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[{"Sparse DNNs with Improved Adversarial Robustness": ["Yiwen Guo", "Chao Zhang", "Changshui Zhang", "Yurong Chen"], "Knowledge Distillation by On-the-Fly Native Ensemble": ["xu lan", "Xiatian Zhu", "Shaogang Gong"], "Q-learning with Nearest Neighbors": ["Devavrat Shah", "Qiaomin Xie"], "Sparse Covariance Modeling in High Dimensions with Gaussian Processes": ["Rui Li", "Kishan KC", "Feng Cui", "Justin Domke", "Anne Haake"], "On the Local Minima of the Empirical Risk": ["Chi Jin", "Lydia T. Liu", "Rong Ge", "Michael Jordan"], "Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach": ["Michael Gimelfarb", "Scott Sanner", "Chi-Guhn Lee"], "Learning filter widths of spectral decompositions with wavelets": ["Haidar Khan", "Bulent Yener"], "Poison Frogs! Targeted Clean-Label PoisoningAttacks on Neural Networks": ["Ali Shafahi", "W. Ronny Huang", "Mahyar Najibi", "Octavian Suciu", "Christoph Studer", "Tudor Dumitras", "Tom Goldstein"], "Loss Functions for Multiset Prediction": ["Sean Welleck", "Zixin Yao", "Yu Gai", "Jialin Mao", "Zheng Zhang", "Kyunghyun Cho"], "Variational Learning on Aggregate Outputs with Gaussian Processes": ["Ho Chung Law", "Dino Sejdinovic", "Ewan Cameron", "Tim Lucas", "Seth Flaxman", "Katherine Battle", "Kenji Fukumizu"], "On Learning Markov Chains": ["Yi HAO", "Alon Orlitsky", "Venkatadheeraj Pichapati"], "Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise": ["Dan Hendrycks", "Mantas Mazeika", "Duncan Wilson", "Kevin Gimpel"], "Provable Variational Inference for Constrained Log-Submodular Models": ["Josip Djolonga", "Stefanie Jegelka", "Andreas Krause"], "Playing hard exploration games by watching YouTube": ["Yusuf Aytar", "Tobias Pfaff", "David Budden", "Thomas Paine", "Ziyu Wang", "Nando de Freitas"], "Sanity Checks for Saliency Maps": ["Julius Adebayo", "Justin Gilmer", "Michael Muelly", "Ian Goodfellow", "Moritz Hardt", "Been Kim"], "Deep Learning for Supercomputers: Distributed Tensor Layouts Define Distributed Computation": ["Noam Shazeer", "Youlong Cheng", "Niki Parmar", "Dustin Tran", "Ashish Vaswani", "Penporn Koanantakool", "Peter Hawkins", "HyoukJoong Lee", "Mingsheng Hong", "Cliff Young", "Ryan Sepassi", "Blake Hechtman"], "Supervised autoencoders: Improving generalization performance with unsupervised regularizers": ["Lei Le", "Andrew Patterson", "Martha White"], "A Bayesian Nonparametric View on Count-Min Sketch": ["Diana Cai", "Michael Mitzenmacher", "Ryan Adams"], "Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks": ["Qilong Wang", "Zilin Gao", "Jiangtao Xie", "Wangmeng Zuo", "Peihua Li"], "Neural Proximal Gradient Descent for Compressive Imaging": ["Morteza Mardani", "Qingyun Sun", "David Donoho", "Vardan Papyan", "Hatef Monajemi", "Shreyas Vasanawala", "John Pauly"], "Is Q-Learning Provably Efficient?": ["Chi Jin", "Zeyuan Allen-Zhu", "Sebastien Bubeck", "Michael Jordan"], "Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks": ["Xiaodong Cui", "Wei Zhang", "Zolt\u00e1n T\u00fcske", "Michael Picheny"], "Training deep learning based denoisers without ground truth data": ["Shakarim Soltanayev", "Se Young Chun"], "Distributed Multitask Reinforcement Learning with Quadratic Convergence": ["Rasul Tutunov", "Dongho Kim", "Haitham Bou Ammar"], "Clebsch\u2013Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network": ["Risi Kondor", "Zhen Lin", "Shubhendu Trivedi"], "Computationally and Statistically Efficient Learning of Bayes Nets Using Path Queries": ["Kevin Bello", "Jean Honorio"], "Verifiable Reinforcement Learning via Policy Extraction": ["Osbert Bastani", "Yewen Pu", "Armando Solar-Lezama"], "BRUNO: A Deep Recurrent Model for Exchangeable Data": ["Iryna Korshunova", "Jonas Degrave", "Ferenc Huszar", "Yarin Gal", "Arthur Gretton", "Joni Dambre"], "Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives": ["Amit Dhurandhar", "Pin-Yu Chen", "Ronny Luss", "Chun-Chen Tu", "Paishun Ting", "Karthikeyan Shanmugam", "Payel Das"], "Maximum-Entropy Fine Grained Classification": ["Abhimanyu Dubey", "Otkrist Gupta", "Ramesh Raskar", "Nikhil Naik"], "Neural Tangent