nips_2017.json

[{"Thinking Fast and Slow with Deep Learning and Tree Search": ["Thomas Anthony", "Zheng Tian", "David Barber"], "Minimax Estimation of Bandable Precision Matrices": ["Addison Hu", "Sahand Negahban"], "Eigen-Distortions of Hierarchical Representations": ["Alexander Berardino", "Valero Laparra", "Johannes Ball\u00e9", "Eero Simoncelli"], "The Reversible Residual Network: Backpropagation Without Storing Activations": ["Aidan N Gomez", "Mengye Ren", "Raquel Urtasun", "Roger Grosse"], "SchNet: A continuous-filter convolutional neural network for modeling quantum interactions": ["Kristof Sch\u00fctt", "Pieter-Jan Kindermans", "Huziel Enoc Sauceda Felix", "Stefan Chmiela", "Alexandre Tkatchenko", "Klaus-Robert M\u00fcller"], "Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems": ["Alyson Fletcher", "Mojtaba Sahraee-Ardakan", "Sundeep Rangan", "Philip Schniter"], "Controllable Invariance through Adversarial Feature Learning": ["Qizhe Xie", "Zihang Dai", "Yulun Du", "Eduard Hovy", "Graham Neubig"], "From Bayesian Sparsity to Gated Recurrent Nets": ["Hao He", "Bo Xin", "Satoshi Ikehata", "David Wipf"], "Collaborative Deep Learning in Fixed Topology Networks": ["Zhanhong Jiang", "Aditya Balu", "Chinmay Hegde", "Soumik Sarkar"], "Deep Subspace Clustering Networks": ["Pan Ji", "Tong Zhang", "Hongdong Li", "Mathieu Salzmann", "Ian Reid"], "On clustering network-valued data": ["Soumendu Sundar Mukherjee", "Purnamrita Sarkar", "Lizhen Lin"], "Spectral Mixture Kernels for Multi-Output Gaussian Processes": ["Gabriel Parra", "Felipe Tobar"], "Predicting Scene Parsing and Motion Dynamics in the Future": ["Xiaojie Jin", "Huaxin Xiao", "Xiaohui Shen", "Jimei Yang", "Zhe Lin", "Yunpeng Chen", "Zequn Jie", "Jiashi Feng", "Shuicheng Yan"], "Hybrid Reward Architecture for Reinforcement Learning": ["Harm Van Seijen", "Mehdi Fatemi", "Romain Laroche", "Joshua Romoff", "Tavian Barnes", "Jeffrey Tsang"], "Learning Unknown Markov Decision Processes: A Thompson Sampling Approach": ["Yi Ouyang", "Mukul Gagrani", "Ashutosh Nayyar", "Rahul Jain"], "Boltzmann Exploration Done Right": ["Nicol\u00f2 Cesa-Bianchi", "Claudio Gentile", "Gergely Neu", "Gabor Lugosi"], "Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis": ["Jian Zhao", "Lin Xiong", "Panasonic Karlekar Jayashree", "Jianshu Li", "Fang Zhao", "Zhecan Wang", "Panasonic Sugiri Pranata", "Panasonic Shengmei Shen", "Shuicheng Yan", "Jiashi Feng"], "Imagination-Augmented Agents for Deep Reinforcement Learning": ["S\u00e9bastien Racani\u00e8re", "Theophane Weber", "David Reichert", "Lars Buesing", "Arthur Guez", "Danilo Jimenez Rezende", "Adri\u00e0 Puigdom\u00e8nech Badia", "Oriol Vinyals", "Nicolas Heess", "Yujia Li", "Razvan Pascanu", "Peter Battaglia", "Demis Hassabis", "David Silver", "Daan Wierstra"], "Targeting EEG/LFP Synchrony with Neural Nets": ["Yitong Li", "michael Murias", "samantha Major", "geraldine Dawson", "Kafui Dzirasa", "Lawrence Carin", "David E Carlson"], "Tomography of the London Underground: a Scalable Model for Origin-Destination Data": ["Nicol\u00f2 Colombo", "Ricardo Silva", "Soong Moon Kang"], "Identification of Gaussian Process State Space Models": ["Stefanos Eleftheriadis", "Tom Nicholson", "Marc Deisenroth", "James Hensman"], "Adaptive stimulus selection for optimizing neural population responses": ["Benjamin Cowley", "Ryan Williamson", "Katerina Clemens", "Matthew Smith", "Byron M Yu"], "Reinforcement Learning under Model Mismatch": ["Aurko Roy", "Huan Xu", "Sebastian Pokutta"], "Doubly Stochastic Variational Inference for Deep Gaussian Processes": ["Hugh Salimbeni", "Marc Deisenroth"], "The Numerics of GANs": ["Lars Mescheder", "Sebastian Nowozin", "Andreas Geiger"], "Shallow Updates for Deep Reinforcement Learning": ["Nir Levine", "Tom Zahavy", "Daniel J Mankowitz", "Aviv Tamar", "Shie Mannor"], "Fast-Slow Recurrent Neural Networks": ["Asier Mujika", "Florian Meier", "Angelika Steger"], "Non-convex Finite-Sum Optimization Via SCSG Methods": ["Lihua Lei", "Cheng Ju", "Jianbo Chen", "Michael Jordan"], "Balancing information exposure in social networks": ["Kiran Garimella", "Aristides Gionis", "Nikos Parotsidis", "Nikolaj Tatti"], "Sobolev Training for Neural Networks": ["Wojciech M. Czarnecki", "Simon Osindero", "Max Jaderberg", "Grzegorz Swirszcz", "Razvan Pascanu"], "Conservative Contextual Linear Bandits": ["Abbas Kazerouni", "Mohammad Ghavamzadeh", "Yasin Abbasi", "Benjamin Van Roy"], "Spherical convolutions and their application in molecular modelling": ["Wouter Boomsma", "Jes Frellsen"], "Zap Q-Learning": ["Adithya M Devraj", "Sean Meyn"], "Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems": ["Yonatan Belinkov", "James Glass"], "Deep Sets": ["Manzil Zaheer", "Satwik Kottur", "Siamak Ravanbakhsh", "Barnabas Poczos", "Ruslan Salakhutdinov", "Alexander Smola"], "Bayesian GAN": ["Yunus Saatci", "Andrew Wilson"], "Bridging the Gap Between Value and Policy Based Reinforcement Learning": ["Ofir Nachum", "Mohammad Norouzi", "Kelvin Xu", "Dale Schuurmans"], "How regularization affects the critical points in linear networks": ["Amirhossein Taghvaei", "Jin W Kim", "Prashant Mehta"], "Style Transfer from Non-Parallel Text by Cross-Alignment": ["Tianxiao Shen", "Tao Lei", "Regina Barzilay", "Tommi Jaakkola"], "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?": ["Alex Kendall", "Yarin Gal"], "Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System": ["Chengxu Zhuang", "Jonas Kubilius", "Mitra JZ Hartmann", "Daniel Yamins"], "Fader Networks:Manipulating Images by Sliding Attributes": ["Guillaume Lample", "Neil Zeghidour", "Nicolas Usunier", "Antoine Bordes", "Ludovic DENOYER", "Marc'Aurelio Ranzato"], "Convergence rates of a partition based Bayesian multivariate density estimation method": ["Linxi Liu", "Dangna Li", "Wing Hung Wong"], "Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning": ["Liangpeng Zhang", "Ke Tang", "Xin Yao"], "Learning ReLUs via Gradient Descent": ["Mahdi Soltanolkotabi"], "A-NICE-MC: Adversarial Training for MCMC": ["Jiaming Song", "Shengjia Zhao", "Stefano Ermon"], "EX2: Exploration with Exemplar Models for Deep Reinforcement Learning": ["Justin Fu", "John Co-Reyes", "Sergey Levine"], "Bayesian Compression for Deep Learning": ["Christos Louizos", "Karen Ullrich", "Max Welling"], "A Linear-Time Kernel Goodness-of-Fit Test": ["Wittawat Jitkrittum", "Wenkai Xu", "Zoltan Szabo", "Kenji Fukumizu", "Arthur Gretton"], "Dual Path Networks": ["Yunpeng Chen", "Jianan Li", "Huaxin Xiao", "Xiaojie Jin", "Shuicheng Yan", "Jiashi Feng"], "Deep Reinforcement Learning from Human Preferences": ["Paul F Christiano", "Jan Leike", "Tom Brown", "Miljan Martic", "Shane Legg", "Dario Amodei"], "Cortical microcircuits as gated-recurrent neural networks": ["Rui Costa", "Yannis Assael", "Brendan Shillingford", "Nando de Freitas", "TIm Vogels"], "Neural Expectation Maximization": ["Klaus Greff", "Sjoerd van Steenkiste", "J\u00fcrgen Schmidhuber"], "A simple model of recognition and recall memory": ["Nisheeth Srivastava", "Edward Vul"], "Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification": ["Jinseok Nam", "Eneldo Loza Menc\u00eda", "Hyunwoo J Kim", "Johannes F\u00fcrnkranz"], "Overcoming Catastrophic Forgetting by Incremental Moment Matching": ["Sang-Woo Lee", "Jin-Hwa Kim", "Jaehyun Jun", "Jung-Woo Ha", "Byoung-Tak Zhang"], "Expectation Propagation for t-Exponential Family Using q-Algebra": ["Futoshi Futami", "Issei Sato", "Masashi Sugiyama"], "VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning": ["Akash Srivastava", "Lazar Valkoz", "Chris Russell", "Michael U. Gutmann", "Charles Sutton"], "Multi-Information Source Optimization": ["Matthias Poloczek", "Jialei Wang", "Peter Frazier"], "Real Time Image Saliency for Black Box Classifiers": ["Piotr Dabkowski", "Yarin Gal"], "Dilated Recurrent Neural Networks": ["Shiyu Chang", "Yang Zhang", "Wei Han", "Mo Yu", "Xiaoxiao Guo", "Wei Tan", "Xiaodong Cui", "Michael Witbrock", "Mark A Hasegawa-Johnson", "Thomas Huang"], "Variational Memory Addressing in Generative Models": ["J\u00f6rg Bornschein", "Andriy Mnih", "Daniel Zoran", "Danilo Jimenez Rezende"], "Robust Imitation of Diverse Behaviors": ["Ziyu Wang", "Josh Merel", "Scott Reed", "Nando de Freitas", "Gregory Wayne", "Nicolas Heess"], "Variance-based Regularization with Convex Objectives": ["Hongseok Namkoong", "John C Duchi"], "Working hard to know your neighbor's margins: Local descriptor learning loss": ["Anastasiia Mishchuk", "Dmytro Mishkin", "Filip Radenovic", "Jiri