5.67,A  Model Cortical Network for Spatiotemporal Sequence Learning and Prediction,(7, 7, 3),(3, 3, 3)\n",
      "5.64,Adaptive Mixture of Low-Rank Factorizations for Compact Neural Modeling,(4, 6, 7),(5, 4, 5)\n",
      "5.64,State-Regularized Recurrent Networks,(6, 6, 5),(4, 5, 5)\n",
      "5.64,Trace-back along capsules and its application on semantic segmentation  \t\t,(6, 6, 5),(4, 3, 4)\n",
      "5.64,LIT: Block-wise Intermediate Representation Training for Model Compression,(5, 6, 6),(4, 3, 4)\n",
      "5.64,Adversarial Audio Synthesis,(5, 6, 6),(4, 3, 4)\n",
      "5.64,Unsupervised Document Representation using Partition Word-Vectors Averaging,(6, 7, 4),(3, 4, 4)\n",
      "5.64,CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model,(6, 5, 6),(4, 4, 3)\n",
      "5.64,Learning data-derived privacy preserving representations from information metrics,(6, 5, 6),(4, 4, 3)\n",
      "5.64,Learning to Learn with Conditional Class Dependencies,(6, 8, 4),(3, 3, 5)\n",
      "5.64,Transfer Learning for Sequences via Learning to Collocate,(6, 5, 6),(3, 4, 4)\n",
      "5.64,Understanding GANs via Generalization Analysis for Disconnected Support,(6, 5, 6),(4, 4, 3)\n",
      "5.64,A Resizable Mini-batch Gradient Descent based on a Multi-Armed Bandit,(6, 7, 4),(3, 4, 4)\n",
      "5.62,Learning Neural Random Fields with Inclusive Auxiliary Generators,(6, 6, 5),(3, 2, 3)\n",
      "5.62,Zero-Resource Multilingual Model Transfer: Learning What to Share,(6, 5, 6),(4, 5, 4)\n",
      "5.62,The meaning of \"most\" for visual question answering models,(7, 5, 5),(4, 5, 4)\n",
      "5.60,Learning State Representations in Complex Systems with Multimodal Data,(6, 6, 5),(3, 3, 4)\n",
      "5.60,Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification,(5, 5, 7),(4, 3, 3)\n",
      "5.60,Neural separation of observed and unobserved distributions,(6, 5, 6),(2, 4, 4)\n",
      "5.60,Infinitely Deep Infinite-Width Networks,(5, 6, 6),(4, 2, 4)\n",
      "5.60,EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE,(6, 5, 6),(2, 4, 4)\n",
      "5.60,Manifold Mixup: Learning Better Representations by Interpolating Hidden States,(6, 4, 8),(4, 4, 2)\n",
      "5.60,Amortized Context Vector Inference for Sequence-to-Sequence Networks,(6, 6, 5),(3, 3, 4)\n",
      "5.58,Adversarial Attacks on Node Embeddings,(5, 6, 6),(5, 3, 4)\n",
      "5.58,Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks,(8, 4, 5),(4, 5, 3)\n",
      "5.58,Stochastic Adversarial Video Prediction,(6, 6, 5),(3, 4, 5)\n",
      "5.58,MILE: A Multi-Level Framework for Scalable Graph Embedding,(7, 4, 6),(3, 4, 5)\n",
      "5.58,Flow++: Improving Flow-Based Generative Models  with  Variational Dequantization and Architecture Design  ,(6, 6, 5),(4, 3, 5)\n",
      "5.58,A Variational Dirichlet Framework for Out-of-Distribution Detection,(6, 5, 6),(4, 5, 3)\n",
      "5.57,Learning Exploration Policies for Navigation,(3, 7, 7),(5, 5, 4)\n",
      "5.57,Small steps and giant leaps: Minimal Newton solvers for Deep Learning,(7, 7, 3),(5, 4, 5)\n",
      "5.56,Pix2Scene: Learning Implicit 3D Representations from Images,(5, 6, 6),(4, 4, 1)\n",
      "5.56,CONTROLLING COVARIATE SHIFT USING EQUILIBRIUM NORMALIZATION OF WEIGHTS,(4, 6, 7),(4, 1, 4)\n",
      "5.55,Overcoming Multi-model Forgetting,(6, 5, 6),(2, 5, 4)\n",
      "5.55,Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors,(7, 4, 6),(3, 4, 4)\n",
      "5.55,The loss landscape of overparameterized neural networks,(5, 7, 5),(4, 3, 4)\n",
      "5.55,Learning Embeddings into Entropic Wasserstein Spaces,(7, 7, 3),(3, 4, 4)\n",
      "5.55,Adaptive Sample-space & Adaptive Probability coding: a neural-network based approach for compression,(5, 7, 5),(4, 3, 4)\n",
      "5.54,Adaptive Gradient Methods with Dynamic Bound of Learning Rate,(7, 4, 6),(4, 5, 4)\n",
      "5.54,AIM: Adversarial Inference by Matching Priors and Conditionals,(7, 4, 6),(4, 5, 4)\n",
      "5.53,Convergent Reinforcement Learning with Function Approximation: A Bilevel Optimization Perspective,(5, 6, 6, 5),(3, 4, 4, 4)\n",
      "5.53,Sample Efficient Imitation Learning for Continuous Control,(5, 7, 5, 5),(4, 5, 5, 5)\n",
      "5.50,Explaining Image Classifiers by Counterfactual Generation,(5, 7, 5),(4, 3, 5)\n",
      "5.50,Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation,(5, 7, 4),(3, 4, 3)\n",
      "5.50,Knowledge Representation for Reinforcement Learning using General Value Functions,(6, 7, 4),(3, 3, 4)\n",
      "5.50,Pyramid Recurrent Neural Networks for Multi-Scale Change-Point Detection,(4, 6, 7),(5, 3, 4)\n",
      "5.50,Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality,(4, 6, 6),(3, 4, 5)\n",
      "5.50,Efficiently testing local optimality and escaping saddles for ReLU networks,(3, 6, 6, 8),(4, 2, 3, 3)\n",
      "5.50,Neural Predictive Belief Representations,(4, 7, 5),(3, 4, 3)\n",
      "5.50,Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction,(4, 6, 7),(4, 3, 3)\n",
      "5.50,PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning,(6, 7, 4),(3, 4, 5)\n",
      "5.50,Actor-Attention-Critic for Multi-Agent Reinforcement Learning,(6, 7, 4),(3, 3, 4)\n",
      "5.50,Exploring and Enhancing the Transferability of Adversarial Examples,(4, 6, 6),(2, 3, 3)\n",
      "5.47,Unlabeled Disentangling of GANs with Guided Siamese Networks,(5, 6, 5, 6),(4, 3, 4, 4)\n",
      "5.46,SynonymNet: Multi-context Bilateral Matching for Entity Synonyms,(5, 7, 4),(4, 5, 4)\n",
      "5.45,AntMan: Sparse Low-Rank Compression To Accelerate RNN Inference,(6, 5, 5),(5, 2, 4)\n",
      "5.45,The Nonlinearity Coefficient - Predicting Generalization in Deep Neural Networks,(5, 7, 4),(4, 4, 3)\n",
      "5.45,Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation,(4, 7, 5),(3, 4, 4)\n",
      "5.45,Probabilistic Federated Neural Matching,(4, 6, 6),(3, 4, 4)\n",
      "5.45,A Deep Learning Approach for Dynamic Survival Analysis with Competing Risks,(4, 8, 4),(4, 4, 3)\n",
      "5.44,Mimicking actions is a good strategy for beginners: Fast Reinforcement Learning with Expert Action Sequences,(5, 5, 6),(3, 2, 4)\n",
      "5.44,Deep Imitative Models for Flexible Inference, Planning, and Control,(5, 6, 6),(5, 3, 1)\n",
      "5.44,DOMAIN ADAPTATION VIA DISTRIBUTION AND REPRESENTATION MATCHING: A CASE STUDY ON TRAINING DATA SELECTION VIA REINFORCEMENT LEARNING,(4, 7, 5),(2, 3, 4)\n",
      "5.43,Adversarially Learned Mixture Model,(6, 5, 6),(1, 4, 2)\n",
      "5.43,Music Transformer: Generating Music with Long-Term Structure,(7, 6, 4, 5),(3, 4, 4, 3)\n",
      "5.42,An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack,(5, 5, 6),(3, 4, 5)\n",
      "5.42,Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs,(5, 5, 6),(3, 4, 5)\n",
      "5.42,Learning to Decompose Compound Questions with Reinforcement Learning,(6, 5, 5),(5, 3, 4)\n",
      "5.40,Importance Resampling for Off-policy Policy Evaluation,(6, 5, 5),(4, 3, 3)\n",
      "5.40,DEEP GRAPH TRANSLATION,(5, 5, 6),(2, 4, 4)\n",
      "5.40,Learning Representations of Sets through Optimized Permutations,(6, 3, 6),(4, 2, 4)\n",
      "5.40,Unsupervised Conditional Generation using noise engineered mode matching GAN,(5, 5, 6),(3, 3, 4)\n",
      "5.40,Label Propagation Networks,(5, 5, 6),(2, 4, 4)\n",
      "5.40,Out-of-Sample Extrapolation with Neuron Editing,(5, 5, 6),(3, 3, 4)\n",
      "5.40,Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification,(4, 6, 6),(3, 4, 3)\n",
      "5.40,Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes,(6, 4, 7),(4, 4, 2)\n",
      "5.40,Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation,(5, 5, 7),(4, 4, 2)\n",
      "5.40,Improving Composition of Sentence Embeddings through the Lens of Statistical Relational Learning,(5, 5, 6),(3, 3, 4)\n",
      "5.40,Learning to Describe Scenes with Programs,(6, 4, 6),(3, 3, 4)\n",
      "5.38,On Learning Heteroscedastic Noise Models within Differentiable Bayes Filters,(6, 4, 6),(5, 4, 4)\n",
      "5.38,Learning to encode spatial relations from natural language,(6, 5, 5),(5, 4, 4)\n",
      "5.38,CDeepEx: Contrastive Deep Explanations,(5, 6, 5),(4, 5, 4)\n",
      "5.38,GRAPH TRANSFORMATION POLICY NETWORK FOR CHEMICAL REACTION PREDICTION,(5, 6, 5),(4, 5, 4)\n",
      "5.38,Probabilistic Knowledge Graph Embeddings,(5, 6, 5),(2, 3, 3)\n",
      "5.36,A Modern Take on the Bias-Variance Tradeoff in Neural Networks,(5, 7, 4),(3, 4, 4)\n",
      "5.36,What Would pi* Do?: Imitation Learning via Off-Policy Reinforcement Learning,(5, 5, 6),(4, 3, 4)\n",
      "5.36,Complementary-label learning for arbitrary losses and models,(5, 5, 6),(3, 4, 4)\n",
      "5.36,Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks,(5, 5, 6),(3, 4, 4)\n",
      "5.36,NSGA-Net: A Multi-Objective Genetic Algorithm for Neural Architecture Search,(6, 5, 5),(4, 3, 4)\n",
      "5.36,Integrated Steganography and Steganalysis with Generative Adversarial Networks,(5, 6, 5),(5, 4, 2)\n",
      "5.36,On Difficulties of Probability Distillation,(5, 7, 5),(5, 2, 4)\n",
      "5.36,I Know the Feeling: Learning to Converse with Empathy,(4, 7, 5),(4, 4, 3)\n",
      "5.36,Deep learning generalizes because the parameter-function map is biased towards simple functions,(7, 5, 4),(4, 3, 4)\n",
      "5.36,GenEval: A Benchmark Suite for Evaluating Generative Models,(5, 5, 6),(3, 4, 4)\n",
      "5.36,State-Denoised Recurrent Neural Networks,(6, 5, 5),(4, 3, 4)\n",
      "5.36,Domain Generalization via Invariant Representation under Domain-Class Dependency,(4, 7, 5),(5, 5, 4)\n",
      "5.36,Generative Adversarial Self-Imitation Learning,(5, 6, 5),(5, 5, 4)\n",
      "5.33,Meta-Learning for Contextual Bandit Exploration,(7, 6, 3),(4, 4, 4)\n",
      "5.33,Model Compression with Generative Adversarial Networks,(5, 6, 5),(4, 4, 4)\n",
      "5.33,Skip-gram word embeddings in hyperbolic space,(5, 5, 6),(3, 3, 3)\n",
      "5.33,Systematic Generalization: What Is Required and Can It Be Learned?,(4, 6, 6),(4, 3, 5)\n",
      "5.33,Making Convolutional Networks Shift-Invariant Again,(6, 5, 5),(4, 4, 4)\n",
      "5.33,Dataset Distillation,(5, 6, 5),(4, 4, 4)\n",
      "5.33,Sliced Wasserstein Auto-Encoders,(6, 4, 6),(4, 4, 4)\n",
      "5.33,Probabilistic Model-Based Dynamic Architecture Search,(5, 6, 5),(4, 4, 4)\n",
      "5.33,MahiNet: A Neural Network for Many-Class Few-Shot Learning with Class Hierarchy,(5, 6, 5),(3, 3, 3)\n",
      "5.33,Zero-shot Learning for Speech Recognition with Universal Phonetic Model,(7, 4, 5),(4, 4, 4)\n",
      "5.33,Point Cloud GAN,(5, 5, 6),(4, 4, 4)\n",
      "5.33,The Case for Full-Matrix Adaptive Regularization,(6, 5, 5),(3, 3, 3)\n",
      "5.33,Search-Guided, Lightly-supervised Training of  Structured Prediction Energy Networks,(5, 7, 4),(4, 4, 4)\n",
      "5.33,Caveats for information bottleneck in deterministic scenarios,(2, 8, 6),(4, 4, 4)\n",
      "5.33,Live Face De-Identification in Video,(6, 4, 6),(4, 4, 4)\n",
      "5.33,Towards GAN Benchmarks Which Require Generalization,(6, 7, 3),(4, 4, 4)\n",
      "5.33,An experimental study of layer-level training speed and its impact on generalization,(6, 5, 5),(3, 4, 2)\n",
      "5.33,Clinical Risk: wavelet reconstruction networks for marked point processes,(7, 4, 5),(4, 4, 4)\n",
      "5.33,Transformer-XL: Language Modeling with Longer-Term Dependency,(6, 6, 4),(4, 4, 4)\n",
      "5.33,Open Loop Hyperparameter Optimization and Determinantal Point Processes,(5, 6, 5),(5, 4, 3)\n",
      "5.33,Guided Exploration in Deep Reinforcement Learning,(7, 5, 3),(5, 4, 3)\n",
      "5.33,Rethinking learning rate schedules for stochastic optimization,(6, 4, 6),(4, 4, 4)\n",
      "5.33,Learning Graph Decomposition,(7, 4, 5),(4, 4, 4)\n",
      "5.33,Rotation Equivariant Networks via Conic Convolution and the DFT,(4, 7, 6),(4, 2, 3)\n",
      "5.33,Massively Parallel Hyperparameter Tuning,(6, 5, 5),(4, 4, 4)\n",
      "5.33,The Expressive Power of Gated Recurrent Units as a Continuous Dynamical System,(5, 6, 5),(4, 4, 4)\n",
      "5.33,Lorentzian Distance Learning,(6, 5, 5),(4, 4, 4)\n",
      "5.33,Knows When it Doesn’t Know: Deep Abstaining Classifiers,(6, 5, 5),(4, 3, 5)\n",
      "5.33,The GAN Landscape: Losses, Architectures, Regularization, and Normalization,(4, 4, 7),(3, 2, 4)\n",
      "5.31,Gaussian-gated LSTM: Improved convergence by reducing state updates,(5, 5, 6),(5, 4, 4)\n",
      "5.31,Area Attention,(6, 5, 5),(4, 5, 4)\n",