Matas"], "Plan, Attend, Generate: Planning for Sequence-to-Sequence Models": ["Caglar Gulcehre", "Francis Dutil", "Adam Trischler", "Yoshua Bengio"], "Learning Hierarchical Information Flow with Recurrent Neural Modules": ["Danijar Hafner", "Alexander Irpan", "James Davidson", "Nicolas Heess"], "Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference": ["Geoffrey Roeder", "Yuhuai Wu", "David Duvenaud"], "Decoupling \"when to update\" from \"how to update\"": ["Eran Malach", "Shai Shalev-Shwartz"], "Deliberation Networks: Sequence Generation Beyond One-Pass Decoding": ["Yingce Xia", "Fei Tian", "Lijun Wu", "Jianxin Lin", "Tao Qin", "Nenghai Yu", "Tie-Yan Liu"], "Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models": ["Sergey Ioffe"], "Learning to Compose Domain-Specific Transformations for Data Augmentation": ["Alexander Ratner", "Henry Ehrenberg", "Zeshan Hussain", "Jared Dunnmon", "Christopher R\u00e9"], "Neural Discrete Representation Learning": ["Aaron van den Oord", "Oriol Vinyals", "koray kavukcuoglu"], "Online control of the false discovery rate with decaying memory": ["Aaditya Ramdas", "Fanny Yang", "Martin Wainwright", "Michael Jordan"], "Hindsight Experience Replay": ["Marcin Andrychowicz", "Dwight Crow", "Alex Ray", "Jonas Schneider", "Rachel Fong", "Peter Welinder", "Bob McGrew", "Josh Tobin", "OpenAI Pieter Abbeel", "Wojciech Zaremba"], "Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning": ["Shixiang Gu", "Tim Lillicrap", "Richard E Turner", "Zoubin Ghahramani", "Bernhard Sch\u00f6lkopf", "Sergey Levine"], "Optimistic posterior sampling for reinforcement learning: worst-case regret bounds": ["Shipra Agrawal", "Randy Jia"], "Self-Normalizing Neural Networks": ["G\u00fcnter Klambauer", "Thomas Unterthiner", "Andreas Mayr", "Sepp Hochreiter"], "Structured Bayesian Pruning via Log-Normal Multiplicative Noise": ["Kirill Neklyudov", "Dmitry Molchanov", "Arsenii Ashukha", "Dmitry Vetrov"], "Deep Hyperspherical Learning": ["Weiyang Liu", "Yan-Ming Zhang", "Xingguo Li", "Zhiding Yu", "Bo Dai", "Tuo Zhao", "Le Song"], "Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications": ["Qinshi Wang", "Wei Chen"], "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles": ["Balaji Lakshminarayanan", "Alexander Pritzel", "Charles Blundell"], "End-to-End Differentiable Proving": ["Tim Rockt\u00e4schel", "Sebastian Riedel"], "Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation": ["Christian Borgs", "Jennifer Chayes", "Christina Lee", "Devavrat Shah"], "Unbounded cache model for online language modeling with open vocabulary": ["Edouard Grave", "Moustapha Cisse", "Armand Joulin"], "Safe Model-based Reinforcement Learning with Stability Guarantees": ["Felix Berkenkamp", "Matteo Turchetta", "Angela Schoellig", "Andreas Krause"], "Process-constrained batch Bayesian optimisation": ["Pratibha Vellanki", "Santu Rana", "Sunil Gupta", "David Rubin", "Alessandra Sutti", "Thomas Dorin", "Murray Height", "Paul Sanders", "Svetha Venkatesh"], "Unsupervised Image-to-Image Translation Networks": ["Ming-Yu Liu", "Thomas Breuel", "Jan Kautz"], "Improved Training of Wasserstein GANs": ["Ishaan Gulrajani", "Faruk Ahmed", "Martin Arjovsky", "Vincent Dumoulin", "Aaron C Courville"], "Neural Program Meta-Induction": ["Jacob Devlin", "Rudy R Bunel", "Rishabh Singh", "Matthew Hausknecht", "Pushmeet Kohli"], "Non-Stationary Spectral Kernels": ["Sami Remes", "Markus Heinonen", "Samuel Kaski"], "Inductive Representation Learning on Large Graphs": ["Will Hamilton", "Zhitao Ying", "Jure Leskovec"], "Linear Time Computation of Moments in Sum-Product Networks": ["Han Zhao", "Geoffrey Gordon"], "Renyi Differential Privacy Mechanisms for Posterior Sampling": ["Joseph Geumlek", "Shuang Song", "Kamalika Chaudhuri"], "Exploring Generalization in Deep Learning": ["Behnam Neyshabur", "Srinadh Bhojanapalli", "David Mcallester", "Nati Srebro"], "Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results": ["Antti Tarvainen", "Harri Valpola"], "Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks": ["Ziming Zhang", "Matthew Brand"], "An Empirical Bayes Approach to Optimizing Machine Learning Algorithms": ["James McInerney"], "Visual Reference Resolution using Attention Memory for Visual Dialog": ["Paul Hongsuck Seo", "Andreas Lehrmann", "Bohyung Han", "Leonid Sigal"], "Triple Generative Adversarial Nets": ["Chongxuan LI", "Taufik Xu", "Jun Zhu", "Bo Zhang"], "A Unified Approach to Interpreting Model Predictions": ["Scott M Lundberg", "Su-In Lee"], "Cold-Start Reinforcement Learning with Softmax Policy Gradient": ["Nan Ding", "Radu Soricut"], "Distral: Robust multitask reinforcement learning": ["Yee Teh", "Victor Bapst", "Wojciech M. Czarnecki", "John Quan", "James Kirkpatrick", "Raia Hadsell", "Nicolas Heess", "Razvan Pascanu"], "Protein Interface Prediction using Graph Convolutional Networks": ["Alex Fout", "Jonathon Byrd", "Basir Shariat", "Asa Ben-Hur"], "Generating steganographic images via adversarial training": ["Jamie Hayes", "George Danezis"], "DropoutNet: Addressing Cold Start in Recommender Systems": ["Maksims Volkovs", "Guangwei Yu", "Tomi Poutanen"], "Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization": ["Hyeonwoo Noh", "Tackgeun You", "Jonghwan Mun", "Bohyung Han"], "Learning to Inpaint for Image Compression": ["Mohammad Haris Baig", "Vladlen Koltun", "Lorenzo Torresani"], "Inverse Reward Design": ["Dylan Hadfield-Menell", "Smitha Milli", "Pieter Abbeel", "Stuart J Russell", "Anca Dragan"], "Coded Distributed Computing for Inverse Problems": ["Yaoqing Yang", "Pulkit Grover", "Soummya Kar"], "Runtime Neural Pruning": ["Ji Lin", "Yongming Rao", "Jiwen Lu", "Jie Zhou"], "PixelGAN Autoencoders": ["Alireza Makhzani", "Brendan J Frey"], "Adversarial Ranking for Language Generation": ["Kevin Lin", "Dianqi Li", "Xiaodong He", "Ming-ting Sun", "Zhengyou Zhang"], "f-GANs in an Information Geometric Nutshell": ["Richard Nock", "Zac Cranko", "Aditya K Menon", "Lizhen Qu", "Robert C Williamson"], "Introspective Classification with Convolutional Nets": ["Long Jin", "Justin Lazarow", "Zhuowen Tu"], "On the Model Shrinkage Effect of Gamma Process Edge Partition Models": ["Iku Ohama", "Issei Sato", "Takuya Kida", "Hiroki Arimura"], "Toward Multimodal Image-to-Image Translation": ["Jun-Yan Zhu", "Richard Zhang", "Deepak Pathak", "Trevor Darrell", "Alexei Efros", "Oliver Wang", "Eli Shechtman"], "PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs": ["Yunbo Wang", "Mingsheng Long", "Jianmin Wang", "Zhifeng Gao", "Philip S Yu"], "Communication-Efficient Distributed Learning of Discrete Distributions": ["Ilias Diakonikolas", "Elena Grigorescu", "Jerry Li", "Abhiram Natarajan", "Krzysztof Onak", "Ludwig Schmidt"], "Learning Multiple Tasks with Multilinear Relationship Networks": ["Mingsheng Long", "ZHANGJIE CAO", "Jianmin Wang", "Philip S Yu"], "Training Deep Networks without Learning Rates Through Coin Betting": ["Francesco Orabona", "Tatiana Tommasi"], "Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes": ["Zhenwen Dai", "Mauricio A. \u00c1lvarez", "Neil Lawrence"], "Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods": ["Veeranjaneyulu Sadhanala", "Yu-Xiang Wang", "James Sharpnack", "Ryan Tibshirani"], "Multiresolution Kernel Approximation for Gaussian Process Regression": ["Yi Ding", "Risi Kondor", "Jonathan Eskreis-Winkler"], "Adaptive Bayesian Sampling with Monte Carlo EM": ["Anirban Roychowdhury", "Srinivasan Parthasarathy"], "Learning Combinatorial Optimization Algorithms over Graphs": ["Elias Khalil", "Hanjun Dai", "Yuyu Zhang", "Bistra Dilkina", "Le Song"], "TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning": ["Wei Wen", "Cong Xu", "Feng Yan", "Chunpeng Wu", "Yandan Wang", "Yiran Chen", "Hai Li"], "Triangle Generative Adversarial Networks": ["Zhe Gan", "Liqun Chen", "Weiyao Wang", "Yuchen Pu", "Yizhe Zhang", "Hao Liu", "Chunyuan Li", "Lawrence Carin"], "Population Matching Discrepancy and Applications in Deep Learning": ["Jianfei Chen", "Chongxuan LI", "Yizhong Ru", "Jun Zhu"], "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks": ["Federico Monti", "Michael Bronstein", "Xavier Bresson"], "Adaptive Batch Size for Safe Policy Gradients": ["Matteo Papini", "Matteo Pirotta", "Marcello Restelli"], "Nonbacktracking Bounds on the Influence in Independent Cascade Models": ["Emmanuel Abbe", "Sanjeev Kulkarni", "Eun Jee Lee"], "Concrete Dropout": ["Yarin Gal", "Jiri Hron", "Alex Kendall"], "InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations": ["Yunzhu Li", "Jiaming Song", "Stefano Ermon"], "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models": ["Alex Lamb", "Devon Hjelm", "Yaroslav Ganin", "Joseph Paul Cohen", "Aaron C Courville", "Yoshua Bengio"], "Fisher GAN": ["Youssef Mroueh", "Tom Sercu"], "ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events": ["Evan Racah", "Christopher Beckham", "Tegan Maharaj", "Samira Ebrahimi Kahou", "Mr. Prabhat", "Chris Pal"], "Deep Voice 2: Multi-Speaker Neural Text-to-Speech": ["Andrew Gibiansky", "Sercan Arik", "Gregory Diamos", "John Miller", "Kainan Peng", "Wei Ping", "Jonathan Raiman", "Yanqi Zhou"], "Good Semi-supervised Learning That Requires a Bad GAN": ["Zihang Dai", "Zhilin Yang", "Fan Yang", "William W Cohen", "Ruslan Salakhutdinov"], "Nonlinear random matrix theory for deep learning": ["Jeffrey Pennington", "Pratik Worah"], "Pose Guided Person Image Generation": ["Liqian Ma", "Xu Jia", "Qianru Sun", "Bernt Schiele", "Tinne Tuytelaars", "Luc Van Gool"], "Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes": ["Jeremiah Liu", "Brent Coull"], "On the Complexity of Learning Neural Networks": ["Le Song", "Santosh Vempala", "John Wilmes", "Bo Xie"], "State Aware Imitation Learning": ["Yannick Schroecker", "Charles L Isbell"], "Causal Effect Inference with Deep Latent-Variable Models": ["Christos Louizos", "Uri Shalit", "Joris M Mooij", "David Sontag", "Richard Zemel", "Max Welling"], "Learning Efficient Object Detection Models with Knowledge Distillation": ["Guobin Chen", "Wongun Choi", "Xiang Yu", "Tony Han", "Manmohan Chandraker"], "Reliable Decision Support using Counterfactual Models": ["Peter Schulam", "Suchi Saria"], "Gated Recurrent Convolution Neural Network for OCR": ["Jianfeng Wang", "Xiaolin Hu"], "Minimal Exploration in Structured Stochastic Bandits": ["Richard Combes", "Stefan Magureanu", "Alexandre Proutiere"], "Cross-Spectral Factor Analysis": ["Neil Gallagher", "Kyle Ulrich", "Austin Talbot", "Kafui Dzirasa", "Lawrence Carin", "David E Carlson"], "Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee": ["Alireza Aghasi", "Afshin Abdi", "Nam Nguyen", "Justin Romberg"], "Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems": ["Ingmar Kanitscheider", "Ila Fiete"], "Predictive State Recurrent Neural Networks": ["Carlton Downey", "Ahmed Hefny", "Byron Boots", "Geoffrey Gordon", "Boyue Li"], "A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning": ["Marc Lanctot", "Vinicius Zambaldi", "Audrunas Gruslys", "Angeliki Lazaridou", "karl Tuyls", "Julien Perolat", "David Silver", "Thore Graepel"], "Linearly constrained Gaussian processes": ["Carl Jidling", "Niklas Wahlstr\u00f6m", "Adrian Wills", "Thomas B Sch\u00f6n"], "VAE Learning via Stein Variational Gradient Descent": ["Yuchen Pu", "Zhe Gan", "Ricardo Henao", "Chunyuan Li", "Shaobo Han", "Lawrence Carin"], "SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud": ["Zahra Ghodsi", "Tianyu Gu", "Siddharth Garg"], "Towards Generalization and Simplicity in Continuous Control": ["Aravind Rajeswaran", "Kendall Lowrey", "Emanuel Todorov", "Sham Kakade"], "Incorporating Side Information by Adaptive Convolution": ["Di Kang", "Debarun Dhar", "Antoni Chan"], "Matching neural paths: transfer from recognition to correspondence search": ["Nikolay Savinov", "Lubor Ladicky", "Marc Pollefeys"], "Active Exploration for Learning Symbolic Representations": ["Garrett Andersen", "George Konidaris"], "Learned D-AMP: Principled Neural Network based Compressive Image Recovery": ["Chris Metzler", "Ali Mousavi", "Richard Baraniuk"], "Reconstruct & Crush Network": ["Erinc Merdivan", "Mohammad Reza Loghmani", "Matthieu Geist"], "Bayesian Optimization with Gradients": ["Jian Wu", "Matthias Poloczek", "Andrew Wilson", "Peter Frazier"], "One-Shot Imitation Learning": ["Yan Duan", "Marcin Andrychowicz", "Bradly Stadie", "OpenAI Jonathan Ho", "Jonas Schneider", "Ilya Sutskever", "Pieter Abbeel", "Wojciech Zaremba"], "QMDP-Net: Deep Learning for Planning under Partial Observability": ["Peter Karkus", "David Hsu", "Wee Sun Lee"], "A simple neural network module for relational reasoning": ["Adam Santoro", "David Raposo", "David Barrett", "Mateusz Malinowski", "Razvan Pascanu", "Peter Battaglia", "Tim Lillicrap"], "Multimodal Learning and Reasoning for Visual Question Answering": ["Ilija Ilievski", "Jiashi Feng"], "Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons": ["Nikhil Parthasarathy", "Eleanor Batty", "William Falcon", "Thomas Rutten", "Mohit Rajpal", "E.J. Chichilnisky", "Liam Paninski"], "Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples": ["Haw-Shiuan Chang", "Erik Learned-Miller", "Andrew McCallum"], "Learning Affinity via Spatial Propagation Networks": ["Sifei Liu", "Shalini De Mello", "Jinwei Gu", "Guangyu Zhong", "Ming-Hsuan Yang", "Jan Kautz"], "Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks": ["Urs K\u00f6ster", "Tristan Webb", "Xin Wang", "Marcel Nassar", "Arjun K Bansal", "William Constable", "Oguz Elibol", "Stewart Hall", "Luke Hornof", "Amir Khosrowshahi", "Carey Kloss", "Ruby J Pai", "Naveen Rao"], "Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice": ["Jeffrey Pennington", "Samuel Schoenholz", "Surya Ganguli"], "Predictive-State Decoders: Encoding the Future into Recurrent Networks": ["Arun Venkatraman", "Nicholas Rhinehart", "Wen Sun", "Lerrel Pinto", "Martial Hebert", "Byron Boots", "Kris Kitani", "J. Bagnell"], "Streaming Sparse Gaussian Process Approximations": ["Thang D Bui", "Cuong Nguyen", "Richard E Turner"], "Reconstructing perceived faces from brain activations with deep adversarial neural decoding": ["Ya\u011fmur G\u00fc\u00e7l\u00fct\u00fcrk", "Umut G\u00fc\u00e7l\u00fc", "Katja Seeliger", "Sander Bosch", "Rob van Lier", "Marcel A. J. van Gerven"], "ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching": ["Chunyuan Li", "Hao Liu", "Changyou Chen", "Yuchen Pu", "Liqun Chen", "Ricardo Henao", "Lawrence Carin"], "Lower bounds on the robustness to adversarial perturbations": ["Jonathan Peck", "Joris Roels", "Bart Goossens", "Yvan Saeys"], "Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples": ["Moustapha Cisse", "Yossi Adi", "Natalia Neverova", "Joseph Keshet"], "Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning": ["El Mahdi El Mhamdi", "Rachid Guerraoui", "Hadrien Hendrikx", "Alexandre Maurer"], "Dual Discriminator Generative Adversarial Nets": ["Tu Nguyen", "Trung Le", "Hung Vu", "Dinh Phung"], "Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data": ["Wei-Ning Hsu", "Yu Zhang", "James Glass"], "Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation": ["Yuhuai Wu", "Elman Mansimov", "Roger Grosse", "Shun Liao", "Jimmy Ba"], "Few-Shot Adversarial Domain Adaptation": ["Saeid Motiian", "Quinn Jones", "Seyed Iranmanesh", "Gianfranco Doretto"], "Scalable Levy Process Priors for Spectral Kernel Learning": ["Phillip A Jang", "Andrew Loeb", "Matthew Davidow", "Andrew Wilson"], "Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations": ["Eirikur Agustsson", "Fabian Mentzer", "Michael Tschannen", "Lukas Cavigelli", "Radu Timofte", "Luca Benini", "Luc V Gool"], "Language Modeling with Recurrent Highway Hypernetworks": ["Joseph Suarez"], "A Bayesian Data Augmentation Approach for Learning Deep Models": ["Toan Tran", "Trung Pham", "Gustavo Carneiro", "Lyle Palmer", "Ian Reid"], "Deep Dynamic Poisson Factorization Model": ["ChengYue Gong", "win-bin huang"], "Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks": ["Nanyang Ye", "Zhanxing Zhu", "Rafal Mantiuk"], "Compatible Reward Inverse Reinforcement Learning": ["Alberto Maria Metelli", "Matteo Pirotta", "Marcello Restelli"], "Gaussian process based nonlinear latent structure discovery in multivariate spike train data": ["Anqi Wu", "Nicholas Roy", "Stephen Keeley", "Jonathan W Pillow"], "Saliency-based Sequential Image Attention with Multiset Prediction": ["Sean Welleck", "Jialin Mao", "Kyunghyun Cho", "Zheng Zhang"], "Learned in Translation: Contextualized Word Vectors": ["Bryan McCann", "James Bradbury", "Caiming Xiong", "Richard Socher"], "#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning": ["Haoran Tang", "Rein Houthooft", "Davis Foote", "Adam Stooke", "OpenAI Xi Chen", "Yan Duan", "John Schulman", "Filip DeTurck", "Pieter Abbeel"], "Dynamic-Depth Context Tree Weighting": ["Joao V Messias", "Shimon Whiteson"], "Variational Inference for Gaussian Process Models with Linear Complexity": ["Ching-An Cheng", "Byron Boots"], "Dualing GANs": ["Yujia Li", "Alexander Schwing", "Kuan-Chieh