      "5.31,Local Image-to-Image Translation via Pixel-wise Highway Adaptive Instance Normalization,(6, 5, 5),(4, 4, 5)\n",
      "5.31,Local Binary Pattern Networks for Character Recognition,(5, 6, 5),(5, 4, 4)\n",
      "5.31,EnGAN: Latent Space MCMC and Maximum Entropy Generators for Energy-based Models,(6, 5, 5),(4, 5, 4)\n",
      "5.31,Exploring Curvature Noise in Large-Batch Stochastic Optimization,(5, 6, 5),(4, 4, 5)\n",
      "5.30,Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective,(5, 5, 6),(4, 3, 3)\n",
      "5.30,Composing Entropic Policies using Divergence Correction,(4, 7, 5),(3, 3, 4)\n",
      "5.30,An Active Learning Framework for Efficient Robust Policy Search,(5, 6, 5),(3, 3, 4)\n",
      "5.30,Training generative latent models  by variational f-divergence minimization,(6, 5, 5),(3, 4, 3)\n",
      "5.30,Meta Learning with Fast/Slow Learners,(5, 6, 5),(3, 3, 4)\n",
      "5.30,The Universal Approximation Power of Finite-Width Deep ReLU Networks,(5, 5, 6),(3, 4, 3)\n",
      "5.29,BLISS in Non-Isometric Embedding Spaces,(4, 6, 6),(5, 5, 4)\n",
      "5.29,Learning Global Additive Explanations for Neural Nets Using Model Distillation,(6, 4, 6),(5, 5, 4)\n",
      "5.27,Reducing Overconfident Errors outside the Known Distribution,(6, 4, 6),(4, 4, 3)\n",
      "5.27,Curiosity-Driven Experience Prioritization via Density Estimation,(6, 4, 6),(3, 4, 4)\n",
      "5.27,Towards Decomposed Linguistic Representation with Holographic Reduced Representation,(5, 5, 6),(4, 4, 3)\n",
      "5.27,Knowledge Distillation from Few Samples,(4, 6, 6),(4, 4, 3)\n",
      "5.27,Multi-way Encoding for Robustness to Adversarial Attacks,(4, 6, 6, 6),(4, 3, 2, 2)\n",
      "5.27,Hint-based Training for Non-Autoregressive Translation,(6, 6, 4),(4, 3, 4)\n",
      "5.27,Escaping Flat Areas via Function-Preserving Structural Network Modifications,(6, 4, 6),(3, 4, 4)\n",
      "5.27,Bayesian Deep Learning via Stochastic Gradient MCMC with a Stochastic Approximation Adaptation,(5, 4, 6),(4, 2, 5)\n",
      "5.27,Classification from Positive, Unlabeled and Biased Negative Data,(5, 6, 5),(5, 3, 3)\n",
      "5.27,Adaptive Neural Trees,(4, 6, 6),(4, 4, 3)\n",
      "5.27,Characterizing Attacks on Deep Reinforcement Learning,(5, 5, 6),(4, 4, 3)\n",
      "5.27,Learning Partially Observed PDE Dynamics with Neural Networks,(6, 5, 5),(3, 5, 3)\n",
      "5.27,Graph Classification with Geometric Scattering,(5, 6, 5),(4, 3, 4)\n",
      "5.27,Hierarchically Clustered Representation Learning,(5, 5, 6),(4, 4, 3)\n",
      "5.27,Graph Neural Networks with Generated Parameters for Relation Extraction,(4, 6, 6),(4, 3, 4)\n",
      "5.27,Learning to Refer to 3D Objects with Natural Language,(6, 6, 4),(4, 3, 4)\n",
      "5.25,Selective Convolutional Units: Improving CNNs via Channel Selectivity,(6, 5, 5),(2, 3, 3)\n",
      "5.25,NETWORK COMPRESSION USING CORRELATION ANALYSIS OF LAYER RESPONSES,(5, 6, 5),(5, 3, 4)\n",
      "5.25,Clean-Label Backdoor Attacks,(6, 7, 4),(2, 2, 4)\n",
      "5.25,Connecting the Dots Between MLE and RL for Sequence Generation,(5, 6, 5),(5, 3, 4)\n",
      "5.25,P^2IR: Universal Deep Node Representation via Partial Permutation Invariant Set Functions,(4, 7, 5, 5),(4, 4, 3, 5)\n",
      "5.25,Tangent-Normal Adversarial Regularization for Semi-supervised Learning,(5, 4, 7),(3, 5, 4)\n",
      "5.25,Policy Optimization via Stochastic Recursive Gradient Algorithm,(5, 6, 5),(3, 2, 3)\n",
      "5.25,Negotiating Team Formation Using Deep Reinforcement Learning,(5, 6, 5),(3, 2, 3)\n",
      "5.25,On the Ineffectiveness of Variance Reduced Optimization for Deep Learning,(5, 6, 5),(5, 3, 4)\n",
      "5.25,Neural Model-Based Reinforcement Learning for Recommendation,(5, 6, 5),(4, 3, 5)\n",
      "5.25,Optimal margin Distribution Network,(5, 6, 5),(5, 3, 4)\n",
      "5.25,Diverse Machine Translation with a Single Multinomial Latent Variable,(3, 6, 5, 7),(4, 4, 4, 4)\n",
      "5.25,Learning Internal Dense But External Sparse Structures of Deep Neural Network,(5, 5, 6),(3, 3, 2)\n",
      "5.23,Coverage and Quality Driven Training of Generative Image Models,(5, 4, 7),(4, 5, 4)\n",
      "5.23,Generalization and Regularization in DQN,(6, 5, 5),(3, 5, 5)\n",
      "5.23,LEARNING GENERATIVE MODELS FOR DEMIXING OF STRUCTURED SIGNALS FROM THEIR SUPERPOSITION USING GANS,(4, 5, 7),(5, 4, 4)\n",
      "5.23,Graph2Seq: Graph to Sequence Learning with Attention-Based Neural Networks,(6, 6, 4),(4, 4, 5)\n",
      "5.23,Mitigating Bias in Natural Language Inference Using Adversarial Learning,(4, 4, 8),(5, 4, 4)\n",
      "5.23,Improved Language Modeling by Decoding the Past,(6, 7, 3),(3, 5, 5)\n",
      "5.23,Unseen Action Recognition with Unpaired Adversarial Multimodal Learning,(7, 5, 4),(4, 4, 5)\n",
      "5.23,Neural Causal Discovery with Learnable Input Noise,(4, 4, 8),(5, 4, 4)\n",
      "5.23,CAML: Fast Context Adaptation via Meta-Learning,(4, 6, 6, 6),(5, 4, 2, 2)\n",
      "5.23,COCO-GAN: Conditional Coordinate Generative Adversarial Network,(6, 6, 4),(4, 4, 5)\n",
      "5.22,Low Latency Privacy Preserving Inference,(5, 6, 5),(3, 2, 4)\n",
      "5.22,Surprising Negative Results for Generative  Adversarial Tree Search ,(5, 5, 6),(3, 4, 2)\n",
      "5.21,Deep Neuroevolution: Genetic Algorithms are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning,(6, 6, 4, 3, 7),(4, 2, 4, 4, 5)\n",
      "5.20,Are Generative Classifiers More Robust to Adversarial Attacks?,(4, 6, 4, 8),(4, 3, 5, 3)\n",
      "5.20,Provable Guarantees on Learning Hierarchical Generative Models with Deep CNNs,(6, 6, 4),(3, 3, 4)\n",
      "5.20,Towards a better understanding of Vector Quantized Autoencoders,(5, 7, 3, 6),(4, 4, 4, 3)\n",
      "5.20,Generative Adversarial Networks for Extreme Learned Image Compression,(6, 6, 4),(3, 3, 4)\n",
      "5.20,Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures,(5, 7, 4),(3, 3, 4)\n",
      "5.20,Optimal Attacks against Multiple Classifiers,(5, 4, 6, 6),(4, 4, 4, 3)\n",
      "5.20,CNNSAT: Fast, Accurate Boolean Satisfiability using Convolutional Neural Networks,(5, 6, 5),(4, 2, 4)\n",
      "5.20,Purchase as Reward : Session-based  Recommendation by Imagination Reconstruction,(5, 6, 5),(3, 2, 5)\n",
      "5.20,Volumetric Convolution: Automatic Representation Learning in Unit Ball,(6, 5, 5),(2, 5, 3)\n",
      "5.18,Sorting out Lipschitz function approximation,(7, 5, 4),(3, 4, 4)\n",
      "5.18,Learning and Planning with a Semantic Model,(4, 7, 5),(4, 3, 4)\n",
      "5.18,Multi-task Learning with Gradient Communication,(5, 4, 7),(4, 4, 3)\n",
      "5.18,Adversarial Sampling for Active Learning,(6, 5, 5),(2, 4, 5)\n",
      "5.17,Dynamic Planning Networks,(4, 6, 6),(5, 2, 5)\n",
      "5.17,Adapting Auxiliary Losses Using Gradient Similarity,(4, 6, 6),(5, 4, 3)\n",
      "5.17,HyperGAN:  Exploring the Manifold of Neural Networks,(6, 5, 4),(5, 4, 3)\n",
      "5.15,What a difference a pixel makes: An empirical examination of features used by CNNs for categorisation,(4, 4, 7),(4, 4, 5)\n",
      "5.15,Learning From the Experience of Others: Approximate Empirical Bayes in Neural Networks,(6, 3, 7),(4, 5, 4)\n",
      "5.15,DiffraNet: Automatic Classification of Serial Crystallography Diffraction Patterns,(5, 3, 8),(4, 5, 4)\n",
      "5.15,N-Ary Quantization for CNN Model Compression and Inference Acceleration,(4, 4, 7),(4, 4, 5)\n",
      "5.15,Heated-Up Softmax Embedding,(8, 3, 5),(4, 5, 4)\n",
      "5.15, Large-Scale Visual Speech Recognition,(4, 3, 9),(4, 5, 4)\n",
      "5.15,On the Spectral Bias of Neural Networks,(4, 6, 5, 6),(4, 3, 3, 3)\n",
      "5.15,A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation,(4, 4, 7),(5, 3, 5)\n",
      "5.14,Improved robustness to adversarial examples using Lipschitz regularization of the loss,(6, 6, 4),(1, 3, 3)\n",
      "5.12,Playing the Game of Universal Adversarial Perturbations,(6, 5, 5),(1, 4, 3)\n",
      "5.10,Invariant-equivariant representation learning for multi-class data,(7, 5, 4),(2, 5, 3)\n",
      "5.10,Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks,(5, 4, 6),(3, 3, 4)\n",
      "5.10,Guided Evolutionary Strategies: Escaping the curse of dimensionality in random search,(5, 4, 6),(3, 3, 4)\n",
      "5.10,Transferring SLU Models in Novel Domains,(6, 5, 4),(4, 3, 3)\n",
      "5.10,Implicit Autoencoders,(3, 6, 6),(3, 4, 3)\n",
      "5.09,Cutting Down Training Memory by Re-fowarding,(6, 4, 4, 6),(3, 3, 2, 3)\n",
      "5.09,Local Stability and Performance of Simple Gradient Penalty -Wasserstein GAN,(5, 4, 6),(4, 3, 4)\n",
      "5.09,Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning,(7, 4, 4),(4, 3, 4)\n",
      "5.09,DecayNet: A Study on the Cell States of Long Short Term Memories,(8, 4, 4),(3, 4, 4)\n",
      "5.09,Discrete flow posteriors for variational inference in discrete dynamical systems,(4, 4, 7),(3, 4, 4)\n",
      "5.09,PAIRWISE AUGMENTED GANS WITH ADVERSARIAL RECONSTRUCTION LOSS,(4, 6, 5),(3, 4, 4)\n",
      "5.09,Simple Black-box Adversarial Attacks,(6, 6, 4),(3, 3, 5)\n",
      "5.09,Globally Soft Filter Pruning For Efficient Convolutional Neural Networks,(6, 5, 4),(4, 4, 3)\n",
      "5.09,Augment your batch: better training with larger batches,(4, 8, 4),(4, 3, 4)\n",
      "5.09,Co-manifold learning with missing data,(4, 4, 7),(4, 3, 4)\n",
      "5.09,Accelerated Value Iteration via Anderson Mixing,(7, 4, 4),(4, 4, 3)\n",
      "5.09,AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking,(5, 4, 6),(4, 3, 4)\n",
      "5.08,Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control,(6, 5, 4),(4, 5, 3)\n",
      "5.08,An Automatic Operation Batching Strategy for the Backward Propagation of Neural Networks Having Dynamic Computation Graphs,(5, 6, 4),(3, 5, 4)\n",
      "5.08,FAVAE: SEQUENCE DISENTANGLEMENT USING IN- FORMATION BOTTLENECK PRINCIPLE,(5, 6, 4),(4, 5, 4)\n",
      "5.08,Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach,(6, 4, 5),(5, 4, 4)\n",
      "5.08,PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention,(3, 6, 6),(4, 4, 5)\n",
      "5.08,TequilaGAN: How To Easily Identify GAN Samples,(4, 6, 5),(4, 5, 4)\n",
      "5.08,Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning,(7, 2, 7),(3, 5, 5)\n",
      "5.08,Physiological Signal Embeddings (PHASE) via Interpretable Stacked Models,(6, 5, 4),(5, 4, 4)\n",
      "5.07,Improving Generative Adversarial Imitation Learning with Non-expert Demonstrations,(5, 5, 7, 4),(3, 4, 3, 5)\n",
      "5.07,Causal Reasoning from Meta-reinforcement learning,(5, 4, 4, 7),(4, 3, 4, 4)\n",
      "5.00,Capacity of Deep Neural Networks under Parameter Quantization,(5, 5, 5),(3, 4, 3)\n",
      "5.00,Phrase-Based Attentions,(5, 5, 5),(4, 5, 5)\n",
      "5.00,MLPrune: Multi-Layer Pruning for Automated Neural Network Compression,(5, 6, 4),(5, 4, 4)\n",
      "5.00,Incremental Few-Shot Learning with Attention Attractor Networks,(5, 5, 5),(5, 3, 4)\n",
      "5.00,Neural Message Passing for Multi-Label Classification,(4, 6, 5),(4, 4, 2)\n",
      "5.00,Backplay: 'Man muss immer umkehren',(5, 5, 5),(4, 3, 4)\n",
      "5.00,An Alarm System for Segmentation Algorithm Based on Shape Model,(7, 3, 6, 5),(3, 5, 4, 4)\n",
      "5.00,SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning,(5, 5, 5),(4, 3, 4)\n",
      "5.00,Transfer Learning for Estimating Causal Effects Using Neural Networks,(7, 5, 3),(3, 4, 3)\n",
      "5.00,Déjà Vu: An Empirical Evaluation of the Memorization Properties of Convnets,(4, 5, 6),(2, 4, 2)\n",
      "5.00,Adversarial Audio Super-Resolution with Unsupervised Feature Losses,(4, 5, 6),(4, 4, 4)\n",
      "5.00,Learning Discriminators as Energy Networks in Adversarial Learning,(5, 5, 5),(5, 4, 4)\n",
      "5.00,An Energy-Based Framework for Arbitrary Label Noise Correction,(5, 5, 5),(4, 4, 5)\n",
      "5.00,Dissecting an Adversarial framework for Information Retrieval,(6, 5, 4),(4, 3, 4)\n",
      "5.00,Nesterov's method is the discretization of a differential equation with Hessian damping,(4, 5, 6),(5, 4, 5)\n",
      "5.00,ON THE EFFECTIVENESS OF TASK GRANULARITY FOR TRANSFER LEARNING,(5, 5, 5),(4, 4, 4)\n",
      "5.00,Finding Mixed Nash Equilibria of Generative Adversarial Networks,(4, 5, 6),(4, 5, 4)\n",
      "5.00,Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems,(5, 5, 5),(3, 3, 1)\n",
      "5.00,S3TA: A Soft, Spatial, Sequential, Top-Down Attention Model,(5, 5, 5),(4, 4, 4)\n",
      "5.00,Experience replay for continual learning,(5, 5, 5),(5, 4, 5)\n",
      "5.00,Model Comparison for Semantic Grouping,(5, 5, 5),(3, 3, 1)\n",
      "5.00,What Is in a Translation Unit?  Comparing Character and Subword Representations Beyond Translation,(5, 5, 5),(4, 4, 3)\n",
      "5.00,Convolutional Neural Networks combined with Runge-Kutta Methods,(4, 5, 6),(3, 4, 3)\n",
      "5.00,Denoise while Aggregating: Collaborative Learning in Open-Domain Question Answering,(4, 6, 5),(4, 4, 4)\n",
      "5.00,A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks,(5,),(4,)\n",
      "5.00,Consistent Jumpy Predictions for Videos and Scenes,(7, 4, 5),(2, 4, 4)\n",
      "5.00,k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks,(6, 5, 4),(4, 4, 4)\n",
      "5.00,TENSOR RING NETS ADAPTED DEEP MULTI-TASK LEARNING,(6, 5, 4),(4, 4, 4)\n",
      "5.00,End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition,(5, 5, 5),(3, 3, 3)\n",
      "5.00,Learning to remember: Dynamic Generative Memory for Continual Learning,(4, 3, 8),(5, 5, 5)\n",
      "5.00,Safe Policy Learning from Observations,(5, 5, 5),(4, 3, 4)\n",
      "5.00,Convergence Properties of Deep Neural Networks on Separable Data,(5, 5, 5),(4, 4, 3)\n",
      "5.00,High Resolution and Fast Face Completion via Progressively Attentive GANs,(5, 5, 5),(5, 2, 5)\n",
      "5.00,RelWalk -- A Latent Variable Model Approach to Knowledge Graph Embedding,(6, 5, 4),(4, 5, 4)\n",
      "5.00,Improving Gaussian mixture latent variable model convergence with Optimal Transport,(5, 5, 5),(3, 4, 4)\n",
      "5.00,Learning Representations of Categorical Feature Combinations via Self-Attention,(5, 5, 5),(4, 3, 4)\n",
      "5.00,Quantization for Rapid Deployment of Deep Neural Networks,(5, 5, 5),(3, 4, 4)\n",
      "5.00,Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles,(5, 6, 4),(4, 3, 3)\n",
      "5.00,Spread Divergences,(5, 4, 6),(4, 4, 4)\n",
      "5.00,A   RECURRENT NEURAL CASCADE-BASED MODEL FOR CONTINUOUS-TIME DIFFUSION PROCESS,(7, 4, 4),(4, 4, 4)\n",
      "5.00,Harmonic Unpaired Image-to-image Translation,(6, 5, 4),(5, 5, 5)\n",
      "5.00,Self-Binarizing Networks,(5, 5, 5),(4, 4, 4)\n",
      "5.00,Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep Learning,(6, 5, 4),(3, 3, 3)\n",
      "5.00,On the Relationship between Neural Machine Translation and Word Alignment,(4, 5, 6),(4, 4, 4)\n",
      "5.00,Dense Morphological Network: An Universal Function Approximator,(5, 5, 5),(3, 4, 5)\n",
      "5.00,ISA-VAE: Independent Subspace Analysis with Variational Autoencoders,(4, 7, 4),(3, 4, 5)\n",
      "5.00,Data Interpretation and Reasoning Over Scientific Plots,(6, 6, 3),(4, 4, 4)\n",
      "5.00,Bias Also Matters: Bias Attribution for Deep Neural Network Explanation,(5, 5, 5),(5, 5, 4)\n",
      "5.00,Ada-Boundary: Accelerating the DNN Training via Adaptive Boundary Batch Selection,(5, 5, 5),(4, 3, 4)\n",
      "5.00,Characterizing Malicious Edges targeting on Graph Neural Networks,(5, 5, 5),(5, 3, 3)\n",
      "5.00,Traditional and Heavy Tailed Self Regularization in Neural Network Models,(4, 4, 6),(4, 1, 5)\n",
      "5.00,Boosting Robustness Certification of Neural Networks,(5, 6, 4),(4, 3, 3)\n",
      "5.00,Learning Diverse Generations using Determinantal Point Processes,(5, 5, 5),(4, 5, 4)\n",
      "5.00,Spatial-Winograd Pruning Enabling Sparse Winograd Convolution,(5, 4, 6),(3, 3, 3)\n",
      "5.00,Novel positional encodings to enable tree-structured transformers,(5, 4, 6),(3, 3, 3)\n",
      "5.00,RedSync : Reducing Synchronization Traffic for Distributed Deep Learning,(5, 5, 5),(3, 4, 4)\n",
      "5.00,SupportNet: solving catastrophic forgetting in class incremental learning with support data,(6, 5, 4),(4, 4, 4)\n",
      "5.00,Inferring Reward Functions from Demonstrators with Unknown Biases,(5, 5, 5),(4, 3, 4)\n",
      "5.00,Learning to Progressively Plan,(5, 5, 5),(3, 3, 3)\n",
      "5.00,A theoretical framework for deep and locally connected ReLU network,(3, 7, 5),(4, 4, 3)\n",
      "5.00,Engaging Image Captioning Via Personality,(5, 5, 5),(5, 5, 5)\n",
      "5.00,A PRIVACY-PRESERVING IMAGE CLASSIFICATION FRAMEWORK WITH A LEARNABLE OBFUSCATOR,(5, 5, 5),(4, 4, 5)\n",
      "5.00,Accelerated Gradient Flow for Probability Distributions,(4, 5, 6),(4, 3, 4)\n",
      "5.00,Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets,(6, 4, 5),(4, 4, 4)\n",
      "5.00,INFORMATION MAXIMIZATION AUTO-ENCODING,(5, 6, 4),(5, 4, 4)\n",
      "5.00,Weakly-supervised Knowledge Graph Alignment with Adversarial Learning,(5, 5, 5),(3, 4, 3)\n",
      "5.00,Causal importance of orientation selectivity for generalization in image recognition,(7, 5, 4),(2, 4, 4)\n",
      "5.00,Learning Joint Wasserstein Auto-Encoders for Joint Distribution Matching,(6, 5, 4),(4, 4, 4)\n",
      "5.00,ChoiceNet: Robust Learning by  Revealing Output Correlations,(4, 6, 5),(4, 4, 5)\n",
      "5.00,VHEGAN: Variational Hetero-Encoder Randomized GAN for Zero-Shot Learning,(5, 5, 5),(4, 5, 5)\n",
      "5.00,Excitation Dropout: Encouraging Plasticity in Deep Neural Networks,(5, 5, 5),(4, 3, 4)\n",
      "5.00,Deep clustering based on a mixture of autoencoders,(6, 4, 5),(3, 3, 5)\n",
      "5.00,Riemannian TransE: Multi-relational Graph Embedding in Non-Euclidean Space,(5, 5, 5),(5, 3, 2)\n",
      "5.00,Multi-Modal Generative Adversarial Networks for Diverse Datasets,(4, 6),(4, 4)\n",
      "5.00,Transferrable End-to-End Learning for Protein Interface Prediction,(5, 5, 5),(3, 3, 4)\n",
      "5.00,Inducing Cooperation via Learning to reshape rewards in semi-cooperative multi-agent reinforcement learning,(5, 5, 5),(3, 4, 4)\n",
      "5.00,Generative Adversarial Models for Learning Private and Fair Representations,(4, 4, 7),(3, 3, 3)\n",
      "5.00,Discriminative out-of-distribution detection for semantic segmentation,(4, 7, 3),(4, 5, 3)\n",
      "5.00,Learning with Random Learning Rates.,(6, 4, 5),(4, 4, 4)\n",
      "4.93,A Case for Object Compositionality in Deep Generative Models of Images,(5, 4, 6),(5, 5, 4)\n",
      "4.93,Canonical Correlation Analysis with Implicit Distributions,(5, 6, 4),(5, 4, 5)\n",
      "4.92,LARGE BATCH SIZE TRAINING OF NEURAL NETWORKS WITH ADVERSARIAL TRAINING AND SECOND-ORDER INFORMATION,(4, 7, 4),(5, 4, 4)\n",
      "4.92,Dynamic Graph Representation Learning via Self-Attention Networks,(4, 6, 5),(5, 4, 4)\n",
      "4.92,Analyzing Federated Learning through an Adversarial Lens,(5, 4, 6),(4, 5, 4)\n",
      "4.92,Deep Reinforcement Learning of Universal Policies with Diverse Environment Summaries,(4, 6, 5),(5, 4, 4)\n",
      "4.92,Unicorn: Continual learning with a universal, off-policy agent,(4, 5, 6),(5, 4, 4)\n",
      "4.92,Correction Networks: Meta-Learning for Zero-Shot Learning,(4, 4, 7),(5, 4, 4)\n",
      "4.92,Unified recurrent network for many feature types,(4, 6, 4, 7),(4, 3, 4, 2)\n",
      "4.92,End-to-end learning of pharmacological assays from high-resolution microscopy images,(6, 3, 5),(5, 3, 4)\n",
      "4.92,Graph2Seq: Scalable Learning Dynamics for Graphs,(6, 5, 4),(3, 5, 4)\n",
      "4.92,Human-Guided Column Networks: Augmenting Deep Learning with Advice,(6, 4, 5),(3, 4, 5)\n",
      "4.91,Conditional Network Embeddings,(4, 6, 5),(4, 3, 4)\n",
      "4.91,Likelihood-based Permutation Invariant Loss Function for Probability Distributions,(5, 6, 4),(4, 3, 4)\n",
      "4.91,COLLABORATIVE MULTIAGENT REINFORCEMENT LEARNING  IN HOMOGENEOUS SWARMS,(6, 4, 5),(3, 4, 4)\n",
      "4.91,The Effectiveness of Pre-Trained Code Embeddings,(6, 4, 5),(3, 4, 4)\n",
      "4.91,An Adversarial Learning Framework for a Persona-based Multi-turn Dialogue Model,(6, 4, 5),(3, 4, 4)\n",
      "4.91,Efficient Codebook and Factorization for Second Order Representation Learning,(4, 6, 5),(5, 4, 2)\n",
      "4.91,Empirical observations on the instability of aligning word vector spaces with GANs,(4, 6, 5),(4, 3, 4)\n",
      "4.91,Few-shot Classification on Graphs with Structural Regularized GCNs,(4, 6, 5),(4, 3, 4)\n",
      "4.91,Towards Language Agnostic Universal Representations,(5, 4, 6),(4, 4, 3)\n",
      "4.91,Towards Resisting Large Data Variations via Introspective Learning,(4, 5, 6),(4, 4, 3)\n",
      "4.90,Understand the dynamics of GANs via Primal-Dual Optimization,(4, 5, 6),(4, 3, 3)\n",
      "4.90,The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration,(7, 4, 4),(3, 3, 4)\n",
      "4.90,Interpretable Continual Learning,(4, 5, 6),(4, 3, 3)\n",
      "4.90,Using Ontologies To Improve Performance In Massively Multi-label Prediction,(6, 5, 4),(3, 3, 4)\n",
      "4.90,Learning to control self-assembling morphologies: a study of generalization via modularity,(4, 7, 4),(3, 3, 4)\n",
      "4.89,Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations,(7, 3, 6),(2, 4, 3)\n",
      "4.86,A Better Baseline for Second Order Gradient Estimation in Stochastic Computation Graphs,(6, 5, 6, 3),(3, 4, 3, 4)\n",
      "4.86,Optimistic Acceleration for Optimization,(5, 6, 5, 4),(4, 2, 4, 4)\n",
      "4.85,Reduced-Gate Convolutional LSTM Design Using Predictive Coding for Next-Frame Video Prediction,(5, 3, 7),(4, 5, 4)\n",
      "4.85,Generative Adversarial Network Training is a Continual Learning Problem,(5, 3, 7),(4, 5, 4)\n",
      "4.85,Where and when to look? Spatial-temporal attention for action recognition in videos,(6, 3, 6),(4, 5, 4)\n",
      "4.85,Approximation capability of neural networks on sets of probability measures and tree-structured data,(6, 5, 4),(3, 5, 5)\n",
      "4.85,Robust Determinantal Generative Classifier for Noisy Labels and Adversarial Attacks,(3, 7, 4),(4, 5, 4)\n",
      "4.83,Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference,(5, 4, 6),(4, 5, 3)\n",
      "4.83,SnapQuant: A Probabilistic and Nested Parameterization for Binary Networks,(4, 6, 5),(5, 3, 4)\n",
      "4.83,Generative Ensembles for Robust Anomaly Detection,(5, 4, 6),(4, 5, 3)\n",
      "4.83,Zero-shot Dual Machine Translation,(4, 6, 5),(5, 3, 4)\n",
      "4.83,What Information Does a ResNet Compress?,(4, 4, 6),(4, 3, 5)\n",
      "4.83,The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Minima and Regularization Effects,(4, 6, 5),(5, 3, 4)\n",
      "4.83,Effective Path: Know the Unknowns of Neural Network,(4, 4, 6),(4, 3, 5)\n",
      "4.83,Structured Content Preservation for Unsupervised Text Style Transfer,(5, 6, 4),(4, 3, 5)\n",
      "4.82,Reinforced Imitation Learning from Observations,(6, 5, 4),(2, 5, 4)\n",
      "4.82,Probabilistic Semantic Embedding,(7, 4, 4),(3, 4, 4)\n",
      "4.82,NATTACK: A STRONG AND UNIVERSAL GAUSSIAN BLACK-BOX ADVERSARIAL ATTACK,(7, 4, 4),(3, 3, 5)\n",
      "4.82,Intrinsic Social Motivation via Causal Influence in Multi-Agent RL,(5, 4, 6),(3, 5, 3)\n",
      "4.82,Metric-Optimized Example Weights,(4, 4, 7),(4, 4, 3)\n",
      "4.82,Visual Imitation with a Minimal Adversary,(5, 3, 6),(4, 3, 4)\n",
      "4.82,PA-GAN: Improving GAN Training by Progressive Augmentation,(4, 5, 5),(2, 5, 4)\n",
      "4.80,Cross-Entropy Loss Leads To Poor Margins,(3, 4, 8, 5, 5),(4, 5, 3, 4, 4)\n",
      "4.80,Advocacy Learning,(4, 4, 8),(4, 4, 2)\n",
      "4.80,Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks,(4, 6, 4),(4, 4, 2)\n",
      "4.80,MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING,(5, 6, 3),(3, 4, 3)\n",
      "4.80,TherML: The Thermodynamics of Machine Learning,(7, 3, 5),(3, 4, 3)\n",
      "4.80,Learning Abstract Models for Long-Horizon Exploration,(4, 5, 6),(4, 4, 2)\n",
      "4.80,Representation-Constrained Autoencoders and an Application to Wireless Positioning,(5, 4, 6),(4, 4, 2)\n",
      "4.78,Learning Information Propagation in the Dynamical Systems via Information Bottleneck Hierarchy,(5, 4, 5),(3, 2, 4)\n",
      "4.78,Probabilistic Binary Neural Networks,(6, 5, 3),(4, 2, 3)\n",
      "4.78,On Regularization and Robustness of Deep Neural Networks,(5, 4, 6),(3, 4, 2)\n",
      "4.77,Open Vocabulary Learning on Source Code with a Graph-Structured Cache,(4, 4, 6),(4, 4, 5)\n",
      "4.77,Like What You Like: Knowledge Distill via Neuron Selectivity Transfer,(4, 4, 6),(4, 4, 5)\n",
      "4.77,Three continual learning scenarios and a case for generative replay,(4, 4, 6),(4, 4, 5)\n",
      "4.77,Unsupervised Image to Sequence Translation with Canvas-Drawer Networks,(4, 6, 4),(4, 5, 4)\n",
      "4.77,Variational Smoothing in Recurrent Neural Network Language Models,(7, 6, 2),(4, 4, 5)\n",