Wang", "Richard Zemel"], "Recurrent Ladder Networks": ["Isabeau Pr\u00e9mont-Schwarz", "Alexander Ilin", "Tele Hao", "Antti Rasmus", "Rinu Boney", "Harri Valpola"], "Convergence of Gradient EM on Multi-component Mixture of Gaussians": ["Bowei Yan", "Mingzhang Yin", "Purnamrita Sarkar"], "Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference": ["Abhishek Kumar", "Prasanna Sattigeri", "Tom Fletcher"], "Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks": ["Arash Vahdat"], "Spectrally-normalized margin bounds for neural networks": ["Peter Bartlett", "Dylan J Foster", "Matus Telgarsky"], "Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes": ["Anton Mallasto", "Aasa Feragen"], "One-Sided Unsupervised Domain Mapping": ["Sagie Benaim", "Lior Wolf"], "Lookahead  Bayesian Optimization with Inequality Constraints": ["Remi Lam", "Karen Willcox"], "Attention is All you Need": ["Ashish Vaswani", "Noam Shazeer", "Niki Parmar", "Jakob Uszkoreit", "Llion Jones", "Aidan N Gomez", "\u0141ukasz Kaiser", "Illia Polosukhin"], "MMD GAN: Towards Deeper Understanding of Moment Matching Network": ["Chun-Liang Li", "Wei-Cheng Chang", "Yu Cheng", "Yiming Yang", "Barnabas Poczos"], "Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation": ["Matthias Hein", "Maksym Andriushchenko"], "Riemannian approach to batch normalization": ["Minhyung Cho", "Jaehyung Lee"], "Robust Optimization for Non-Convex Objectives": ["Robert S Chen", "Brendan Lucier", "Yaron Singer", "Vasilis Syrgkanis"], "Time-dependent spatially varying graphical models, with application to brain fMRI data analysis": ["Kristjan Greenewald", "Seyoung Park", "Shuheng Zhou", "Alexander Giessing"], "Successor Features for Transfer in Reinforcement Learning": ["Andre Barreto", "Will Dabney", "Remi Munos", "Jonathan Hunt", "Tom Schaul", "David Silver", "Hado van Hasselt"], "Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes": ["Taylor W Killian", "Samuel Daulton", "Finale Doshi-Velez", "George Konidaris"], "The Scaling Limit of High-Dimensional Online Independent Component Analysis": ["Chuang Wang", "Yue Lu"], "Regret Minimization in MDPs with Options without Prior Knowledge": ["Ronan Fruit", "Matteo Pirotta", "Alessandro Lazaric", "Emma Brunskill"], "Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning": ["Christoph Dann", "Tor Lattimore", "Emma Brunskill"], "Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting": ["Yue Wang", "Wei Chen", "Yuting Liu", "Zhi-Ming Ma", "Tie-Yan Liu"], "Convolutional Gaussian Processes": ["Mark van der Wilk", "Carl Edward Rasmussen", "James Hensman"], "Continual Learning with Deep Generative Replay": ["Hanul Shin", "Jung Kwon Lee", "Jaehong Kim", "Jiwon Kim"], "Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D  Electronic Densities": ["Michael Eickenberg", "Georgios Exarchakis", "Matthew Hirn", "Stephane Mallat"], "VAIN: Attentional Multi-agent Predictive Modeling": ["Yedid Hoshen"], "Premise Selection for Theorem Proving by Deep Graph Embedding": ["Mingzhe Wang", "Yihe Tang", "Jian Wang", "Jia Deng"], "Gradient Episodic Memory for Continual Learning": ["David Lopez-Paz", "Marc'Aurelio Ranzato"], "Bandits Dueling on Partially Ordered Sets": ["Julien Audiffren", "Liva Ralaivola"], "PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space": ["Charles Ruizhongtai Qi", "Li Yi", "Hao Su", "Leonidas J Guibas"], "Deep Lattice Networks and Partial Monotonic Functions": ["Seungil You", "David Ding", "Kevin Canini", "Jan Pfeifer", "Maya Gupta"], "Preventing Gradient Explosions in Gated Recurrent Units": ["Sekitoshi Kanai", "Yasuhiro Fujiwara", "Sotetsu Iwamura"], "Gradient descent GAN optimization is locally stable": ["Vaishnavh Nagarajan", "J. Zico Kolter"], "GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium": ["Martin Heusel", "Hubert Ramsauer", "Thomas Unterthiner", "Bernhard Nessler", "Sepp Hochreiter"], "SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability": ["Maithra Raghu", "Justin Gilmer", "Jason Yosinski", "Jascha Sohl-Dickstein"], "Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation": ["Zhaohan Guo", "Philip S. Thomas", "Emma Brunskill"], "Wasserstein Learning of Deep Generative Point Process Models": ["SHUAI XIAO", "Mehrdad Farajtabar", "Xiaojing Ye", "Junchi Yan", "Xiaokang Yang", "Le Song", "Hongyuan Zha"], "Online Reinforcement Learning in Stochastic Games": ["Chen-Yu Wei", "Yi-Te Hong", "Chi-Jen Lu"], "Mean Field Residual Networks: On the Edge of Chaos": ["Ge Yang", "Samuel Schoenholz"], "Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models": ["Chris Oates", "Steven Niederer", "Angela Lee", "Fran\u00e7ois-Xavier Briol", "Mark Girolami"], "Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols": ["Serhii Havrylov", "Ivan Titov"], "QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding": ["Dan Alistarh", "Demjan Grubic", "Jerry Li", "Ryota Tomioka", "Milan Vojnovic"], "Repeated Inverse Reinforcement Learning": ["Kareem Amin", "Nan Jiang", "Satinder Singh"], "Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model": ["Xingjian Shi", "Zhihan Gao", "Leonard Lausen", "Hao Wang", "Dit-Yan Yeung", "Wai-kin Wong", "Wang-chun WOO"], "Invariance and Stability of Deep Convolutional Representations": ["Alberto Bietti", "Julien Mairal"], "Towards Accurate Binary Convolutional Neural Network": ["Xiaofan Lin", "Cong Zhao", "Wei Pan"], "ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games": ["Yuandong Tian", "Qucheng Gong", "Wenling Shang", "Yuxin Wu", "C. Lawrence Zitnick"], "Value Prediction Network": ["Junhyuk Oh", "Satinder Singh", "Honglak Lee"], "MarrNet: 3D Shape Reconstruction via 2.5D Sketches": ["Jiajun Wu", "Yifan Wang", "Tianfan Xue", "Xingyuan Sun", "Bill Freeman", "Josh Tenenbaum"], "NeuralFDR: Learning Discovery Thresholds from Hypothesis Features": ["Fei Xia", "Martin J Zhang", "James Zou", "David Tse"], "Scalable Log Determinants for Gaussian Process Kernel Learning": ["Kun Dong", "David Eriksson", "Hannes Nickisch", "David Bindel", "Andrew Wilson"], "Inhomogeneous Hypergraph Clustering with Applications": ["Pan Li", "Olgica Milenkovic"], "Non-parametric Structured Output Networks": ["Andreas Lehrmann", "Leonid Sigal"], "Label Efficient Learning of Transferable Representations acrosss Domains and Tasks": ["Zelun Luo", "Yuliang Zou", "Judy Hoffman", "Li Fei-Fei"], "Is the Bellman residual a bad proxy?": ["Matthieu Geist", "Bilal Piot", "Olivier Pietquin"], "Learning to Pivot with Adversarial Networks": ["Gilles Louppe", "Michael Kagan", "Kyle Cranmer"], "Hierarchical Attentive Recurrent Tracking": ["Adam Kosiorek", "Alex Bewley", "Ingmar Posner"], "Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks": ["Prateep Bhattacharjee", "Sukhendu Das"], "Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks": ["Wei-Sheng Lai", "Jia-Bin Huang", "Ming-Hsuan Yang"], "A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning": ["Marco Fraccaro", "Simon Kamronn", "Ulrich Paquet", "Ole Winther"], "Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein\u2019s Lemma": ["Zhuoran Yang", "krishnakumar balasubramanian", "Princeton Zhaoran Wang", "Han Liu"], "SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks": ["Kyuhong Shim", "Minjae Lee", "Iksoo Choi", "Yoonho Boo", "Wonyong Sung"], "AdaGAN: Boosting Generative Models": ["Ilya Tolstikhin", "Sylvain Gelly", "Olivier Bousquet", "Carl-Johann SIMON-GABRIEL", "Bernhard Sch\u00f6lkopf"], "GP CaKe: Effective brain connectivity with causal kernels": ["Luca Ambrogioni", "Max Hinne", "Marcel Van Gerven", "Eric Maris"], "Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net": ["Anirudh Goyal ALIAS PARTH GOYAL", "Nan Ke", "Surya Ganguli", "Yoshua Bengio"], "Natural Value Approximators: Learning when to Trust Past Estimates": ["Zhongwen Xu", "Joseph Modayil", "Hado van Hasselt", "Andre Barreto", "David Silver", "Tom Schaul"], "Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning": ["Zhen He", "Shaobing Gao", "Liang Xiao", "Daxue Liu", "Hangen He", "David Barber"], "Bayesian Dyadic Trees and Histograms for  Regression": ["St\u00e9phanie van der Pas", "Veronika Rockova"], "Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network": ["Wengong Jin", "Connor Coley", "Regina Barzilay", "Tommi Jaakkola"], "YASS: Yet Another Spike Sorter": ["Jin Hyung Lee", "David E Carlson", "Hooshmand Shokri Razaghi", "Weichi Yao", "Georges A Goetz", "Espen Hagen", "Eleanor Batty", "E.J. Chichilnisky", "Gaute T. Einevoll", "Liam Paninski"], "Modulating early visual processing by language": ["Harm de Vries", "Florian