      "4.76,Multi-turn Dialogue Response Generation in an Adversarial Learning Framework,(4, 4, 6, 5),(4, 4, 4, 5)\n",
      "4.75,Learning Physics Priors for Deep Reinforcement Learing,(5, 4, 5),(4, 3, 5)\n",
      "4.75,Iteratively Learning from the Best,(6, 3, 6),(3, 5, 4)\n",
      "4.75,When Will Gradient Methods Converge to Max-margin Classifier under ReLU Models?,(5, 4, 5),(5, 3, 4)\n",
      "4.73,Effective and Efficient Batch Normalization Using Few Uncorrelated Data for Statistics' Estimation,(4, 5, 5),(3, 3, 5)\n",
      "4.73,Expressiveness in Deep Reinforcement Learning,(6, 4, 4),(4, 3, 4)\n",
      "4.73,Gradient Descent Happens in a Tiny Subspace,(4, 4, 6),(3, 4, 4)\n",
      "4.73,Neural Variational Inference For Embedding Knowledge Graphs,(5, 5, 4),(3, 5, 3)\n",
      "4.73,GENERALIZED ADAPTIVE MOMENT ESTIMATION,(3, 4, 7),(4, 3, 4)\n",
      "4.73,Improved resistance of neural networks to adversarial images through generative pre-training,(4, 4, 6),(4, 3, 4)\n",
      "4.73,Integral Pruning on Activations and Weights for Efficient Neural Networks,(4, 5, 5),(3, 4, 4)\n",
      "4.73,Manifold Alignment via Feature Correspondence,(5, 5, 4),(4, 4, 3)\n",
      "4.73,MixFeat: Mix Feature in Latent Space Learns Discriminative Space,(6, 4, 4),(4, 4, 3)\n",
      "4.73,Link Prediction in Hypergraphs using Graph Convolutional Networks,(6, 5, 4),(2, 4, 5)\n",
      "4.73,Few-Shot Learning by Exploiting Object Relation,(6, 4, 4),(4, 4, 3)\n",
      "4.73,Self-Supervised Generalisation with Meta Auxiliary Learning,(4, 4, 6),(3, 4, 4)\n",
      "4.73,An Efficient Network for Predicting Time-Varying Distributions,(5, 4, 5),(4, 3, 4)\n",
      "4.73,Architecture Compression,(6, 4, 4),(4, 3, 4)\n",
      "4.73,Double Neural Counterfactual Regret Minimization,(5, 6, 4),(4, 2, 5)\n",
      "4.71,A fast quasi-Newton-type method for large-scale stochastic optimisation,(5, 5, 4),(5, 5, 4)\n",
      "4.71,N/A,(4, 4, 6),(4, 5, 5)\n",
      "4.70,Feature prioritization and regularization improve standard accuracy and adversarial robustness,(5, 4, 5),(5, 3, 2)\n",
      "4.70,SSoC: Learning Spontaneous and Self-Organizing Communication for Multi-Agent Collaboration,(4, 5, 5),(3, 3, 4)\n",
      "4.70,Stochastic Learning of Additive Second-Order Penalties with  Applications to Fairness,(5, 5, 4),(3, 4, 3)\n",
      "4.69,Pooling Is Neither Necessary nor Sufficient for Appropriate Deformation Stability in CNNs,(5, 4, 5, 5),(5, 4, 2, 2)\n",
      "4.69,Analysis of Memory Organization for Dynamic Neural Networks,(7, 5, 3),(3, 5, 5)\n",
      "4.69,Variational Sparse Coding,(4, 5, 5),(4, 5, 4)\n",
      "4.69,Rectified Gradient: Layer-wise Thresholding for Sharp and Coherent Attribution Maps,(5, 5, 4),(5, 4, 4)\n",
      "4.67,Shaping representations through communication,(5, 4, 5),(4, 4, 4)\n",
      "4.67,Unsupervised Disentangling Structure and Appearance,(6, 5, 3),(4, 4, 4)\n",
      "4.67,Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering,(4, 5, 5),(4, 4, 4)\n",
      "4.67,Partially Mutual Exclusive Softmax for Positive and Unlabeled data,(5, 4, 5),(4, 4, 4)\n",
      "4.67,Over-parameterization Improves Generalization in the XOR Detection Problem,(4, 5, 5),(4, 4, 4)\n",
      "4.67,Context-aware Forecasting for Multivariate Stationary Time-series,(5, 5, 4),(3, 5, 4)\n",
      "4.67,Penetrating the Fog: the Path to Efficient CNN Models,(5, 4, 5),(3, 3, 3)\n",
      "4.67,Siamese Capsule Networks,(5, 6, 3),(4, 4, 4)\n",
      "4.67,Learning with Little Data: Evaluation of Deep Learning Algorithms,(6, 4, 4),(4, 3, 5)\n",
      "4.67,On Accurate Evaluation of GANs for Language Generation,(5, 3, 6),(4, 4, 4)\n",
      "4.67,Text Infilling,(3, 5, 6),(4, 4, 4)\n",
      "4.67,Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication,(6, 3, 5),(4, 4, 4)\n",
      "4.67,Successor Options : An Option Discovery Algorithm for Reinforcement Learning,(4, 5, 6, 4),(5, 4, 4, 5)\n",
      "4.67,Zero-training Sentence Embedding via Orthogonal Basis,(5, 4, 5),(4, 4, 4)\n",
      "4.67,HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE OF CONVOLUTIONAL NEURAL NETWORKS,(6, 4, 4),(4, 4, 4)\n",
      "4.67,Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization,(4, 4, 6),(4, 4, 4)\n",
      "4.67,Learning Gibbs-regularized GANs with variational discriminator reparameterization,(5, 5, 4),(3, 5, 4)\n",
      "4.67,Online Bellman Residue Minimization via Saddle Point Optimization,(5, 5, 4),(4, 4, 4)\n",
      "4.67,A Unified View of Deep Metric Learning via Gradient Analysis,(3, 6, 5),(4, 4, 4)\n",
      "4.67,Learning to Drive by Observing the Best and Synthesizing the Worst,(3, 6, 5),(4, 4, 4)\n",
      "4.67,Compound Density Networks,(4, 5, 5),(4, 4, 4)\n",
      "4.67,Efficient Dictionary Learning with Gradient Descent,(5, 4, 5),(4, 3, 2)\n",
      "4.67,Count-Based Exploration with the Successor Representation,(5, 5, 4),(4, 2, 3)\n",
      "4.67,Boosting Trust Region Policy Optimization by Normalizing flows Policy,(6, 4, 4),(4, 4, 4)\n",
      "4.67,Computation-Efficient Quantization Method for Deep Neural Networks,(4, 5, 5),(4, 4, 4)\n",
      "4.67,Dual Skew Divergence Loss for Neural Machine Translation,(3, 6, 5),(4, 4, 4)\n",
      "4.67,Scalable Neural Theorem Proving on Knowledge Bases and Natural Language,(4, 5, 5),(3, 3, 3)\n",
      "4.67,Using GANs for Generation of Realistic City-Scale Ride Sharing/Hailing Data Sets,(4, 5, 5),(4, 4, 4)\n",
      "4.64,CGNF: Conditional Graph Neural Fields,(5, 4, 5),(4, 5, 5)\n",
      "4.64,Investigating CNNs' Learning Representation under label noise,(5, 4, 5),(4, 5, 5)\n",
      "4.64,Progressive Weight Pruning Of Deep Neural Networks Using ADMM,(5, 5, 4),(3, 4, 4)\n",
      "4.64,Sufficient Conditions for Robustness to Adversarial Examples: a Theoretical and Empirical Study with Bayesian Neural Networks,(5, 5, 4),(4, 3, 4)\n",
      "4.64,Estimating Heterogeneous Treatment Effects Using Neural Networks With The Y-Learner,(5, 5, 4),(3, 4, 4)\n",
      "4.64,How Training Data Affect the Accuracy and Robustness of Neural Networks for Image Classification,(4, 5, 5),(4, 3, 4)\n",
      "4.64,Outlier Detection from Image Data,(4, 5, 5),(4, 3, 4)\n",
      "4.64,Exploiting Environmental Variation to Improve Policy Robustness in  Reinforcement Learning,(5, 3, 6),(3, 4, 4)\n",
      "4.64,ON BREIMAN’S DILEMMA IN NEURAL NETWORKS: SUCCESS AND FAILURE OF NORMALIZED MARGINS,(4, 5, 5),(4, 4, 3)\n",
      "4.64,Learning Graph Representations by Dendrograms,(4, 5, 5),(4, 4, 3)\n",
      "4.64,Multi-Grained Entity Proposal Network for Named Entity Recognition,(5, 5, 4),(4, 3, 4)\n",
      "4.64,Differential Equation Networks,(5, 4, 5),(3, 4, 4)\n",
      "4.64,Consistency-based anomaly detection with adaptive multiple-hypotheses predictions,(4, 5, 5),(4, 3, 4)\n",
      "4.64,Measuring Density and Similarity of Task Relevant Information in Neural Representations,(4, 5, 5),(4, 4, 3)\n",
      "4.64,On the Geometry of Adversarial Examples,(5, 3, 6),(3, 4, 4)\n",
      "4.64,SEGEN: SAMPLE-ENSEMBLE GENETIC EVOLUTIONARY NETWORK MODEL,(5, 5, 4),(2, 5, 4)\n",
      "4.64,Predictive Uncertainty through Quantization,(5, 4, 5),(3, 4, 4)\n",
      "4.62,Pushing the bounds of dropout,(5, 5, 4),(3, 2, 3)\n",
      "4.62,Learning shared manifold representation of images and attributes for generalized zero-shot learning,(4, 5, 5),(5, 4, 4)\n",
      "4.62,Differentiable Expected BLEU for Text Generation,(4, 4, 6),(4, 5, 4)\n",
      "4.62,Noise-Tempered Generative Adversarial Networks,(4, 5, 5),(5, 4, 4)\n",
      "4.62,Diagnosing Language Inconsistency in Cross-Lingual Word Embeddings,(6, 4, 4),(4, 4, 5)\n",
      "4.62,Generating Realistic Stock Market Order Streams,(5, 5, 4),(4, 4, 5)\n",
      "4.62,Geometry aware convolutional filters for omnidirectional images representation,(4, 6, 4),(4, 4, 5)\n",
      "4.62,Answer-based Adversarial Training for Generating Clarification Questions,(4, 6, 4),(5, 4, 4)\n",
      "4.62,Conscious Inference for Object Detection,(4, 6, 4),(4, 4, 5)\n",
      "4.62,Stability of Stochastic Gradient Method with Momentum for Strongly Convex Loss Functions,(4, 6, 4),(5, 4, 4)\n",
      "4.62,Visualizing and Discovering Behavioural Weaknesses in Deep Reinforcement Learning,(5, 5, 4),(4, 4, 5)\n",
      "4.62,PRUNING IN TRAINING: LEARNING AND RANKING SPARSE CONNECTIONS IN DEEP CONVOLUTIONAL NETWORKS,(5, 5, 4),(4, 4, 5)\n",
      "4.62,Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks,(4, 5, 5),(5, 5, 3)\n",
      "4.60,Cautious Deep Learning,(4, 7, 4),(3, 2, 5)\n",
      "4.60,Theoretical and Empirical Study of Adversarial Examples,(5, 5, 4),(2, 4, 4)\n",
      "4.60,Confidence Calibration in Deep Neural Networks through Stochastic Inferences,(5, 3, 5),(4, 2, 4)\n",
      "4.60,Low-Rank Matrix Factorization of LSTM as Effective Model Compression,(5, 5, 4),(4, 2, 4)\n",
      "4.60,DEEP-TRIM: REVISITING L1 REGULARIZATION FOR CONNECTION PRUNING OF DEEP NETWORK,(4, 6, 4),(4, 3, 3)\n",
      "4.60,Teaching to Teach by Structured Dark Knowledge,(4, 3, 6),(1, 4, 5)\n",
      "4.60,A Proposed Hierarchy of Deep Learning Tasks,(6, 4, 4),(3, 5, 2)\n",
      "4.60,Approximation and non-parametric estimation of ResNet-type convolutional neural networks via block-sparse fully-connected neural networks,(4, 6, 4),(4, 3, 3)\n",
      "4.60,Object-Oriented Model Learning through Multi-Level Abstraction,(4, 4, 6),(4, 3, 3)\n",
      "4.60,Mean Replacement Pruning  ,(5, 4, 5),(3, 4, 3)\n",
      "4.58,An investigation of model-free planning,(5, 5, 4),(4, 3, 5)\n",
      "4.58,Accelerated Sparse Recovery Under Structured Measurements,(4, 5, 5),(5, 3, 4)\n",
      "4.58,Learned optimizers that outperform on wall-clock and validation loss,(4, 5, 5),(5, 3, 4)\n",
      "4.58,Expanding the Reach of Federated Learning by Reducing Client Resource Requirements,(4, 5, 5),(5, 3, 4)\n",
      "4.58,Ergodic Measure Preserving Flows,(5, 5, 4),(4, 3, 5)\n",
      "4.58,Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels,(6, 5, 3),(3, 5, 4)\n",
      "4.58,Inference of unobserved event streams with neural Hawkes particle smoothing,(5, 4, 5),(4, 5, 3)\n",
      "4.58,Convergence Guarantees for RMSProp and ADAM in Non-Convex Optimization and an Empirical Comparison to Nesterov Acceleration,(5, 4, 5),(3, 5, 4)\n",
      "4.57,Maximum a Posteriori on a Submanifold: a General Image Restoration Method with GAN,(4, 4, 6),(5, 5, 4)\n",
      "4.57,Interpreting Adversarial Robustness: A View from Decision Surface in Input Space,(3, 6, 5),(5, 4, 5)\n",
      "4.57,NEURAL MALWARE CONTROL WITH DEEP REINFORCEMENT LEARNING,(5, 4, 5),(2, 3, 2)\n",
      "4.57,3D-RelNet: Joint Object and Relational Network for 3D Prediction,(6, 3, 5),(4, 5, 5)\n",
      "4.56,Transfer Value or Policy? A Value-centric Framework Towards Transferrable Continuous Reinforcement Learning,(5, 4, 5),(3, 4, 2)\n",
      "4.56,Fast Binary Functional Search on Graph,(4, 5),(4, 5)\n",
      "4.56,Unsupervised Expectation Learning for Multisensory Binding,(4, 5, 5),(4, 3, 2)\n",
      "4.56,Noisy Information Bottlenecks for Generalization,(7, 5, 3),(2, 3, 4)\n",
      "4.55,Improving latent variable descriptiveness by modelling rather than ad-hoc factors,(4, 4, 6),(4, 4, 3)\n",
      "4.55,TabNN: A Universal Neural Network Solution for Tabular Data,(5, 4, 5),(4, 5, 2)\n",
      "4.55,A Study of Robustness of Neural Nets Using Approximate Feature Collisions,(6, 4, 4),(3, 4, 4)\n",
      "4.55,On the Convergence and Robustness of Batch Normalization,(6, 4, 4),(3, 3, 5)\n",
      "4.55,Learning Hash Codes via Hamming Distance Targets,(4, 6, 4),(3, 3, 5)\n",
      "4.55,Logically-Constrained Neural Fitted Q-iteration,(5, 4, 5),(2, 5, 4)\n",
      "4.54,Domain Adaptive Transfer Learning,(3, 4, 7),(5, 4, 4)\n",
      "4.50,FAST OBJECT LOCALIZATION VIA SENSITIVITY ANALYSIS,(4, 6, 3),(3, 5, 4)\n",
      "4.50,Online abstraction with MDP homomorphisms for Deep Learning,(4, 5),(3, 3)\n",
      "4.50,Improving On-policy Learning with Statistical Reward Accumulation,(4, 5),(3, 3)\n",
      "4.50,Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning,(5, 4),(4, 4)\n",
      "4.50,SIMILE: Introducing Sequential Information towards More Effective Imitation Learning,(6, 4, 4),(3, 5, 4)\n",
      "4.50,Holographic and other Point Set Distances for Machine Learning,(4, 3, 7),(3, 4, 3)\n",
      "4.50,Tinkering with black boxes: counterfactuals uncover modularity in generative models,(6, 4, 4),(3, 4, 5)\n",
      "4.46,Generalized Label Propagation Methods for Semi-Supervised Learning,(4, 3, 6),(4, 4, 5)\n",
      "4.46,DEEP GEOMETRICAL GRAPH CLASSIFICATION,(4, 3, 6),(4, 4, 5)\n",
      "4.45,Coupled Recurrent Models for Polyphonic Music Composition,(7, 3, 4),(3, 4, 4)\n",
      "4.45,Hiding Objects from Detectors: Exploring Transferrable Adversarial Patterns,(6, 4, 3),(4, 4, 3)\n",
      "4.45,Prototypical Examples in Deep Learning: Metrics, Characteristics, and Utility,(3, 5, 5),(3, 4, 4)\n",
      "4.45,Bridging HMMs and RNNs through Architectural Transformations,(5, 3, 5),(4, 3, 4)\n",
      "4.45,Meta-Learning with Individualized Feature Space for Few-Shot Classification,(5, 5, 3),(4, 4, 3)\n",
      "4.45,Explicit Recall for Efficient Exploration,(7, 4, 3),(3, 4, 4)\n",
      "4.44,Unification of  Recurrent   Neural Network Architectures and Quantum Inspired Stable Design ,(5, 4, 4, 5),(2, 2, 3, 2)\n",
      "4.43,One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL,(4, 4, 5, 5),(4, 4, 3, 3)\n",
      "4.42,Low-Cost Parameterizations of Deep Convolutional Neural Networks,(4, 4, 5),(3, 4, 5)\n",
      "4.42,Meta-learning with differentiable closed-form solvers,(5, 2, 7),(3, 5, 4)\n",
      "4.42,TFGAN: Improving Conditioning for Text-to-Video Synthesis,(6, 3, 5),(3, 5, 4)\n",
      "4.42,Stochastic Quantized Activation: To prevent Overfitting in Fast Adversarial Training,(4, 5, 4),(3, 5, 4)\n",
      "4.40,The Conditional Entropy Bottleneck,(6, 2, 6),(3, 4, 3)\n",
      "4.40,Select Via Proxy: Efficient Data Selection For Training Deep Networks,(4, 4, 5),(4, 2, 4)\n",
      "4.40,Variadic Learning by Bayesian Nonparametric Deep Embedding,(5, 4, 4),(4, 2, 4)\n",
      "4.40,Isolating effects of age with fair representation learning when assessing dementia,(4, 4, 5),(3, 3, 4)\n",
      "4.40,TopicGAN: Unsupervised Text Generation from Explainable Latent Topics,(4, 4, 5),(2, 4, 4)\n",
      "4.40,Unsupervised classification into unknown number of classes,(4, 4, 5),(2, 4, 4)\n",
      "4.38,PIE: Pseudo-Invertible Encoder,(3, 5, 5),(4, 5, 4)\n",
      "4.38,Total Style Transfer with a Single Feed-Forward Network,(4, 5, 4),(5, 5, 3)\n",
      "4.38,Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training?,(7, 4, 2),(5, 3, 5)\n",
      "4.38,Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data,(5, 4, 4),(5, 4, 4)\n",
      "4.38,Sample Efficient Deep Neuroevolution in Low Dimensional Latent Space,(4, 5, 4),(4, 5, 4)\n",
      "4.38,Context Dependent Modulation of Activation Function,(4, 4, 4, 4, 6),(5, 3, 4, 5, 4)\n",
      "4.36,Selectivity metrics can overestimate the selectivity of units: a case study on AlexNet,(5, 6, 3),(3, 3, 5)\n",
      "4.36,Classifier-agnostic saliency map extraction,(4, 5, 4),(3, 4, 4)\n",
      "4.36,Visual Imitation Learning with Recurrent Siamese Networks,(4, 4, 5),(4, 3, 4)\n",
      "4.36,PRUNING WITH HINTS: AN EFFICIENT FRAMEWORK FOR MODEL ACCELERATION,(4, 5, 4),(3, 4, 4)\n",
      "4.36,SALSA-TEXT : SELF ATTENTIVE LATENT SPACE BASED ADVERSARIAL TEXT GENERATION,(4, 4, 5),(3, 4, 4)\n",
      "4.36,Targeted Adversarial Examples for Black Box Audio Systems,(4, 6, 3),(3, 4, 4)\n",
      "4.36,Rating Continuous Actions in Spatial Multi-Agent Problems,(5, 4, 4),(4, 3, 4)\n",
      "4.36,COMPOSITION AND DECOMPOSITION OF GANS,(4, 5, 4),(5, 5, 4)\n",
      "4.36,A SINGLE SHOT PCA-DRIVEN ANALYSIS OF NETWORK STRUCTURE TO REMOVE REDUNDANCY,(4, 4, 5),(5, 4, 5)\n",
      "4.33,Evolving intrinsic motivations for altruistic behavior,(5, 6, 3),(3, 2, 4)\n",
      "4.33,Learning a Neural-network-based Representation for Open Set Recognition,(4, 4, 5),(4, 4, 4)\n",
      "4.33,CHEMICAL NAMES STANDARDIZATION USING NEURAL SEQUENCE TO SEQUENCE MODEL,(4, 3, 7),(4, 5, 3)\n",
      "4.33,In Your Pace: Learning the Right Example at the Right Time,(5, 4, 4),(4, 4, 4)\n",
      "4.33,Sentence Encoding with Tree-Constrained Relation Networks,(3, 5, 5),(4, 4, 4)\n",
      "4.33,Learning to Control Visual Abstractions for Structured Exploration in Deep Reinforcement Learning,(4, 5, 4),(3, 3, 3)\n",
      "4.33,EFFICIENT SEQUENCE LABELING WITH ACTOR-CRITIC TRAINING,(5, 4, 4),(4, 3, 5)\n",
      "4.33,ACE: Artificial Checkerboard Enhancer to Induce and Evade Adversarial Attacks,(4, 4, 6),(2, 3, 1)\n",
      "4.33,On the effect of the activation function on the distribution of hidden nodes in a deep network,(4, 5, 4),(3, 3, 3)\n",
      "4.33,Successor Uncertainties: exploration and uncertainty in temporal difference learning,(4, 5, 4),(3, 4, 5)\n",
      "4.33,Q-map: a Convolutional Approach for Goal-Oriented Reinforcement Learning,(5, 4, 4),(4, 5, 3)\n",
      "4.33,ODIN: Outlier Detection In Neural Networks,(5, 4, 4),(4, 4, 4)\n",
      "4.33,Deep Ensemble Bayesian Active Learning : Adressing the Mode Collapse issue in Monte Carlo dropout via Ensembles,(4, 4, 5),(4, 4, 4)\n",
      "4.33,Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation,(5, 3, 5),(5, 5, 5)\n",
      "4.33,Neural Probabilistic Motor Primitives for Humanoid Control,(3, 6, 4),(4, 4, 4)\n",
      "4.33,From Nodes to Networks: Evolving Recurrent Neural Networks,(5, 4, 4),(4, 4, 4)\n",
      "4.33,Realistic Adversarial Examples in 3D Meshes,(5, 5, 3),(3, 3, 3)\n",
      "4.33,Jumpout: Improved Dropout for Deep Neural Networks with Rectified Linear Units,(5, 4, 4),(4, 3, 5)\n",
      "4.33,REPRESENTATION COMPRESSION AND GENERALIZATION IN DEEP NEURAL NETWORKS,(6, 3, 4),(3, 3, 3)\n",
      "4.33,Backdrop: Stochastic Backpropagation,(5, 3, 5),(3, 3, 3)\n",
      "4.33,Explainable Adversarial Learning: Implicit Generative Modeling of Random Noise during Training for Adversarial Robustness,(3, 5, 5),(4, 4, 4)\n",
      "4.33,Feature Matters: A Stage-by-Stage Approach for Task Independent Knowledge Transfer,(5, 4, 4),(4, 4, 4)\n",
      "4.33,Log Hyperbolic Cosine Loss Improves Variational Auto-Encoder,(4, 4, 5),(4, 4, 4)\n",
      "4.33,Shrinkage-based Bias-Variance Trade-off for Deep Reinforcement Learning,(4, 4, 5),(2, 4, 3)\n",
      "4.33,Gradient-based learning for F-measure and other performance metrics,(5, 3, 5),(3, 4, 5)\n",
      "4.33,Neuron Hierarchical Networks,(5, 4, 4),(4, 4, 4)\n",
      "4.33,On Generalization Bounds of a Family of Recurrent Neural Networks,(4, 6, 3),(4, 4, 4)\n",
      "4.33, sampling with probability matching,(5, 6, 3),(5, 2, 5)\n",
      "4.33,Do Language Models Have Common Sense?,(5, 4, 4),(4, 4, 4)\n",
      "4.31,Contextualized Role Interaction for Neural Machine Translation,(4, 5, 4),(5, 4, 4)\n",
      "4.31,SEQUENCE MODELLING WITH AUTO-ADDRESSING AND RECURRENT MEMORY INTEGRATING NETWORKS,(4, 4, 5),(5, 4, 4)\n",
      "4.31,Selective Self-Training for semi-supervised Learning,(4, 5, 4),(5, 4, 4)\n",
      "4.31,Asynchronous SGD without gradient delay for efficient distributed training,(5, 4, 4),(4, 4, 5)\n",
      "4.31,ACIQ: Analytical Clipping for Integer Quantization of neural networks,(4, 4, 5),(5, 4, 4)\n",
      "4.31,Compositional GAN: Learning Conditional Image Composition,(4, 4, 5),(5, 4, 4)\n",
      "4.31,Pseudosaccades: A simple ensemble scheme for improving classification performance of deep nets,(5, 4, 4),(4, 4, 5)\n",
      "4.31,End-to-End Hierarchical Text Classification with Label Assignment Policy,(5, 4, 4),(4, 5, 4)\n",
      "4.31,Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourages convex latent distributions,(5, 4, 4),(4, 4, 5)\n",
      "4.31,A Convergent Variant of the Boltzmann Softmax Operator in Reinforcement Learning,(4, 4, 5),(5, 4, 4)\n",
      "4.30,NICE: noise injection and clamping estimation for neural network quantization,(4, 5, 4),(4, 3, 3)\n",
      "4.30,Adaptive Convolutional Neural Networks,(5, 4, 4),(3, 3, 4)\n",
      "4.30,From Adversarial Training to Generative Adversarial Networks,(3, 6, 4),(3, 3, 4)\n",
      "4.30,DeepTwist: Learning Model Compression via Occasional Weight Distortion,(5, 4, 4),(3, 3, 4)\n",
      "4.30,Adversarial Examples Are a Natural Consequence of Test Error in Noise,(4, 5, 4),(4, 3, 3)\n",
      "4.30,FEED: Feature-level Ensemble Effect for knowledge Distillation,(5, 4, 4),(3, 3, 4)\n",
      "4.29,Universal Attacks on Equivariant Networks,(4, 4, 5),(5, 5, 4)\n",
      "4.29,How to learn (and how not to learn) multi-hop reasoning with memory networks,(3, 5, 5),(5, 5, 4)\n",
      "4.29,Online Learning for Supervised Dimension Reduction,(2, 5, 6),(5, 4, 5)\n",
      "4.29,Representation Flow for Action Recognition,(3, 5, 5),(5, 5, 4)\n",
      "4.29,Task-GAN for Improved GAN based Image Restoration,(4, 5, 4),(5, 4, 5)\n",
      "4.27,A preconditioned accelerated stochastic gradient descent algorithm,(4, 4, 5),(3, 5, 3)\n",
      "4.27,Beyond Winning and Losing: Modeling Human Motivations and Behaviors with Vector-valued Inverse Reinforcement Learning,(5, 4, 4),(3, 4, 4)\n",
      "4.27,BlackMarks: Black-box Multi-bit Watermarking for Deep Neural Networks,(5, 4, 4),(3, 4, 4)\n",
      "4.27,Robust Text Classifier on Test-Time Budgets,(4, 4, 5),(4, 4, 3)\n",
      "4.27,The Natural Language Decathlon: Multitask Learning as Question Answering,(5, 5, 3),(4, 3, 4)\n",
      "4.27,Efficient Convolutional Neural Network Training with Direct Feedback Alignment,(4, 4, 5),(4, 4, 3)\n",
      "4.27,Combining Global Sparse Gradients with Local Gradients,(5, 5, 3),(4, 3, 4)\n",
      "4.27,Variational Domain Adaptation,(4, 4, 5),(3, 5, 3)\n",
      "4.27,Generative Models from the perspective of Continual Learning,(4, 5, 4),(4, 3, 4)\n",
      "4.27,MANIFOLDNET: A DEEP NEURAL NETWORK FOR MANIFOLD-VALUED DATA,(5, 4, 4),(3, 4, 4)\n",
      "4.27,DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search,(4, 5, 4),(4, 3, 4)\n",
      "4.27,Combining Learned Representations for Combinatorial Optimization,(4, 4, 5),(3, 5, 3)\n",
      "4.27,Recovering the Lowest Layer of Deep Networks with High Threshold Activations,(4, 5, 4),(4, 3, 4)\n",
      "4.27,The Cakewalk Method,(5, 4, 4),(3, 4, 4)\n",
      "4.25,SENSE: SEMANTICALLY ENHANCED NODE SEQUENCE EMBEDDING,(4, 4, 5),(4, 5, 3)\n",
      "4.25,CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks,(3, 7, 4),(4, 2, 2)\n",
      "4.25,Unsupervised Word Discovery with Segmental Neural Language Models,(4, 3, 6),(3, 5, 4)\n",
      "4.25,Distilled Agent DQN for Provable Adversarial Robustness,(5, 3, 4),(4, 2, 2)\n",
      "4.25,Intriguing Properties of Learned Representations,(3, 6, 5),(4, 2, 2)\n",
      "4.23,Network Reparameterization for Unseen Class Categorization,(5, 3, 5),(5, 5, 3)\n",
      "4.23,Meta-Learning to Guide Segmentation,(7, 3, 3),(4, 4, 5)\n",
      "4.23,Inter-BMV: Interpolation with Block Motion Vectors for Fast Semantic Segmentation on Video,(5, 3, 5),(4, 5, 4)\n",
      "4.23,A Priori Estimates  of the Generalization Error for Two-layer Neural Networks,(4, 4, 4, 5),(3, 3, 4, 3)\n",
      "4.23,Recycling the discriminator for improving the inference mapping of GAN,(3, 3, 7),(5, 4, 4)\n",
      "4.23,Learning Corresponded Rationales for Text Matching,(6, 4, 3),(4, 4, 5)\n",
      "4.23,Learning Grounded Sentence Representations by Jointly Using Video and Text Information,(4, 3, 6),(4, 5, 4)\n",
      "4.23,SHAMANN: Shared Memory Augmented Neural Networks,(4, 5, 4),(5, 3, 5)\n",
      "4.22,Discovering General-Purpose Active Learning Strategies,(5, 4, 4, 4),(4, 5, 5, 4)\n",
      "4.22,Unsupervised Meta-Learning for Reinforcement Learning,(3, 6, 4),(4, 3, 2)\n",
      "4.22,Modulating transfer between tasks in gradient-based meta-learning,(5, 4, 4),(2, 3, 4)\n",
      "4.21,Characterizing the Accuracy/Complexity Landscape of Explanations of Deep Networks through Knowledge Extraction,(4, 4, 4, 5),(2, 5, 4, 3)\n",
      "4.21,Understanding the Asymptotic Performance of Model-Based RL Methods,(5, 6, 4, 2),(3, 4, 3, 4)\n",
      "4.20,Provable Defenses against Spatially Transformed Adversarial Inputs: Impossibility and Possibility Results,(5, 3, 5),(3, 4, 3)\n",
      "4.20,A Guider Network for Multi-Dual Learning,(4, 5, 4),(3, 2, 5)\n",
      "4.20,Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks,(7, 3, 3),(3, 3, 4)\n",
      "4.20,Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning,(5, 5, 3),(3, 3, 4)\n",
      "4.20,Adversarial Decomposition of Text Representation,(3, 6, 4),(4, 3, 3)\n",
      "4.20,Multi-Objective Value Iteration with Parameterized Threshold-Based Safety Constraints,(5, 5, 3),(4, 2, 4)\n",