Strub", "Jeremie Mary", "Hugo Larochelle", "Olivier Pietquin", "Aaron C Courville"], "The Importance of Communities for Learning to Influence": ["Eric Balkanski", "Nicole Immorlica", "Yaron Singer"], "Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon": ["Xin Dong", "Shangyu Chen", "Sinno Pan"], "Selective Classification for Deep Neural Networks": ["Yonatan Geifman", "Ran El-Yaniv"], "Stabilizing Training of Generative Adversarial Networks through Regularization": ["Kevin Roth", "Aurelien Lucchi", "Sebastian Nowozin", "Thomas Hofmann"], "Structured Generative Adversarial Networks": ["Zhijie Deng", "Hao Zhang", "Xiaodan Liang", "Luona Yang", "Shizhen Xu", "Jun Zhu", "Eric P Xing"], "Deep Mean-Shift Priors for Image Restoration": ["Siavash Arjomand Bigdeli", "Matthias Zwicker", "Paolo Favaro", "Meiguang Jin"], "Generalizing GANs: A Turing Perspective": ["Roderich Gross", "Yue Gu", "Wei Li", "Melvin Gauci"], "Approximation and Convergence Properties of Generative Adversarial Learning": ["Shuang Liu", "Olivier Bousquet", "Kamalika Chaudhuri"], "Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets": ["Karol Hausman", "Yevgen Chebotar", "Stefan Schaal", "Gaurav Sukhatme", "Joseph J Lim"], "Train longer, generalize better: closing the generalization gap in large batch training of neural networks": ["Elad Hoffer", "Itay Hubara", "Daniel Soudry"], "Adversarial Symmetric Variational Autoencoder": ["Yuchen Pu", "Weiyao Wang", "Ricardo Henao", "Liqun Chen", "Zhe Gan", "Chunyuan Li", "Lawrence Carin"], "Alternating Estimation for Structured High-Dimensional Multi-Response Models": ["Sheng Chen", "Arindam Banerjee"], "The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process": ["Hongyuan Mei", "Jason Eisner"], "Deep Learning with Topological Signatures": ["Christoph Hofer", "Roland Kwitt", "Marc Niethammer", "Andreas Uhl"], "Deep Hyperalignment": ["Muhammad Yousefnezhad", "Daoqiang Zhang"], "Compression-aware Training of Deep Networks": ["Jose Alvarez", "Mathieu Salzmann"]}, {"Thinking Fast and Slow with Deep Learning and Tree Search": ["DL", "RL"], "Minimax Estimation of Bandable Precision Matrices": ["BY"], "Eigen-Distortions of Hierarchical Representations": ["DL"], "The Reversible Residual Network: Backpropagation Without Storing Activations": ["DL"], "SchNet: A continuous-filter convolutional neural network for modeling quantum interactions": ["DL"], "Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems": ["BY"], "Controllable Invariance through Adversarial Feature Learning": ["DL"], "From Bayesian Sparsity to Gated Recurrent Nets": ["BY"], "Collaborative Deep Learning in Fixed Topology Networks": ["DL"], "Deep Subspace Clustering Networks": ["DL"], "On clustering network-valued data": ["DL", "BY"], "Spectral Mixture 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Effect with Gaussian Processes": ["BY"], "On the Complexity of Learning Neural Networks": ["DL"], "State Aware Imitation Learning": ["RL"], "Causal Effect Inference with Deep Latent-Variable Models": ["DL"], "Learning Efficient Object Detection Models with Knowledge Distillation": ["DL"], "Reliable Decision Support using Counterfactual Models": ["BY"], "Gated Recurrent Convolution Neural Network for OCR": ["DL"], "Minimal Exploration in Structured Stochastic Bandits": ["RL"], "Cross-Spectral Factor Analysis": ["BY"], "Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee": ["DL"], "Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems": ["DL"], "Predictive State Recurrent Neural Networks": ["DL"], "A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning": ["DL", "RL"], "Linearly constrained Gaussian processes": ["BY"], "VAE Learning via Stein Variational Gradient Descent": ["DL"], "SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud": ["DL"], "Towards Generalization and Simplicity in Continuous Control": ["RL"], "Incorporating Side Information by Adaptive Convolution": ["DL"], "Matching neural paths: transfer from recognition to correspondence search": ["DL"], "Active Exploration for Learning Symbolic Representations": ["RL"], "Learned D-AMP: Principled Neural Network based Compressive Image Recovery": ["DL"], "Reconstruct & Crush Network": ["DL"], "Bayesian Optimization with Gradients": ["BY"], "One-Shot Imitation Learning": ["RL"], "QMDP-Net: Deep Learning for Planning under Partial Observability": ["DL"], "A simple neural network module for relational reasoning": ["DL"], "Multimodal Learning and Reasoning for Visual Question Answering": ["DL"], "Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons": ["DL"], "Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples": ["DL"], 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Montreal", "Jialei Wang": "IBM", "Adri\u00e0 Puigdom\u00e8nech Badia": "Google DeepMind", "Joris Roels": "Ghent University", "Richard E Turner": "University of Cambridge", "Ji Lin": "Tsinghua University", "Anirudh Goyal ALIAS PARTH GOYAL": "Universit\u00e9 de Montr\u00e9al", "Jaehyung Lee": "Gracenote", "Chengxu Zhuang": "Stanford University", "El Mahdi El Mhamdi": "EPFL", "Jonas Schneider": "OpenAI", "William Falcon": "Columbia University", "Yu-Xiang Wang": "CMU / Amazon AI", "Jiwen Lu": "Tsinghua University", "Yasuhiro Fujiwara": "NTT Software Innovation Center", "Tuo Zhao": "Georgia Tech", "Richard Nock": "Data61, The Australian National University & The University of Sydney", "Joseph Geumlek": "UCSD", "Panasonic Shengmei Shen": "Panasonic, Singapore", "Taufik Xu": "Tsinghua University", "Akash Srivastava": "University of Edinburgh", "Byron M Yu": "Carnegie Mellon University", "Rahul Jain": "University of Southern California", "Fanny Yang": "University of California, Berkeley", "Benjamin Xiao": "Georgia Institute of Technology", "Hadrien Hendrikx": "EPFL", "Fang Zhao": "National University of Singapore", "Judy Hoffman": "UC Berkeley", "Dylan Hadfield-Menell": "UC Berkeley", "Sean Meyn": "University of Florida", "Bilal Piot": "DeepMind", "Christopher Beckham": "MILA", "Robert Williamson": "Australian National University & Data61", "Jian Wang": "University of Michigan", "Murray Height": "Deakin University", "Andrew Gibiansky": "Baidu Research", "Jose Alvarez": "TRI", "Maksims Volkovs": "layer6.ai", "Pulkit Grover": "CMU", "Timothy Lillicrap": "Google DeepMind", "Haw-Shiuan Chang": "UMass, Amherst", "Maithra Raghu": "Cornell University and Google Brain", "Jonathan Hunt": "DeepMind", "Shie Mannor": "Technion", "David Mcallester": "Toyota Tech Institute Chicago", "Grzegorz Swirszcz": "DeepMind @ Google", "Kris Kitani": "Carnegie Mellon University", "Luca Ambrogioni": "Donders Institute", "Thomas Anthony": "UCL", "Jiaming Song": "Stanford University", "Max Hinne": "Radboud University", "Andreas Lehrmann": "Disney Research", "Xiaodan Liang": "Carnegie Mellon University", "Karen Willcox": "MIT", "Carey Kloss": "Intel", "Yizhe Zhang": "Duke university", "Stefano Ermon": "Stanford", "Hyeonwoo Noh": "POSTECH", "Ran El-Yaniv": "Technion", "Ishaan Gulrajani": "Google", "Yasin Abbasi": "Adobe Research", "Jure Leskovec": "Stanford University", "Ricardo Henao": "Duke University", "Niki Parmar": "Google", "Shane Legg": "DeepMind", "Sheng Chen": "University of Minnesota", "Yunus Saatci": "Uber AI Labs", "Brent Coull": "Harvard University", "Bo Dai": "Georgia Tech", "Hanjun Dai": "Georgia Tech", "Ming-Yu Liu": "NVIDIA", "Naveen Rao": "Intel", "Jamie Hayes": "University College London", "Uri Shalit": "", "Yiming Yang": "CMU", "Kainan Peng": "Baidu Research", "Ya\u011fmur G\u00fc\u00e7l\u00fct\u00fcrk": "Radboud University", "Chi-Jen Lu": "Academia Sinica", "Saeid Motiian": "West Virginia University", "Eric Balkanski": "Harvard University", "Amir Khosrowshahi": "Intel", "Xiaohui Shen": "Adobe", "Shalini De Mello": "NVIDIA", "Bob McGrew": "OpenAI", "Abbas Kazerouni": "Stanford University", "Paolo Favaro": "University of Bern", "Matthew Smith": "University of Pittsburgh", "James McInerney": "Spotify Research", "Han Zhao": "Carnegie Mellon University", "Rinu Boney": "", "Tom Nicholson": "PROWLER.IO", "Feng Yan": "University of Nevada, Reno", "Sunil Gupta": "Deakin University", "Stefan Schaal": "MPI-IS and USC", "Luke Hornof": "Intel Nervana", "Yanqi Zhou": "Baidu Research", "Emanuel Todorov": "University of Washington", "James Hensman": "PROWLER.io", "Sekitoshi Kanai": "NTT", "Eric Xing": "Carnegie Mellon University", "Nicol\u00f2 Cesa-Bianchi": "Universit\u00e0 degli Studi di Milano, Italy", "Karen Ullrich": "University of Amsterdam", "Eirikur Agustsson": "ETH