      "4.20,Modulated Variational Auto-Encoders for Many-to-Many Musical Timbre Transfer,(5, 5, 3),(3, 3, 4)\n",
      "4.20,Evolutionary-Neural Hybrid Agents for Architecture Search,(5, 4, 4),(2, 4, 4)\n",
      "4.20,W2GAN: RECOVERING AN OPTIMAL TRANSPORT MAP WITH A GAN,(6, 3, 4),(3, 4, 3)\n",
      "4.20,Pixel Redrawn For A Robust Adversarial Defense,(4, 6, 3),(3, 3, 4)\n",
      "4.19,Countdown Regression: Sharp and Calibrated Survival Predictions,(4, 4, 4, 5),(5, 4, 4, 3)\n",
      "4.19,Geomstats: a Python Package for Riemannian Geometry in Machine Learning,(4, 4, 3, 8),(4, 5, 5, 2)\n",
      "4.18,The Missing Ingredient in Zero-Shot Neural Machine Translation,(5, 4, 3),(5, 3, 3)\n",
      "4.18,Auto-Encoding Knockoff Generator for FDR  Controlled Variable Selection,(3, 4, 6),(4, 4, 3)\n",
      "4.18,Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders ,(5, 6, 2),(4, 3, 4)\n",
      "4.17,Improving Sample-based Evaluation for Generative Adversarial Networks,(5, 5, 3),(3, 4, 5)\n",
      "4.17,DppNet: Approximating Determinantal Point Processes with Deep Networks,(3, 5, 5),(5, 4, 3)\n",
      "4.17,Model-Agnostic Meta-Learning for Multimodal Task Distributions,(3, 5, 5),(5, 4, 3)\n",
      "4.14,Downsampling leads to Image Memorization in Convolutional Autoencoders,(3, 5, 5),(3, 2, 2)\n",
      "4.14,Universal discriminative quantum neural networks,(5, 5, 2),(3, 2, 2)\n",
      "4.13,On Meaning-Preserving Adversarial Perturbations for Sequence-to-Sequence Models,(4, 4, 3, 6),(4, 4, 4, 3)\n",
      "4.10,Dual Learning: Theoretical Study and Algorithmic Extensions,(6, 2, 5),(3, 4, 3)\n",
      "4.09,Wasserstein proximal of GANs,(3, 6, 4),(5, 3, 3)\n",
      "4.09,Pearl: Prototype lEArning via Rule Lists,(5, 3, 4),(4, 3, 4)\n",
      "4.09,Variational recurrent models for representation learning,(5, 3, 5),(3, 5, 3)\n",
      "4.09,Improving machine classification using human uncertainty measurements,(6, 3, 3),(4, 5, 2)\n",
      "4.09,Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout,(5, 3, 4),(4, 3, 4)\n",
      "4.09,Distributionally Robust Optimization Leads to Better Generalization: on SGD and Beyond,(3, 4, 5),(3, 4, 4)\n",
      "4.08,IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles,(4, 6, 3),(4, 3, 5)\n",
      "4.08,The effectiveness of layer-by-layer training using the information bottleneck principle,(5, 2, 5),(4, 4, 5)\n",
      "4.08,ON THE USE OF CONVOLUTIONAL AUTO-ENCODER FOR INCREMENTAL CLASSIFIER LEARNING IN CONTEXT AWARE ADVERTISEMENT,(5, 4, 3),(5, 4, 4)\n",
      "4.08,Sequenced-Replacement Sampling for Deep Learning,(3, 5, 4),(4, 5, 4)\n",
      "4.08,Neural Network Cost Landscapes as Quantum States,(5, 3, 4),(5, 4, 4)\n",
      "4.00,Filter Training and Maximum Response: Classification via Discerning,(2, 3, 6),(1, 4, 3)\n",
      "4.00,ChainGAN: A sequential approach to GANs,(4, 4, 4),(4, 4, 4)\n",
      "4.00,Differentially Private Federated Learning: A Client Level Perspective,(4, 4, 4),(4, 3, 4)\n",
      "4.00,Latent Domain Transfer: Crossing modalities with Bridging Autoencoders,(4, 4, 4),(4, 4, 4)\n",
      "4.00,Complexity of Training ReLU Neural Networks,(3, 5, 4),(5, 5, 3)\n",
      "4.00,Training Hard-Threshold Networks with Combinatorial Search in a Discrete Target Propagation Setting,(3, 4, 5),(5, 4, 5)\n",
      "4.00,Data Poisoning Attack against Unsupervised Node Embedding Methods,(4, 4, 4),(5, 4, 3)\n",
      "4.00,Constrained Bayesian Optimization for Automatic Chemical Design,(3, 4, 5),(4, 3, 4)\n",
      "4.00,Modular Deep Probabilistic Programming,(3, 4, 5),(3, 4, 3)\n",
      "4.00,Assessing Generalization in Deep Reinforcement Learning,(3, 5, 5),(5, 3, 2)\n",
      "4.00,Found by NEMO: Unsupervised Object Detection from Negative Examples and Motion,(5, 3, 4),(4, 4, 4)\n",
      "4.00,REVISTING NEGATIVE TRANSFER USING ADVERSARIAL LEARNING,(4, 2, 6),(4, 4, 4)\n",
      "4.00,The Forward-Backward Embedding of Directed Graphs,(5, 3, 4),(5, 5, 4)\n",
      "4.00,Classification of Building Noise Type/Position via Supervised Learning,(4, 4, 4),(2, 4, 4)\n",
      "4.00,Variation Network: Learning High-level Attributes for Controlled Input Manipulation,(3, 6, 4),(4, 2, 3)\n",
      "4.00,On the Trajectory of Stochastic Gradient Descent in the Information Plane,(4, 6, 2),(3, 4, 4)\n",
      "4.00,Hyper-Regularization: An Adaptive Choice for the Learning Rate in Gradient Descent,(4, 4, 4),(5, 4, 4)\n",
      "4.00,Iterative Binary Decisions,(4, 4, 4),(4, 4, 3)\n",
      "4.00,NUTS: Network for Unsupervised Telegraphic Summarization,(4, 4, 4),(4, 4, 4)\n",
      "4.00,Uncertainty-guided Lifelong Learning in Bayesian Networks,(4, 4, 4),(4, 4, 4)\n",
      "4.00,Multi-Task Learning for Semantic Parsing with Cross-Domain Sketch,(3, 4, 5),(4, 4, 4)\n",
      "4.00,Learning to Search Efficient DenseNet with Layer-wise Pruning,(4, 4, 4),(5, 4, 4)\n",
      "4.00,Exploiting Invariant Structures for Compression in Neural Networks,(4, 4, 4),(4, 4, 4)\n",
      "4.00,Sample-efficient policy learning in multi-agent Reinforcement Learning via meta-learning,(4, 4, 4),(3, 4, 4)\n",
      "4.00,Graph Generation via Scattering,(4, 4, 4),(4, 3, 4)\n",
      "4.00,Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics,(5, 3, 4),(4, 4, 4)\n",
      "4.00,Towards More Theoretically-Grounded Particle Optimization Sampling for Deep Learning,(5, 4, 3),(4, 3, 4)\n",
      "4.00,Continual Learning via Explicit Structure Learning,(4, 4, 4),(4, 5, 4)\n",
      "4.00,Difference-Seeking Generative Adversarial Network,(5, 4, 3),(4, 3, 4)\n",
      "4.00,EXPLORATION OF EFFICIENT ON-DEVICE ACOUSTIC MODELING WITH NEURAL NETWORKS,(4, 4, 4),(5, 4, 4)\n",
      "4.00,Activity Regularization for Continual Learning,(4, 4, 4),(5, 5, 4)\n",
      "4.00,Distinguishability of Adversarial Examples,(4, 4, 4),(4, 5, 4)\n",
      "4.00,Exploration by Uncertainty in Reward Space,(5, 5, 3),(3, 2, 5)\n",
      "4.00,microGAN: Promoting Variety through Microbatch Discrimination,(3, 3, 6),(3, 3, 3)\n",
      "4.00,HC-Net: Memory-based Incremental Dual-Network System for Continual learning,(4, 4, 4),(3, 4, 5)\n",
      "4.00,Ain't Nobody Got Time for Coding: Structure-Aware Program Synthesis from Natural Language,(4, 4, 4),(4, 3, 5)\n",
      "4.00,Relational Graph Attention Networks,(4, 4, 4),(4, 5, 5)\n",
      "4.00,Trajectory VAE for multi-modal imitation,(4, 4, 4),(4, 4, 4)\n",
      "4.00,Learning from Noisy Demonstration Sets via Meta-Learned Suitability Assessor,(4, 4, 4),(4, 4, 3)\n",
      "4.00,Language Modeling with Graph Temporal Convolutional Networks,(4, 4, 4),(5, 3, 5)\n",
      "4.00,Evading Defenses to Transferable Adversarial Examples by Mitigating Attention Shift,(4, 4, 4),(4, 3, 3)\n",
      "4.00,Better Accuracy with Quantified Privacy: Representations Learned via Reconstructive Adversarial Network,(4, 5, 3),(4, 4, 4)\n",
      "4.00,DEEP ADVERSARIAL FORWARD MODEL,(4, 4, 4),(5, 5, 4)\n",
      "4.00,Applications of Gaussian Processes in Finance,(4, 5, 3),(5, 4, 4)\n",
      "4.00,UNSUPERVISED CONVOLUTIONAL NEURAL NETWORKS FOR ACCURATE VIDEO FRAME INTERPOLATION WITH INTEGRATION OF MOTION COMPONENTS,(3, 5, 4),(4, 4, 5)\n",
      "4.00,Deep Generative Models for learning Coherent Latent Representations from Multi-Modal Data,(4, 4, 4),(2, 3, 4)\n",
      "4.00,Deep processing of structured data,(4, 4, 4),(3, 4, 3)\n",
      "4.00,Overcoming catastrophic forgetting through weight consolidation and long-term memory,(4, 4, 4),(4, 4, 5)\n",
      "4.00,Mol-CycleGAN - a generative model for molecular optimization,(4, 4, 4),(5, 4, 3)\n",
      "4.00,Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy,(3, 4, 5),(4, 4, 4)\n",
      "4.00,On the Statistical and Information Theoretical Characteristics of DNN Representations,(5, 4, 3),(3, 4, 3)\n",
      "4.00,A Multi-modal one-class generative adversarial network for anomaly detection in manufacturing,(3, 4, 5),(4, 5, 4)\n",
      "4.00,RNNs with Private and Shared Representations for Semi-Supervised Sequence Learning,(3, 5, 4),(5, 5, 4)\n",
      "4.00,A Teacher Student Network For Faster Video Classification,(4, 4, 4),(4, 5, 5)\n",
      "4.00,Prob2Vec: Mathematical Semantic Embedding for Problem Retrieval in Adaptive Tutoring,(3, 5, 4),(3, 3, 4)\n",
      "4.00,S-System, Geometry, Learning, and Optimization: A Theory of Neural Networks,(4, 4),(2, 1)\n",
      "4.00,Accidental exploration through value predictors,(4, 5, 3),(4, 4, 4)\n",
      "4.00,Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding,(4, 4, 4),(4, 4, 5)\n",
      "4.00,Fatty and Skinny: A Joint Training Method of Watermark Encoder and Decoder,(4, 4, 4),(4, 4, 4)\n",
      "4.00,D2KE: From Distance to Kernel and Embedding via Random Features For Structured Inputs,(4, 3, 5),(4, 4, 4)\n",
      "4.00,Implicit Maximum Likelihood Estimation,(4, 3, 5),(4, 4, 4)\n",
      "4.00,Incremental Hierarchical Reinforcement Learning with Multitask LMDPs,(3, 4, 5),(4, 4, 4)\n",
      "4.00,Unsupervised Exploration with Deep Model-Based Reinforcement Learning,(4, 4, 4),(4, 3, 4)\n",
      "4.00,Constraining Action Sequences with Formal Languages for Deep Reinforcement Learning,(5, 3, 4),(4, 4, 3)\n",
      "4.00,Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers,(4, 3, 5),(5, 4, 4)\n",
      "4.00,Explaining Neural Networks Semantically and Quantitatively,(4, 4, 4),(4, 5, 4)\n",
      "4.00,Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning,(4, 4, 4),(4, 5, 3)\n",
      "4.00,Exploration using Distributional RL and UCB,(4, 4, 4),(3, 5, 4)\n",
      "4.00,Assumption Questioning: Latent Copying and Reward Exploitation in Question Generation,(4, 3, 5),(4, 4, 4)\n",
      "3.93,Understanding Opportunities for Efficiency in Single-image Super Resolution Networks,(4, 5, 3),(5, 4, 5)\n",
      "3.93,Overlapping Community Detection with Graph Neural Networks,(5, 3, 4),(4, 5, 5)\n",
      "3.92,Learning Representations in Model-Free Hierarchical Reinforcement Learning,(5, 4, 3),(4, 4, 5)\n",
      "3.92,On the Selection of Initialization and Activation Function for Deep Neural Networks,(3, 4, 5),(5, 4, 4)\n",
      "3.92,Dual Importance Weight GAN,(4, 3, 5),(4, 5, 4)\n",
      "3.92,Deepström Networks,(4, 5, 3),(4, 4, 5)\n",
      "3.92,Empirically Characterizing Overparameterization Impact on Convergence,(5, 4, 3),(3, 5, 4)\n",
      "3.92,Neural Regression Tree,(5, 3, 4),(3, 4, 5)\n",
      "3.92,Polar Prototype Networks,(5, 3, 4),(3, 4, 5)\n",
      "3.92,The wisdom of the crowd: reliable deep reinforcement learning through ensembles of Q-functions,(4, 5, 3),(5, 3, 4)\n",
      "3.92,Cosine similarity-based Adversarial process,(4, 3, 5),(3, 5, 4)\n",
      "3.92,LEARNING ADVERSARIAL EXAMPLES WITH RIEMANNIAN GEOMETRY,(6, 4, 3),(2, 5, 5)\n",
      "3.92,Modeling Dynamics of Biological Systems with Deep Generative Neural Networks,(6, 4, 3),(2, 5, 5)\n",
      "3.92,Locally Linear Unsupervised Feature Selection,(4, 6, 3),(5, 2, 5)\n",
      "3.91,q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators,(6, 2, 5),(3, 5, 3)\n",
      "3.91,Look Ma, No GANs! Image Transformation with ModifAE,(3, 4, 5),(4, 4, 3)\n",
      "3.91,Overfitting Detection of Deep Neural Networks without a Hold Out Set,(4, 5, 3),(4, 3, 4)\n",
      "3.91,MERCI: A NEW METRIC TO EVALUATE THE CORRELATION BETWEEN PREDICTIVE UNCERTAINTY AND TRUE ERROR,(4, 5, 3),(4, 3, 4)\n",
      "3.91,Mental Fatigue Monitoring using Brain Dynamics Preferences,(7, 4, 2),(3, 3, 5)\n",
      "3.90,In search of theoretically grounded pruning,(4, 3, 5),(3, 4, 3)\n",
      "3.90,Layerwise Recurrent Autoencoder for General Real-world Traffic Flow Forecasting,(4, 5, 3),(3, 3, 4)\n",
      "3.90,Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning,(3, 5, 4),(4, 3, 3)\n",
      "3.90,Evaluating GANs via Duality,(4, 3, 5),(3, 4, 3)\n",
      "3.89,Functional Bayesian Neural Networks for Model Uncertainty Quantification,(3, 4, 5),(3, 4, 2)\n",
      "3.85,Generalized Capsule Networks with Trainable Routing Procedure,(5, 3, 4),(3, 5, 5)\n",
      "3.85,Second-Order Adversarial Attack and Certifiable Robustness,(4, 5, 3),(5, 3, 5)\n",
      "3.85,LSH Microbatches for Stochastic Gradients:  Value in Rearrangement,(4, 4, 3, 4),(3, 4, 2, 4)\n",
      "3.83,DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation,(3, 5, 4),(5, 3, 4)\n",
      "3.83,Robustness and Equivariance of Neural Networks,(3, 4, 5),(5, 4, 3)\n",