Zurich", "Sanjeev Kulkarni": "Princeton University", "Anqi Wu": "Princeton University", "Yihe Tang": "Carnegie Mellon University", "Eneldo Loza Menc\u00eda": "Technische Universit\u00e4t Darmstadt", "Marcello Restelli": "Politecnico di Milano", "Adam Santoro": "DeepMind", "Liang Xiao": "National University of Defense Technology", "Shengjia Zhao": "Stanford University", "Jan Leike": "DeepMind", "Jianxin Lin": "USTC", "Marc Pollefeys": "ETH Zurich", "Alexander Ratner": "Stanford", "David Sontag": "MIT", "Behnam Neyshabur": "Institute for Advanced Study", "Jung-Woo Ha": "Clova, NAVER Corp.", "Eun Jee Lee": "Princeton University", "Lerrel Pinto": "", "Zhanhong Jiang": "Iowa State University", "Jiajun Wu": "MIT", "Andreas Krause": "ETHZ", "Oguz Elibol": "Intel Nervana", "Sepp Hochreiter": "LIT AI Lab / University Linz", "Zihang Dai": "Carnegie Mellon University", "Garrett Andersen": "PROWLER.io", "Zhi-Ming Ma": "", "Panasonic Sugiri Pranata": "Panasonic, Singapore", "Julien Perolat": "DeepMind", "Zequn Jie": "Tencent AI Lab", "John Schulman": "OpenAI", "Nam Nguyen": "IBM Thomas J. Watson Research Center", "Andreas Mayr": "LIT AI Lab / University Linz", "Jialin Mao": "New York University", "Yujia Li": "DeepMind", "S. Das": "IIT Madras", "Demjan Grubic": "ETH Zurich / Google", "Jason Eisner": "Johns Hopkins University", "Scott Reed": "Google DeepMind", "David Hsu": "National University of Singapore", "Fan Yang": "Carnegie Mellon University", "Wei-Cheng Chang": "Carnegie Mellon University", "Satoshi Ikehata": "National Institute of Informatics", "Ziming Zhang": "MERL", "Alex Ray": "OpenAI", "David Barrett": "DeepMind", "Faruk Ahmed": "MILA", "Addison Hu": "Yale University", "Devavrat Shah": "Massachusetts Institute of Technology", "Eric Maris": "Donders Institute", "Tavian Barnes": "Microsoft", "Eleanor Batty": "Columbia University", "Seyed Iranmanesh": "West Virginia University", "Yulun Du": "Carnegie Mellon University", "Yonatan Belinkov": "MIT", "Rudy Bunel": "Oxford University", "Jianfeng Wang": "Beijing University of Posts and Telecommunications", "Aaron van den Oord": "Google Deepmind", "Zhengyou Zhang": "Microsoft Research", "Mr. Prabhat": "LBL/NERSC", "Tianyu Gu": "NYU", "Dmytro Mishkin": "Czech Technical University in Prague", "Radu Soricut": "Google", "Davis Foote": "Google Brain", "Dan Alistarh": "IST Austria & ETH Zurich", "Milan Vojnovic": "London School of Economics and Political Science (LSE)", "Ke Tang": "Southern University of Science and Technology, China", "Zhanxing Zhu": "Peking University / Beijing Institute of Big Data Research", "Scott M Lundberg": "University of Washington", "Antoine Bordes": "Facebook AI Research", "Wojciech Czarnecki": "DeepMind", "Mitra JZ Hartmann": "Northwestern University", "Claudio Gentile": "INRIA", "Ming-ting Sun": "University of Washington", "Hanul Shin": "Massachusetts Institute of Technology", "David Raposo": "DeepMind", "David Eriksson": "Cornell University", "Shimon Whiteson": "Oxford University", "Shuheng Zhou": "University of Michigan", "Andrew Wilson": "Cornell University", "Futoshi Futami": "University of Tokyo/RIKEN", "Lawrence Carin": "Duke University", "Georgios Exarchakis": "\u00c9cole Normale Sup\u00e9rieure", "Matteo Papini": "Politecnico di Milano", "Deepak Pathak": "UC Berkeley", "Michael Bronstein": "USI Lugano / Tel Aviv University / Intel", "Sercan Arik": "Baidu Research", "Neil Gallagher": "Duke University", "OpenAI Pieter Abbeel": "OpenAI, UC Berkeley", "Klaus Greff": "IDSIA", "Lars Mescheder": "Max-Planck Institute Tuebingen", "Adithya M Devraj": "University of Florida", "Matthias Hein": "Saarland University", "Bradly Stadie": "OpenAI", "Cong Xu": "Hewlett Packard Labs", "Peter Welinder": "OpenAI", "Sergey Ioffe": "Google", "Hao He": "MIT", "Ingmar Posner": "Oxford University", "Xavier Bresson": "NTU", "Jie Zhou": "Tsinghua University", "Manzil Zaheer": "Carnegie Mellon University", "Julien Audiffren": "Exascale Infolab, Fribourg University", "Moustapha Cisse": "Facebook AI Research", "Fran\u00e7ois-Xavier Briol": "University of Warwick", "Zhuoran Yang": "Princeton University", "Michael Eickenberg": "UC Berkeley", "Jia Deng": "University of Michigan", "Leonard Lausen": "HKUST", "Anca Dragan": "UC Berkeley", "Dmitry Vetrov": "Higher School of Economics, Yandex", "Jiwon Kim": "SK T-Brain", "Tomi Poutanen": "", "Urs K\u00f6ster": "Intel Corporation", "Georges A Goetz": "Stanford University", "Wei Li": "University of York", "Liam Paninski": "Columbia University", "Jonas Kubilius": "Massachusetts Institute of Technology", "Carl Jidling": "Uppsala University", "Tatiana Tommasi": "University of Rome La Sapienza", "Elad Hoffer": "Technion", "Li Yi": "Stanford University", "Natalia Neverova": "Facebook AI Research", "Wei Ping": "Baidu Research", "Fei Xia": "Stanford University", "Daniel Yamins": "Stanford University", "Alex Schwing": "University of Illinois at Urbana-Champaign", "Ching-An Cheng": "Georgia Tech", "Andrew Loeb": "Cornell University", "Karol Hausman": "University of Southern California", "Edouard Grave": "Facebook AI Research", "Mauricio \u00c1lvarez": "University of Sheffield", "Austin Talbot": "Duke University", "Randy Jia": "Columbia University", "Sahand Negahban": "Yale University", "Ingmar Kanitscheider": "UT Austin", "Illia Polosukhin": "", "Yuxin Wu": "Facebook AI Research", "Piotr Dabkowski": "Cambridge University", "Tong Zhang": "The Australian National University", "Lukas Cavigelli": "ETH Zurich", "Tony Han": "University of Missouri", "Huziel Enoc Sauceda Felix": "Fritz-Haber-Institut der Max-Planck-Gesellschaft", "Satinder Singh": "University of Michigan", "Yandan Wang": "University of Pittsburgh", "Aurko Roy": "Google", "Theophane Weber": "DeepMind", "Bart Goossens": "Ghent University", "Razvan Pascanu": "Google DeepMind", "Pushmeet Kohli": "DeepMind", "Aviv Tamar": "UC Berkeley", "Michael U. Gutmann": "University of Edinburgh", "Charles Sutton": "University of Edinburgh", "Angela Schoellig": "", "Aasa Feragen": "University of Copenhagen", "Aditya Balu": "Iowa State University", "Marcel Nassar": "Intel Corporation", "Marco Fraccaro": "Technical University of Denmark (DTU)", "Jimei Yang": "Adobe Research", "Yizhong Ru": "Tsinghua University", "Philip S. Thomas": "CMU", "Ricardo Silva": "University College London", "Ilya Sutskever": "", "Yannis Assael": "DeepMind", "Yuhuai Wu": "University of Toronto", "Guangyu Zhong": "Dalian University of Technology", "Edward Vul": "UCSD", "Bernhard Sch\u00f6lkopf": "MPI for Intelligent Systems", "Armand Joulin": "Facebook AI research", "Steven Niederer": "Kings College London", "Ila Fiete": "", "Andre Barreto": "DeepMind", "Bill Freeman": "MIT/Google", "Moji Sahraee-Ardakan": "UCLA", "Danijar Hafner": "University College London", "Jin Hyung Lee": "Columbia University", "Jianfei Chen": "Tsinghua University", "Demis Hassabis": "DeepMind", "Sinno Pan": "NTU", "Meiguang Jin": "University of Bern", "JD Co-Reyes": "UC Berkeley", "Qucheng Gong": "Facebook AI Research", "Krzysztof Onak": "IBM T.J. Watson Research Center", "Carl-Johann SIMON-GABRIEL": "Max Planck Institute for Intelligent Systems", "Daxue Liu": "National University of Defense Technology", "G\u00fcnter Klambauer": "LIT AI Lab / University Linz", "Weiyang Liu": "Georgia Tech", "Marc Niethammer": "UNC Chapel Hill", "Daniel J Mankowitz": "Technion", "Hubert Ramsauer": "LIT AI Lab / University Linz", "Balaji Lakshminarayanan": "Google Deepmind", "Chongxuan LI": "Tsinghua University", "Wen Sun": "Carnegie Mellon University", "Gustavo Carneiro": "The University of Adelaide", "Finale Doshi-Velez": "Harvard", "William Constable": "Intel", "Veronika Rockova": "University of Chicago", "Ole Winther": "Technical University of Denmark", "Tianfan Xue": "MIT CSAIL", "Dinh Phung": "Deakin University", "Stephen Keeley": "Princeton University", "Elman Mansimov": "New York University", "David Reichert": "DeepMind", "Yifan Wang": "ShanghaiTech University", "Zhecan Wang": "Franklin. W. Olin College of Engineering", "Arjun K Bansal": "Intel Nervana", "Espen Hagen": "", "Arthur Gretton": "Gatsby Unit, UCL", "Audrunas Gruslys": "Google DeepMind", "Zhilin Yang": "Carnegie Mellon University", "Hao Su": "Stanford", "Jonathan Raiman": "Baidu Research", "Thomas Hofmann": "ETH Zurich", "Wonyong Sung": "Seoul National University", "Mathieu Salzmann": "EPFL", "Eran Malach": "Hebrew University Jerusalem Israel", "Ryan Williamson": "Carnegie Mellon University", "Satwik Kottur": "Carnegie Mellon University", "Alessandro Lazaric": "INRIA Lille-Nord Europe", "Mehrdad Farajtabar": "Georgia Tech", "Llion Jones": "Google", "Tom Unterthiner": "LIT AI Lab / University Linz", "Florian Meier": "ETH Zurich", "Martin Heusel": "LIT AI Lab / University Linz", "Katerina Clemens": "University of Pittsburgh", "Yossi Keshet": "Bar-Ilan University", "Ofir Nachum": "Google", "Rex Ying": "Stanford University", "Hannes Nickisch": "Philips Research", "Lihua Lei": "UC Berkeley", "Joseph Suarez": "Stanford University", "Asa Ben-Hur": "Colorado State University", "Brendan J Frey": "Deep Genomics, Vector Institute, Univ. Toronto", "samantha Major": "", "Martin J Zhang": "Stanford University", "Nando de Freitas": "University of Oxford", "Adrian Wills": "University of Newcastle, Australia", "Yunbo Wang": "Tsinghua University", "Zheng Tian": "UCL", "Chris Pal": "Montr\u00e9al Institute for Learning Algorithms", "Muhammad Yousefnezhad": "Nanjing University of Aeronautics and Astronautics", "Lubor Ladicky": "ETH Zurich", "Nick Rhinehart": "Carnegie Mellon University", "Pratik Worah": "Google", "Kareem Amin": "Google Research", "Kun Dong": "Cornell University", "Xiaodong Cui": "IBM T. J. Watson Research Center", "Mo Yu": "Johns Hopkins University", "Tao Lei": "MIT", "Jaehong Kim": "T-Brain", "Alessandra Sutti": "Deakin University", "Kuan-Chieh Wang": "University of Toronto", "Niklas Wahlstr\u00f6m": "Uppsala University", "Sang-Woo Lee": "Seoul National University", "Kristjan Greenewald": "University of Michigan", "Angela Lee": "King's College London", "Harm de Vries": "Universit\u00e9 de Montr\u00e9al", "Nikos Parotsidis": "University of Rome Tor Vergata", "Greg Wayne": "Google DeepMind", "Yingce Xia": "University of Science and Technology of China", "Stephane Mallat": "Ecole normale superieure", "Gabor Lugosi": "Pompeu Fabra University", "Rob van Lier": "Donders Institute for Brain, Cognition and Behaviour, Radboud University", "David Barber": "University College London", "Tu Nguyen": "Deakin University", "Ashutosh Nayyar": "University of Southern California", "Mengye Ren": "University of Toronto", "Stefanos Eleftheriadis": "PROWLER.io", "Yonatan Geifman": "Technion", "Yu Zhang": "Google Brain", "Will Dabney": "DeepMind", "Alexandre Maurer": "EPFL", "Olivier Pietquin": "DeepMind", "Xingguo Li": "University of Minnesota", "Regina Barzilay": "Massachusetts Institute of Technology", "Francis Dutil": "MILA", "Jeremie Mary": "INRIA / Univ. Lille", "Kevin Roth": "ETH", "Bo Xie": "Georgia Tech", "Remi Munos": "DeepMind", "Michael Jordan": "UC Berkeley", "Lior Wolf": "Facebook AI Research", "Harm Van Seijen": "Microsoft Research", "Hao Liu": "Nanjing University", "Lizhen Lin": "The University of Texas at Austin", "Sifei Liu": "Nvidia", "Ryan Tibshirani": "Carnegie Mellon University", "Samuel Kaski": "Aalto University", "Daniel Guo": "Carnegie Mellon University/Stanford", "Yitong Li": "Duke University", "Joshua Romoff": "McGill University", "Federico Monti": "Universit\u00e0 della Svizzera italiana", "Antti Rasmus": "", "David Silver": "DeepMind", "Kamalika Chaudhuri": "UCSD", "Svetha Venkatesh": "Deakin University", "Carlton Downey": "Carnegie Mellon University", "Peter Karkus": "NUS", "Vaishnavh Nagarajan": "Carnegie Mellon University", "Chun-Liang Li": "Carnegie Mellon University", "Alexander Irpan": "Google", "Nicol\u00f2 Colombo": "University College London", "Xin Wang": "Intel Corporation", "Dario Amodei": "OpenAI", "Ruby J Pai": "Intel Corporation", "Mohammad Reza Loghmani": "TU Wien", "Markus Heinonen": "Aalto University", "Serhii Havrylov": "University of Edinburgh", "Kirill Neklyudov": "Yandex", "Max Welling": "University of Amsterdam and University of California Irvine and CIFAR", "Benjamin Van Roy": "Stanford University", "Justin Gilmer": "Google Brain", "Pieter Abbeel": "OpenAI / UC Berkeley / Gradescope", "Christoph Hofer": "University of Salzburg", "Alex Bewley": "University of Oxford", "Yaron Singer": "Harvard University", "Graham Neubig": "Carnegie Mellon University", "Sebastian Riedel": "University College London", "Prashant Mehta": "University of Illinois", "Wittawat Jitkrittum": "Gatsby unit, University College London", "OpenAI Jonathan Ho": "OpenAI, UC Berkeley", "David Rubin": "", "Phillip A Jang": "Cornell University", "Matthieu Geist": "Universit\u00e9 de Lorraine", "Brendan Shillingford": "University of Oxford", "Jason Yosinski": "Uber", "Elena Grigorescu": "Purdue University", "Kevin Lin": "University of Washington", "Arindam Banerjee": "University of Minnesota", "Ruslan Salakhutdinov": "", "Ali Mousavi": "Rice University", "Hong Namkoong": "Stanford University", "Josh Merel": "DeepMind", "Byron Boots": "Georgia Tech / Google Brain", "Di Kang": "City University of Hong Kong", "J\u00f6rg Bornschein": "DeepMind", "Aaditya Ramdas": "University of California, Berkeley", "David Lopez-Paz": "Facebook AI Research", "Tao Qin": "Microsoft Research", "Wing Hung Wong": "Stanford university", "Sagie Benaim": "Tel Aviv University", "Hado van Hasselt": "DeepMind", "Lin Xiong": "Panasonic R&D Center Singapore", "Huan Xu": "Georgia Inst. of Technology", "Gabriel Parra": "Universidad de Chile", "Mark Girolami": "Imperial College London", "Nisheeth Srivastava": "IIT Kanpur", "Jared Dunnmon": "Stanford University", "Bistra Dilkina": "Georgia Institute of Technology", "Florian Strub": "University of Lille", "Rafal Mantiuk": "University of Cambridge", "Nikolay Savinov": "ETH Zurich", "Wenkai Xu": "Gatsby Unit, UCL", "Trung Pham": "The University of Adelaide", "Pratibha Vellanki": "Deakin University", "Zeshan Hussain": "Stanford University", "Ziyu Wang": "Deepmind", "Felipe Tobar": "Universidad de Chile", "Bernhard Nessler": "Johannes Kepler University Linz", "Zhifeng Gao": "Tsinghua University", "Tianxiao Shen": "MIT", "Chris R\u00e9": "Stanford", "Neil Lawrence": "Amazon.com", "Sjoerd van Steenkiste": "The Swiss AI Lab - IDSIA", "Matteo Turchetta": "ETH Zurich", "Stefan Magureanu": "KTH", "Yunzhu Li": "MIT", "David Duvenaud": "University of Toronto", "Danilo Jimenez Rezende": "Google DeepMind", "J. Bagnell": "Carnegie Mellon University", "Jin W Kim": "University of Illinois", "Mingsheng Long": "Tsinghua University", "Seyoung Park": "Yale University", "Sam Schoenholz": "Google Brain", "Zhijie Deng": "Tsinghua University", "Seungil You": "Google", "Xiaolin Hu": "Tsinghua University", "Jianbo Chen": "University of California, Berkeley", "Chinmay Hegde": "Iowa State University", "Hongyuan Mei": "JOHNS HOPKINS UNIVERSITY", "Gaute T. Einevoll": "Norwegian University of Life Sciences", "Kevin Canini": "Google", "Jinseok Nam": "TU Darmstadt", "Liva Ralaivola": "LIF, IUF, Aix-Marseille University, CNRS", "Suchi Saria": "Johns Hopkins University", "Stuart J Russell": "UC Berkeley", "Jianshu Li": "National University of Singapore", "Michael Witbrock": "IBM Research, USA", "Shuicheng Yan": "Qihoo 360 AI Institute", "Jia-Bin Huang": "Virginia Tech", "Ilya Tolstikhin": "MPI for Intelligent Systems", "Siddharth Garg": "NYU", "Jes Frellsen": "IT University of Copenhagen", "Alexei Efros": "UC Berkeley", "Isabeau Pr\u00e9mont-Schwarz": "The Curious Ai Company", "Bo Xin": "Microsoft Research", "Tinne Tuytelaars": "KU Leuven", "Wei Chen": "Microsoft Research", "Panasonic Karlekar Jayashree": "Panasonic, Singapore", "Katja Seeliger": "Donders Institute for Brain, Cognition and Behaviour", "\u0141ukasz Kaiser": "Google Brain", "Asier Mujika": "ETH Z\u00fcrich", "Hugh Salimbeni": "Imperial College London", "Thomas Breuel": "", "Junhyuk Oh": "University of Michigan", "Yan-Ming Zhang": "Institute of Automation, Chinese Academy of Sciences", "Jonathan Peck": "Ghent University", "Princeton Zhaoran Wang": "Princeton, Phd student", "Jonathan W Pillow": "Princeton University", "Pan Ji": "University of Adelaide", "Evan Racah": "University of Montreal", "Manmohan Chandraker": "University of California, San Diego", "Haoran Tang": "UC Berkeley", "Felix Berkenkamp": "ETH Zurich", "Xin Dong": "Nanyang Technological Univ", "Alireza Aghasi": "Institute for Insight", "Jimmy Ba": "University of Toronto / Vector Institute", "Erinc Merdivan": "Austrian Institute of Technology GmbH", "James Kirkpatrick": "Google DeepMind", "Wongun Choi": "NEC Laboratories", "Stefan Chmiela": "Technische Universit\u00e4t Berlin", "Shaobo Han": "Duke University", "Trung Le": "Deakin University", "Boyue Li": "Carnegie Mellon University", "Ian Reid": "University of Adelaide", "Will Hamilton": "Stanford University", "Soumendu Sundar Mukherjee": "University of California, Berkeley", "Yossi Adi": "Bar Ilan