      "3.82,Reinforced Pipeline Optimization: Behaving Optimally with Non-Differentiabilities,(4, 5, 3),(5, 2, 4)\n",
      "3.80,Using Deep Siamese Neural Networks to Speed up Natural Products Research,(4, 3, 4),(4, 2, 4)\n",
      "3.80,On Inductive Biases in Deep Reinforcement Learning,(3, 3, 7),(4, 4, 2)\n",
      "3.80,Learning Robust, Transferable Sentence Representations for Text Classification,(4, 3, 4),(4, 2, 4)\n",
      "3.80,UaiNets: From Unsupervised to Active Deep Anomaly Detection,(4, 5, 3),(4, 2, 4)\n",
      "3.77,RESIDUAL NETWORKS CLASSIFY INPUTS BASED ON THEIR NEURAL TRANSIENT DYNAMICS,(4, 2, 5),(4, 4, 5)\n",
      "3.77,Optimizing for Generalization in Machine Learning with Cross-Validation Gradients,(5, 2, 4),(5, 4, 4)\n",
      "3.75,Diminishing Batch Normalization,(4, 3, 4),(4, 3, 5)\n",
      "3.75,Controlling Over-generalization and its Effect on Adversarial Examples Detection and Generation,(4, 4, 3),(4, 5, 3)\n",
      "3.73,The Body is not a Given: Joint Agent Policy Learning and Morphology Evolution,(4, 4, 3, 4),(4, 4, 4, 3)\n",
      "3.73,Riemannian Stochastic Gradient Descent for Tensor-Train Recurrent Neural Networks,(4, 4, 3),(4, 4, 3)\n",
      "3.73,Quantile Regression Reinforcement Learning with State Aligned Vector Rewards,(4, 3, 4),(4, 3, 4)\n",
      "3.73,Accelerating first order optimization algorithms,(3, 4, 4),(3, 3, 5)\n",
      "3.71,Unsupervised Video-to-Video Translation,(3, 4, 4),(4, 5, 5)\n",
      "3.70,Image Score: how to select useful samples,(4, 4, 3),(3, 4, 3)\n",
      "3.70,Learning Latent Semantic Representation from Pre-defined Generative Model,(5, 3, 4),(2, 5, 3)\n",
      "3.69,Graph Learning Network: A Structure Learning Algorithm,(4, 3, 4),(5, 4, 4)\n",
      "3.69,Parametrizing Fully Convolutional Nets with a Single High-Order Tensor,(4, 3, 4),(4, 4, 5)\n",
      "3.69,Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction,(4, 4, 3),(4, 5, 4)\n",
      "3.69,RETHINKING SELF-DRIVING : MULTI -TASK KNOWLEDGE FOR BETTER GENERALIZATION AND ACCIDENT EXPLANATION ABILITY,(4, 4, 3),(4, 5, 4)\n",
      "3.69,Generating Images from Sounds Using Multimodal Features and GANs,(3, 4, 4),(4, 4, 5)\n",
      "3.69,Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms,(3, 4, 4),(4, 5, 4)\n",
      "3.69,Prior Networks for Detection of Adversarial Attacks,(3, 4, 4),(4, 4, 5)\n",
      "3.69,Optimized Gated Deep Learning Architectures for Sensor Fusion,(4, 4, 3),(5, 4, 4)\n",
      "3.69,Normalization Gradients are Least-squares Residuals,(4, 4, 3),(5, 4, 4)\n",
      "3.67,Unsupervised  one-to-many image translation,(3, 4, 4),(4, 4, 4)\n",
      "3.67,Feature Transformers: A Unified Representation Learning Framework for Lifelong Learning,(4, 3, 4),(3, 4, 5)\n",
      "3.67,PCNN: Environment Adaptive Model Without Finetuning,(4, 3, 4),(4, 4, 4)\n",
      "3.67,A Walk with SGD: How SGD Explores Regions of Deep Network Loss?,(4, 4, 3),(5, 3, 4)\n",
      "3.67,Feature Attribution As Feature Selection,(4, 4, 3),(2, 4, 3)\n",
      "3.67,UNSUPERVISED MONOCULAR DEPTH ESTIMATION WITH CLEAR BOUNDARIES,(4, 4, 3),(3, 5, 4)\n",
      "3.67,DelibGAN: Coarse-to-Fine Text Generation via Adversarial Network,(4, 3, 4),(4, 4, 4)\n",
      "3.67,Adversarially Robust Training through Structured Gradient Regularization,(4, 4, 3),(4, 4, 4)\n",
      "3.64,Modeling Evolution of Language Through Time with Neural Networks,(3, 4, 4),(5, 5, 4)\n",
      "3.64,Question Generation using a Scratchpad Encoder,(4, 3, 4),(4, 5, 5)\n",
      "3.64,withdrawn,(4, 4, 3),(5, 4, 5)\n",
      "3.64,Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks,(3, 4, 4),(5, 4, 5)\n",
      "3.64,Contextual Recurrent Convolutional Model for Robust Visual Learning,(4, 3, 4),(4, 5, 5)\n",
      "3.64,Learning  agents with prioritization and parameter noise in continuous state and action space,(3, 4, 4),(4, 3, 4)\n",
      "3.64,DynCNN: An Effective Dynamic Architecture on Convolutional Neural Network for Surveillance Videos,(3, 4, 4),(4, 4, 3)\n",
      "3.64,INTERPRETABLE CONVOLUTIONAL FILTER PRUNING,(4, 4, 3),(4, 3, 4)\n",
      "3.64,Efficient Federated Learning via Variational Dropout,(4, 4, 3),(4, 3, 4)\n",
      "3.64,Inhibited Softmax for Uncertainty Estimation in Neural Networks,(4, 4, 3),(4, 3, 4)\n",
      "3.64,Radial Basis Feature Transformation to Arm CNNs Against Adversarial Attacks,(4, 4, 3),(4, 3, 4)\n",
      "3.62,NA,(4, 4, 3),(4, 4, 5)\n",
      "3.62,Bilingual-GAN: Neural Text Generation and Neural Machine Translation as Two Sides of the Same Coin,(3, 4, 4),(5, 3, 5)\n",
      "3.62,Text Embeddings for Retrieval from a Large Knowledge Base,(3, 3, 5),(4, 5, 4)\n",
      "3.62,Spectral Convolutional Networks on Hierarchical Multigraphs,(4, 3, 4),(4, 5, 4)\n",
      "3.60,Using Word Embeddings to Explore the Learned Representations of Convolutional Neural Networks,(3, 4, 4),(4, 4, 2)\n",
      "3.58,Few-Shot Intent Inference via Meta-Inverse Reinforcement Learning,(3, 4, 4),(5, 3, 4)\n",
      "3.58,Hierarchical Attention: What Really Counts in Various NLP Tasks,(4, 3, 4),(4, 5, 3)\n",
      "3.58,Synthnet: Learning synthesizers end-to-end,(4, 4, 3),(3, 4, 5)\n",
      "3.58,GEOMETRIC AUGMENTATION FOR ROBUST NEURAL NETWORK CLASSIFIERS,(4, 4, 3),(3, 4, 5)\n",
      "3.58,Distributed Deep Policy Gradient for Competitive Adversarial Environment,(4, 4, 3),(4, 3, 5)\n",
      "3.58,An Attention-Based Model for Learning Dynamic Interaction Networks,(4, 3, 4),(3, 5, 4)\n",
      "3.58,Graph Spectral Regularization For Neural Network Interpretability,(4, 3, 4),(4, 5, 3)\n",
      "3.57,Object-Contrastive Networks: Unsupervised Object Representations,(3, 3, 5),(5, 5, 4)\n",
      "3.57,A fully automated periodicity detection in time series,(3, 5, 3),(3, 2, 2)\n",
      "3.57,GradMix: Multi-source Transfer across Domains and Tasks,(5, 3, 3),(4, 5, 5)\n",
      "3.56,PolyCNN: Learning Seed Convolutional Filters,(3, 4, 4),(4, 2, 3)\n",
      "3.55,Automatic generation of object shapes with desired functionalities,(5, 3, 3),(3, 4, 4)\n",
      "3.55,Structured Prediction using cGANs with Fusion Discriminator,(5, 3, 3),(3, 4, 4)\n",
      "3.55,DEEP HIERARCHICAL MODEL FOR HIERARCHICAL SELECTIVE CLASSIFICATION AND ZERO SHOT LEARNING,(4, 5, 2),(4, 3, 4)\n",
      "3.54,Towards the Latent Transcriptome,(4, 2, 5),(4, 5, 4)\n",
      "3.54,Efficient Exploration through Bayesian Deep Q-Networks,(6, 4, 4, 2),(2, 2, 4, 5)\n",
      "3.54,Differentiable Greedy Networks,(5, 2, 4),(4, 5, 4)\n",
      "3.50,Fake Sentence Detection as a Training Task for Sentence Encoding,(5, 3, 3),(3, 4, 5)\n",
      "3.50,Beyond Games: Bringing Exploration to Robots in Real-world,(3, 3, 5),(5, 4, 3)\n",
      "3.50,Localized random projections challenge benchmarks for bio-plausible deep learning,(5, 3, 3),(3, 4, 5)\n",
      "3.46,Discrete Structural Planning for Generating Diverse Translations,(2, 4, 5),(5, 5, 3)\n",
      "3.43,MCTSBug: Generating Adversarial Text Sequences via Monte Carlo Tree Search and Homoglyph Attack,(3, 4),(4, 3)\n",
      "3.42,Neural Distribution Learning for generalized time-to-event prediction,(4, 3, 3),(5, 4, 3)\n",
      "3.40,Latent Transformations for Object  View Points Synthesis,(2, 4, 5),(4, 4, 2)\n",
      "3.40,Combining adaptive algorithms and hypergradient method: a performance and robustness study,(3, 3, 4),(4, 2, 4)\n",
      "3.38,Empirical Study of Easy and Hard Examples in CNN Training,(3, 4, 3),(4, 5, 4)\n",
      "3.38,Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference,(3, 4, 3),(4, 5, 4)\n",
      "3.38,Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions,(4, 3),(3, 5)\n",
      "3.36,BEHAVIOR MODULE IN NEURAL NETWORKS,(3, 3, 4),(4, 5, 5)\n",
      "3.36,Geometric Operator Convolutional Neural Network,(2, 5, 3),(5, 5, 4)\n",
      "3.36,Learning Spatio-Temporal Representations Using Spike-Based Backpropagation,(3, 4, 3),(5, 5, 4)\n",
      "3.36,MAJOR-MINOR LSTMS FOR WORD-LEVEL LANGUAGE MODEL,(3, 4, 3),(4, 5, 5)\n",
      "3.33,SHE2: Stochastic Hamiltonian Exploration and Exploitation for Derivative-Free Optimization,(4, 3, 3),(4, 3, 5)\n",
      "3.33,ATTACK GRAPH CONVOLUTIONAL NETWORKS BY ADDING FAKE NODES,(4, 3, 3),(3, 4, 2)\n",
      "3.33,IEA: Inner Ensemble Average within a convolutional neural network,(4, 2, 4),(3, 4, 5)\n",
      "3.33,Offline Deep models calibration with bayesian neural networks,(4, 3, 3),(4, 4, 4)\n",
      "3.33,Logit Regularization Methods for Adversarial Robustness,(3, 5, 2),(5, 5, 5)\n",
      "3.33,HANDLING CONCEPT DRIFT  IN WIFI-BASED INDOOR LOCALIZATION USING REPRESENTATION LEARNING,(2, 3, 4),(1, 4, 4)\n",
      "3.33,Large-scale classification of structured objects using a CRF with deep class embedding,(3, 3, 4),(3, 5, 4)\n",
      "3.31,Encoder Discriminator Networks for Unsupervised Representation Learning,(3, 4, 3),(4, 4, 5)\n",
      "3.31,Human Action Recognition Based on Spatial-Temporal Attention,(4, 3, 3),(4, 5, 4)\n",
      "3.31,Neural Network Regression with Beta, Dirichlet, and Dirichlet-Multinomial Outputs,(3, 3, 4),(4, 5, 4)\n",
      "3.31,Step-wise Sensitivity Analysis: Identifying Partially Distributed Representations for Interpretable Deep Learning,(3, 4, 3),(5, 4, 4)\n",
      "3.31,Understanding and Improving Sequence-Labeling NER with Self-Attentive LSTMs,(3, 3, 4),(5, 4, 4)\n",
      "3.30,Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae,(3, 3, 4),(4, 3, 3)\n",
      "3.29,Learning of Sophisticated Curriculums by viewing them as Graphs over Tasks,(3, 2, 4),(1, 2, 4)\n",
      "3.29,A quantifiable testing of global translational invariance in Convolutional and Capsule Networks,(3, 4, 3),(5, 4, 5)\n",
      "3.29,Multi-Scale Stacked Hourglass Network for Human Pose Estimation,(3, 4, 3),(5, 4, 5)\n",
      "3.27,Interpreting Layered Neural Networks via Hierarchical Modular Representation,(4, 3, 3),(3, 4, 4)\n",
      "3.27,Deconfounding Reinforcement Learning in Observational Settings,(4, 4, 2),(3, 4, 4)\n",
      "3.27,Linearizing Visual Processes with Deep Generative Models,(3, 3, 4),(4, 4, 3)\n",
      "3.27,Neural Random Projections for Language Modelling,(3, 4, 3),(4, 3, 4)\n",
      "3.27,BIGSAGE: unsupervised inductive representation learning of graph via bi-attended sampling and global-biased aggregating,(2, 4, 4),(4, 3, 4)\n",
      "3.25,Non-Synergistic Variational Autoencoders,(3, 4, 3),(4, 3, 5)\n",
      "3.25,Learning and Data Selection in Big Datasets,(4, 3, 3),(3, 4, 5)\n",
      "3.23,Detecting Topological Defects in 2D Active Nematics Using Convolutional Neural Networks,(4, 4, 2),(4, 4, 5)\n",
      "3.21,Associate Normalization,(3, 5, 2),(5, 4, 5)\n",
      "3.20,D-GAN: Divergent generative adversarial network for positive unlabeled learning and counter-examples generation,(3, 5, 3),(4, 1, 5)\n",
      "3.17,Learning powerful policies and better dynamics models by encouraging consistency,(3, 2, 5),(5, 4, 3)\n",
      "3.17,Learning to Reinforcement Learn by Imitation,(4, 3, 2, 5),(3, 2, 5, 2)\n",
      "3.17,Optimization on Multiple Manifolds,(7, 1, 3),(3, 5, 4)\n",
      "3.17,Why Do Neural Response Generation Models Prefer Universal Replies?,(3, 7, 1),(4, 3, 5)\n",
      "3.10,A Rate-Distortion Theory of Adversarial Examples,(4, 3, 2),(4, 3, 3)\n",
      "3.09,ATTENTIVE EXPLAINABILITY FOR PATIENT TEMPORAL EMBEDDING,(4, 3, 2),(4, 4, 3)\n",
      "3.08,Gradient Acceleration in Activation Functions,(5, 2, 3),(3, 5, 4)\n",
      "3.08,FROM DEEP LEARNING TO DEEP DEDUCING: AUTOMATICALLY TRACKING DOWN NASH EQUILIBRIUM THROUGH AUTONOMOUS NEURAL AGENT, A POSSIBLE MISSING STEP TOWARD GENERAL A.I.,(3, 2, 4),(3, 4, 5)\n",
      "3.08,Calibration of neural network logit vectors to combat adversarial attacks,(3, 2, 4),(4, 4, 5)\n",
      "3.07,A Self-Supervised Method for Mapping Human Instructions to Robot Policies,(4, 3, 2),(5, 5, 4)\n",
      "3.00,End-to-End Multi-Lingual Multi-Speaker Speech Recognition,(3, 3, 3),(4, 5, 4)\n",
      "3.00,Real-time Neural-based Input Method,(3, 3, 3),(3, 4, 3)\n",
      "3.00,Mapping the hyponymy relation of wordnet onto vector Spaces,(3, 3, 3),(4, 3, 5)\n",
      "3.00,An Exhaustive Analysis of Lazy vs. Eager Learning Methods for Real-Estate Property Investment,(3, 4, 2),(5, 4, 4)\n",
      "3.00,Nonlinear Channels Aggregation Networks for Deep Action Recognition,(3, 3, 3),(3, 4, 5)\n",
      "3.00,One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy,(3, 3, 3),(4, 4, 4)\n",
      "3.00,iRDA Method for Sparse Convolutional Neural Networks,(3, 3, 3),(5, 4, 5)\n",
      "3.00,A NON-LINEAR  THEORY FOR SENTENCE EMBEDDING,(3, 3, 3),(3, 3, 4)\n",
      "3.00,Learning with Reflective Likelihoods,(4, 2, 3),(4, 4, 4)\n",
      "3.00,From Amortised to Memoised Inference: Combining Wake-Sleep and Variational-Bayes for Unsupervised Few-Shot Program Learning,(3, 3, 3),(5, 5, 4)\n",
      "3.00,Dopamine: A Research Framework for Deep Reinforcement Learning,(3, 3, 3),(4, 2, 3)\n",
      "3.00,ATTENTION INCORPORATE NETWORK: A NETWORK CAN ADAPT VARIOUS DATA SIZE,(3, 4, 2),(5, 4, 4)\n",
      "3.00,Variational Autoencoders for Text Modeling without Weakening the Decoder,(4, 1, 4),(3, 4, 5)\n",
      "3.00,Stacking for Transfer Learning,(3, 4, 2),(5, 5, 5)\n",
      "3.00,SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities,(3, 3, 3),(4, 4, 4)\n",
      "3.00,Generative Model For Material Irradiation Experiments Based On Prior Knowledge And Attention Mechanism,(3, 3),(4, 4)\n",
      "3.00,Evaluation Methodology for Attacks Against Confidence Thresholding Models,(2, 3, 4),(4, 3, 4)\n",
      "3.00,Hybrid Policies Using Inverse Rewards for Reinforcement Learning,(3, 2, 4),(4, 5, 5)\n",
      "3.00,An Analysis of Composite Neural Network Performance from Function Composition Perspective,(3, 3, 3),(2, 3, 4)\n",
      "2.93,A Forensic Representation to Detect Non-Trivial Image Duplicates, and How it Applies to Semantic Segmentation,(4, 3, 2),(4, 5, 5)\n",
      "2.93,Uncertainty in Multitask Transfer Learning,(3, 2, 4),(5, 5, 4)\n",
      "2.92,ReNeg and Backseat Driver: Learning from demonstration with continuous human feedback,(3, 4, 2),(4, 4, 5)\n",
      "2.92,HR-TD: A Regularized TD Method to Avoid Over-Generalization,(4, 3, 2),(4, 4, 5)\n",
      "2.92,Learn From Neighbour: A Curriculum That Train Low Weighted Samples By Imitating,(2, 3, 4),(5, 3, 4)\n",
      "2.91,Generative model based on minimizing exact empirical Wasserstein distance,(5, 2, 3),(2, 5, 4)\n",
      "2.91,Geometry of Deep Convolutional Networks,(2, 4, 3),(5, 4, 2)\n",
      "2.85,Classification in the dark using tactile exploration,(4, 3, 2),(3, 5, 5)\n",
      "2.80,Probabilistic Program Induction for Intuitive Physics Game Play,(3, 4, 2),(4, 2, 4)\n",
      "2.78,Feature quantization for parsimonious and interpretable predictive models,(2, 3, 4),(4, 3, 2)\n",
      "2.76,Predictive Local Smoothness for Stochastic Gradient Methods,(2, 3, 2, 4),(4, 3, 5, 5)\n",
      "2.71,A CASE STUDY ON OPTIMAL DEEP LEARNING MODEL FOR UAVS,(3, 3, 2),(3, 2, 2)\n",
      "2.69,HAPPIER: Hierarchical Polyphonic Music Generative RNN,(2, 3, 3),(4, 4, 5)\n",
      "2.67,KNOWLEDGE DISTILL VIA LEARNING NEURON MANIFOLD,(5, 1, 3),(3, 5, 4)\n",
      "2.67,A bird's eye view on coherence, and a worm's eye view on cohesion,(2, 2, 4),(4, 4, 4)\n",
      "2.64,Decoupling Gating from Linearity,(3, 2, 3),(4, 5, 5)\n",
      "2.62,Multiple Encoder-Decoders Net for Lane Detection,(2, 2, 4),(4, 5, 4)\n",
      "2.62,Faster Training by Selecting Samples Using Embeddings,(3, 3, 2),(5, 3, 5)\n",
      "2.62,Exponentially Decaying Flows for Optimization in Deep Learning,(3, 3, 2),(5, 3, 5)\n",
      "2.58,End-to-End Learning of Video Compression Using Spatio-Temporal Autoencoders,(3, 3, 2),(3, 4, 5)\n",
      "2.58,Weak contraction mapping and optimization,(3, 1, 4),(2, 5, 5)\n",
      "2.57,A Solution to China Competitive Poker Using Deep Learning,(3, 2),(4, 3)\n",
      "2.55,Learning Goal-Conditioned Value Functions with one-step Path rewards rather than Goal-Rewards,(4, 1, 3),(3, 4, 4)\n",
      "2.55,Explaining Adversarial Examples with Knowledge Representation,(3, 3, 2),(4, 2, 5)\n",
      "2.54,Psychophysical vs. learnt texture representations in novelty detection,(3, 3, 3, 1),(3, 3, 4, 3)\n",
      "2.50,VARIATIONAL SGD: DROPOUT , GENERALIZATION AND CRITICAL POINT AT THE END OF CONVEXITY,(4, 2, 2),(3, 4, 5)\n",
      "2.36,Deli-Fisher GAN: Stable and Efficient Image Generation With Structured Latent Generative Space,(2, 2, 3),(4, 5, 5)\n",
      "2.33,Training Variational Auto Encoders with Discrete Latent Representations using Importance Sampling,(3, 1, 3),(5, 5, 5)\n",
      "2.33, Generating Text through Adversarial Training using Skip-Thought Vectors,(3, 2, 2),(5, 5, 5)\n",
      "2.30,Hierarchical Deep Reinforcement Learning Agent with Counter Self-play  on Competitive Games ,(3, 2, 2),(3, 4, 3)\n",
      "2.29,VECTORIZATION METHODS IN RECOMMENDER SYSTEM,(2, 2, 3),(5, 5, 4)\n",
      "2.23,Pixel Chem: A Representation for Predicting Material Properties with Neural Network,(3, 1, 3),(3, 5, 5)\n",
      "2.23,A Synaptic Neural Network and Synapse Learning,(2, 3, 2, 2),(4, 3, 3, 3)\n",
      "2.14,Advanced Neuroevolution: A gradient-free algorithm to train Deep Neural Networks,(1, 1, 5),(5, 5, 4)\n",
      "1.96,Hierarchical Bayesian Modeling for Clustering Sparse Sequences in the Context of Group Profiling,(2, 2, 3, 1, 2),(5, 5, 4, 5, 4)\n",
      "1.50,Object detection deep learning networks for Optical Character Recognition,(1, 2, 1, 2),(5, 5, 5, 5)\n"
     ]
    }
   ],
   "source": [
    "def generate_top_papers(papers):\n",
    "    overall_ratings = {}\n",
    "    for paper in list(papers.values()):\n",
    "        real_ratings = []\n",
    "        ratings = []\n",
    "        confidence = []\n",
    "        if 'comments' not in paper:\n",
    "            continue\n",
    "        for comment in paper['comments']:\n",
    "            if 'Rating' in comment:\n",
    "                real_ratings.append(int(comment['Rating']))\n",
    "                ratings.append(int(comment['Rating'])*int(comment['Confidence']))\n",
    "                confidence.append(int(comment['Confidence']))\n",
    "\n",
    "        if len(ratings) == 0:\n",
    "            continue\n",
    "    #     print(paper['title'])\n",
    "        overall_ratings[paper['title']] = (sum(ratings)/(len(ratings)*(sum(confidence)/len(confidence))), real_ratings, confidence)\n",
    "\n",
    "    print(len(overall_ratings))\n",
    "    all_ratings = sorted(list(overall_ratings.items()), key=lambda x:x[1][0], reverse=True)\n",
    "    for name, rating in all_ratings:\n",
    "        print(f'{\"%.2f\" % rating[0]},{name},{tuple(rating[1])},{tuple(rating[2])}')\n",
    "generate_top_papers(papers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "34981141\n"
     ]
    }
   ],
   "source": [
    "final_json = []\n",
    "review_scores = []\n",
    "confidence_scores = []\n",
    "for url, paper in papers.items():\n",
    "    result = {}\n",
    "    result['url'] = url\n",
    "    real_ratings = []\n",
    "    ratings = []\n",
    "    confidence = []\n",
    "    if 'comments' in paper:\n",
    "        for comment in paper['comments']:\n",
    "            if 'Rating' in comment and 'Confidence' in comment:\n",
    "                real_ratings.append(int(comment['Rating']))\n",
    "                ratings.append(int(comment['Rating'])*int(comment['Confidence']))\n",
    "                review_scores.append(int(comment['Rating']))\n",
    "                confidence_scores.append(int(comment['Confidence']))\n",
    "                confidence.append(int(comment['Confidence']))\n",
    "            elif 'Decision' in comment:\n",
    "                result['decision'] = comment['Decision']\n",
    "            elif 'Recommendation' in comment:\n",
    "                result['decision'] = comment['Recommendation']\n",
    "            \n",
    "        result['comments'] = paper['comments']\n",
    "    result['ratings'] = real_ratings\n",
    "    if len(ratings) != 0:\n",
    "        result['rating'] = \"%.2f\" % (sum(ratings)/(len(ratings)*(sum(confidence)/len(confidence))))\n",
    "    else:\n",
    "        result['rating'] = ' N/A'\n",
    "    result['confidences'] = confidence\n",
    "    result['abstract'] = paper['abstract']\n",
    "    result['title'] = paper['title']\n",
    "    result['authors'] = paper['authors']\n",
    "    result['emails'] = paper['emails']\n",
    "    final_json.append(result)\n",
    "\n",
    "sorted_final = sorted(final_json, key=lambda x: x['rating'], reverse=True)\n",
    "final_json = []\n",
    "for idx, i in enumerate(sorted_final):\n",
    "    i['rank'] = idx+1\n",
    "    final_json.append(i)\n",
    "\n",
    "f = open('data.json', 'w')\n",
    "print(f.write(json.dumps(final_json, indent=2)))\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.300198083067093\n",
      "6.29\n",
      "6.89:  Large-Scale Visual Speech Recognition\n",
      "6.22: Caveats for information bottleneck in deterministic scenarios\n",
      "6.22: Why Do Neural Response Generation Models Prefer Universal Replies?\n",
      "6.22: Optimization on Multiple Manifolds\n",
      "5.56: Biologically-Plausible Learning Algorithms Can Scale to Large Datasets\n",
      "5.56: PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation\n",
      "5.56: Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning\n",
      "5.25: Exploration by random network distillation\n",
      "4.67: Invariant and Equivariant Graph Networks\n",
      "4.67: Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm\n",
      "[('A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks', 0.0), ('Advanced Neuroevolution: A gradient-free algorithm to train Deep Neural Networks', 0.26543721339127097), ('Optimization on Multiple Manifolds', 0.2866557603451683), ('Why Do Neural Response Generation Models Prefer Universal Replies?', 0.2866557603451683), ('Cross-Entropy Loss Leads To Poor Margins', 0.31120775882753154), ('Hierarchical Bayesian Modeling for Clustering Sparse Sequences in the Context of Group Profiling', 0.3114226196115291), ('KNOWLEDGE DISTILL VIA LEARNING NEURON MANIFOLD', 0.31229610251300527), ('Deep Neuroevolution: Genetic Algorithms are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning', 0.3134385461842368), ('NA', 0.3144494641096797), ('Context Dependent Modulation of Activation Function', 0.31883333982360335)]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda/lib/python3.7/site-packages/ipykernel_launcher.py:39: RuntimeWarning: invalid value encountered in double_scalars\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "35015641\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "f = open('data.json', 'r')\n",
    "final_json = json.loads(f.read())\n",
    "f.close()\n",
    "\n",
    "ratings = [float(i['rating']) for i in final_json if i['rating'] != ' N/A']\n",
    "ratings = sorted(ratings)\n",
    "print(sum(ratings)/len(ratings))\n",
    "print(ratings[len(ratings)*3//4])\n",
    "# review_dict = {k:0 for k in range(1, 11)}\n",
    "# for i in review_scores:\n",
    "#     review_dict[i] += 1\n",
    "# print(sum(review_scores)/len(review_scores))\n",
    "# print(review_dict)\n",
    "# confidence_dict = {k:0 for k in range(1, 6)}\n",
    "# for i in confidence_scores:\n",
    "#     confidence_dict[i] += 1\n",
    "# print(confidence_dict)\n",
    "def variance(arr, conf):\n",
    "    if len(arr) == 0:\n",
    "        return 0\n",
    "    return np.var(arr)\n",
    "\n",
    "#     mu = sum(arr)/len(arr)\n",
    "#     var = 0\n",
    "#     for idx in range(len(arr)):\n",
    "#         var += (arr[idx] - mu)**2\n",
    "#     )\n",
    "#     return var/len(arr)\n",
    "\n",
    "variance = [(i['title'], variance(i['ratings'], i['confidences'])) for i in final_json]\n",
    "\n",
    "variance = sorted(variance, key=lambda x:x[1], reverse=True)\n",
    "variance_dict = {k:v for k,v in variance}\n",
    "for title, v in variance[:10]:\n",
    "    print(f'{\"%.2f\" % v}: {title}')\n",
    "    \n",
    "entropies = [(i['title'], stats.entropy(i['ratings'])/len(i['ratings'])) for i in final_json]\n",
    "entropies = sorted(entropies, key=lambda x:x[1])\n",
    "print(entropies[:10])\n",
    "for idx, i in enumerate(final_json):\n",
    "    i['variance'] = float(\"%.2f\" % variance_dict[i['title']]**(1/2))\n",
    "    final_json[idx] = i\n",
    "    \n",
    "f = open('data.json', 'w')\n",
    "print(f.write(json.dumps(final_json, indent=2)))\n",
    "f.close()\n",
    "# print(final_json)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1331551\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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