University", "J\u00fcrgen Schmidhuber": "Swiss AI Lab, IDSIA (USI & SUPSI) - NNAISENSE", "Iksoo Choi": "Seoul National University", "Prasanna Sattigeri": "IBM Research", "Thomas Huang": "UIUC", "Wei Tan": "IBM T. J. Watson Research Center", "Lijun Wu": "Sun Yat-sen University", "Mohammad Norouzi": "", "Jakob Uszkoreit": "Google, Inc.", "David Carlson": "Duke University", "Qizhe Xie": "Carnegie Mellon University", "Abhishek Kumar": "IBM Research AI", "Shun Liao": "University of Toronto", "Cong Zhao": "DJI", "Hangen He": "National University of Defense Technology", "Radu Timofte": "ETH Zurich", "Miljan Martic": "DeepMind", "Tommi Jaakkola": "MIT", "Richard Zhang": "University of California, Berkeley", "David Tse": "Stanford University", "Philip S Yu": "UIC", "Jeffrey Tsang": "", "Byoung-Tak Zhang": "Seoul National University & Surromind Robotics", "James Sharpnack": "UC Davis", "Yoshua Bengio": "U. Montreal", "James Zou": "Stanford", "Ludwig Schmidt": "MIT", "chichilnisky Chichilnisky": "Stanford University", "Mukul Gagrani": "University of Southern California", "geraldine Dawson": "Duke University", "Filip DeTurck": "", "John Wilmes": "Georgia Institute of Technology", "Johannes Ball\u00e9": "Google Inc.", "Han Liu": "Tencent AI Lab", "Xingjian Shi": "HKUST", "Changyou Chen": "University at Buffalo", "Joseph Paul Cohen": "Montreal Institute for Learning Algorithms", "Sean Welleck": "NYU", "Filip Radenovic": "Visual Recognition Group, CTU in Prague", "Thomas Rutten": "Columbia University", "Roger Grosse": "University of Toronto", "Ming-Hsuan Yang": "UC Merced", "Amir Taghvaei": "University of Illinois at Urbana-Champaign", "Yaoqing Yang": "Carnegie Mellon University", "Oriol Vinyals": "Google DeepMind", "Chen-Yu Wei": "Academia Sinica", "George Danezis": "University College London", "Nicole Immorlica": "Microsoft Research", "Mingzhe Wang": "University of Michigan", "Hotloo Hao": "The Curious AI Company", "Marcel Van Gerven": "Radboud University", "Xiaojie Jin": "National University of Singapore Snap Research", "Zhen He": "University College London", "Yaroslav Ganin": "Universit\u00e9 de Montr\u00e9al", "Sylvain Gelly": "Google Brain", "Harri Valpola": "The Curious AI Company", "Alberto Maria Metelli": "Politecnico di Milano", "Kyle Ulrich": "", "Shangyu Chen": "Nanyang Technological University, Singapore", "Tegan Maharaj": "MILA, Polytechnic Montreal", "Yevgen Chebotar": "University of Southern California", "Joao V Messias": "Morpheus Labs", "Helen Li": "Duke University", "Jacob Devlin": "Microsoft Research", "Mohammad Haris Baig": "Dartmouth College", "David Wipf": "Microsoft Research", "Zheng Zhang": "Shanghai New York Univeristy", "John Miller": "Baidu Research", "Xiaodong He": "Microsoft Research, Redmond, WA", "Zhuowen Tu": "University of California, San Diego", "Shipra Agrawal": "Columbia University", "Ilija Ilievski": "National University of Singapore", "Qinshi Wang": "Princeton University", "Smitha Milli": "UC Berkeley", "Yu Cheng": "AI Foundations, IBM Research", "Hiroki Arimura": "Hokkaido University", "Iku Ohama": "Panasonic Corporation", "Lizhen Qu": "Data61", "Wei-Sheng Lai": "University of California, Merced", "Anton Mallasto": "University of Copenhagen", "Arsenii Ashukha": "", "Karl Tuyls": "DeepMind", "Kyunghyun Cho": "NYU", "Chuang Wang": "Harvard University", "Justin Fu": "UC Berkeley", "Caglar Gulcehre": "Deepmind", "Alexander Berardino": "New York University", "Jian Zhao": "National University of Singapore", "Benjamin Cowley": "Carnegie Mellon University", "Matthias Poloczek": "Cornell University", "Jianmin Wang": "Tsinghua University", "Martin Arjovsky": "New York University", "Kristof Sch\u00fctt": "TU Berlin", "Zhe Gan": "Duke University", "Simon Osindero": "DeepMind", "Thomas Dorin": "Deakin University", "Thang D Bui": "University of Cambridge", "Soong Moon Kang": "University College London", "michael Murias": "Duke University", "Nenghai Yu": "University of Science and Technology of China", "Hongdong Li": "Australian National University", "Sotetsu Iwamura": "NTT Software Innovation center", "Kyle Cranmer": "New York University", "rfong Fong": "OpenAI", "Gaurav Sukhatme": "USC", "Jun-Yan Zhu": "UC Berkeley", "Allie Fletcher": "UCLA", "Nir Levine": "Technion - Israel Institute of Technology", "Yuting Liu": "Beijing Jiaotong University", "Afshin Abdi": "Georgia Institute of Technology", "Mahdi Soltanolkotabi": "University of Southern california", "Wai-kin Wong": "HKO", "Zhongwen Xu": "DeepMind", "Adam Trischler": "Microsoft", "Alexander Giessing": "University of Michigan", "Luc V Gool": "Computer Vision Lab, ETH Zurich", "Minjae Lee": "Seoul National University", "Tom Zahavy": "The Technion", "Nicholas Roy": "Princeton Neuroscience Institute", "Pan Li": "University of Illinois Urbana-Champaign", "Yvan Saeys": "Ghent University", "Weichi Yao": "Columbia University", "Charles Ruizhongtai Qi": "Stanford University", "Robert S Chen": "Harvard University", "Xiaofan Lin": "DJI", "Phil Schniter": "Ohio State University", "Ivan Titov": "University of Edinburgh / University of Amsterdam", "Maya Gupta": "Google", "Lars Buesing": "DeepMind", "Yoonho Boo": "Seoul National University", "Alexander Ilin": "The Curious AI company", "Dangna Li": "Stanford University", "Dit-Yan Yeung": "HKUST, Hong Kong", "Daniel Zoran": "DeepMind", "Santosh Vempala": "Georgia Tech", "Huaxin Xiao": "NUDT", "Mohammad Ghavamzadeh": "DeepMind", "Leonidas J Guibas": "stanford.edu", "Yunpeng Chen": "National University of Singapore", "devon Hjelm": "MILA", "Ge Yang": "Harvard University", "Gergely Neu": "Universitat Pompeu Fabra", "Yan Duan": "", "Luc Van Gool": "KU Leuven", "Andreas Uhl": "University of Salzburg", "Eduard Hovy": "CMU", "Christian Borgs": "Microsoft Research New England", "Liangpeng Zhang": "University of Birmingham", "Wengong Jin": "MIT CSAIL", "John Duchi": "Stanford", "Wee Sun Lee": "National University of Singapore", "Carl Edward Rasmussen": "University of Cambridge", "Jeffrey Pennington": "Google Brain", "Debarun Dhar": "City University of Hong Kong", "Alex Kendall": "University of Cambridge", "Hao Zhang": "Carnegie Mellon University", "Matthew Davidow": "Cornell University", "Yuandong Tian": "Facebook AI Research", "Jeremiah Liu": "Harvard University", "Takuya Kida": "Hokkaido University", "Yuliang Zou": "Virginia Tech", "David Bindel": "Cornell University", "Aravind Rajeswaran": "University of Washington", "Chris Oates": "Newcastle University", "Daoqiang Zhang": "Nanjing University of Aeronautics and Astronautics", "Vincent Dumoulin": "Universit\u00e9 de Montr\u00e9al", "Elias Khalil": "Georgia Tech", "Linxi Liu": "Columbia University", "Jung Kwon Lee": "SK T-Brain", "Roderich Gross": "The University of Sheffield", "Sundeep Rangan": "NYU-Poly", "Joseph J Lim": "University of Southern California", "Shaobing Gao": "Sichuan University", "Barnabas Poczos": "Carnegie Mellon University", "Jian Wu": "AQR Capital Management", "Shiyu Chang": "IBM T.J. Watson Research Center", "Luna Yang": "Carnegie Mellon University", "Kendall Lowrey": "University of Washington", "Tom Fletcher": "University of Utah", "Xingyuan Sun": "Shanghai Jiao Tong University", "Thomas Sch\u00f6n": "Uppsala University", "Tom Schaul": "DeepMind", "Arthur Guez": "Google", "Josh Tenenbaum": "MIT", "Tom Brown": "Google Brain", "Sam Daulton": "Harvard University", "Yi Ding": "University of Chicago", "Alexandre Tkatchenko": "University of Luxembourg", "Jinwei Gu": "NVIDIA Research", "Melvin Gauci": "Harvard University", "Bohyung Han": "POSTECH", "Martial Hebert": "cmu", "Chunpeng Wu": "Duke University", "Shixiang (Shane) Gu": "University of Cambridge and Max Planck Institute for Intelligent Systems ", "Guobin Chen": "University of Missouri", "Fabian Mentzer": "ETH Zurich", "Zahra Ghodsi": "New York University", "Umut G\u00fc\u00e7l\u00fc": "Donders Institute", "Erik Learned-Miller": "UMass Amherst", "Alexandre Proutiere": "KTH", "Chris Russell": "The Alan Turing Institute/ The University of Surrey", "Arash Vahdat": "D-Wave Systems Inc.", "Joris M Mooij": "University of Amsterdam", "Fei Tian": "Miicrosoft Research", "Richard Zemel": "University of Toronto", "Emma Brunskill": "Stanford University", "Jan Kautz": "NVIDIA", "Ryota Tomioka": "Microsoft Research Cambridge", "Tor Lattimore": "DeepMind", "Kyuhong Shim": "Seoul National University", "Laroche Laroche": "Microsoft Research Maluuba", "Alan Luo": "Stanford University", "Joseph Modayil": "Deepmind", "Antoni Chan": "City University of Hong Kong", "Remi Lam": "MIT"}]