Kernel: Convergence and Generalization in Neural Networks": ["Arthur Jacot-Guillarmod", "Clement Hongler", "Franck Gabriel"], "Exponentially Weighted Imitation Learning for Batched Historical Data": ["Qing Wang", "Jiechao Xiong", "Lei Han", "peng sun", "Han Liu", "Tong Zhang"], "End-to-End Differentiable Physics for Learning and Control": ["Filipe de Avila Belbute-Peres", "Kevin Smith", "Kelsey Allen", "Josh Tenenbaum", "J. Zico Kolter"], "Backpropagation with Callbacks: Towards Efficient and Expressive Differentiable Programming": ["Fei Wang", "James Decker", "Xilun Wu", "Gregory Essertel", "Tiark Rompf"], "Deep State Space Models for Time Series Forecasting": ["Syama Sundar Rangapuram", "Matthias W Seeger", "Jan Gasthaus", "Lorenzo Stella", "Yuyang Wang", "Tim Januschowski"], "Visual Object Networks: Image Generation with Disentangled 3D Representations": ["Jun-Yan Zhu", "Zhoutong Zhang", "Chengkai Zhang", "Jiajun Wu", "Antonio Torralba", "Josh Tenenbaum", "Bill Freeman"], "A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation": ["Alexander H. Liu", "Yen-Cheng Liu", "Yu-Ying Yeh", "Yu-Chiang Frank Wang"], "Learning Plannable Representations with Causal InfoGAN": ["Thanard Kurutach", "Aviv Tamar", "Ge Yang", "Stuart Russell", "Pieter Abbeel"], "End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems": ["Linfeng Zhang", "Jiequn Han", "Han Wang", "Wissam Saidi", "Roberto Car", "Weinan E"], "Semi-crowdsourced Clustering with Deep Generative Models": ["Yucen Luo", "TIAN TIAN", "Jiaxin Shi", "Jun Zhu", "Bo Zhang"], "Constrained Cross-Entropy Method for Safe Reinforcement Learning": ["Min Wen", "Ufuk Topcu"], "DAGs with NO TEARS: Continuous Optimization for Structure Learning": ["Xun Zheng", "Bryon Aragam", "Pradeep Ravikumar", "Eric Xing"], "Non-Local Recurrent Network for Image Restoration": ["Ding Liu", "Bihan Wen", "Yuchen Fan", "Chen Change Loy", "Thomas Huang"], "Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding": ["Kexin Yi", "Jiajun Wu", "Chuang Gan", "Antonio Torralba", "Pushmeet Kohli", "Josh Tenenbaum"], "A^2-Nets: Double Attention Networks": ["Yunpeng Chen", "Yannis Kalantidis", "Jianshu Li", "Shuicheng Yan", "Jiashi Feng"], "On Oracle-Efficient PAC RL with Rich Observations": ["Christoph Dann", "Nan Jiang", "Akshay Krishnamurthy", "Alekh Agarwal", "John Langford", "Robert Schapire"], "Frequency-Domain Dynamic Pruning for Convolutional Neural Networks": ["Zhenhua Liu", "Jizheng Xu", "Xiulian Peng", "Ruiqin Xiong"], "Modular Networks: Learning to Decompose Neural Computation": ["Louis Kirsch", "Julius Kunze", "David Barber"], "Bayesian Distributed Stochastic Gradient Descent": ["Michael Teng", "Frank Wood"], "Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models": ["Amir Dezfouli", "Richard Morris", "Fabio Ramos", "Peter Dayan", "Bernard Balleine"], "BRITS: Bidirectional Recurrent Imputation for Time Series": ["Wei Cao", "Dong Wang", "Jian Li", "Hao Zhou", "Lei Li", "Yitan Li"], "Multi-Layered Gradient Boosting Decision Trees": ["Ji Feng", "Yang Yu", "Zhi-Hua Zhou"], "A Convex Duality Framework for GANs": ["Farzan Farnia", "David Tse"], "Learning semantic similarity in a continuous space": ["Michel Deudon"], "Regularizing by the Variance of the Activations' Sample-Variances": ["Etai Littwin", "Lior Wolf"], "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks": ["Kimin Lee", "Kibok Lee", "Honglak Lee", "Jinwoo Shin"], "Bandit Learning with Implicit Feedback": ["Yi Qi", "Qingyun Wu", "Hongning Wang", "Jie Tang", "Maosong Sun"], "Discretely Relaxing Continuous Variables for tractable Variational Inference": ["Trefor Evans", "Prasanth Nair"], "Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation": ["Shivapratap Gopakumar", "Sunil Gupta", "Santu Rana", "Vu Nguyen", "Svetha Venkatesh"], "Learning to Play With Intrinsically-Motivated, Self-Aware Agents": ["Nick Haber", "Damian Mrowca", "Stephanie Wang", "Li Fei-Fei", "Daniel Yamins"], "Temporal alignment and latent Gaussian process factor inference in population spike trains": ["Lea Duncker", "Maneesh Sahani"], "Scalar Posterior Sampling with Applications ": ["Georgios Theocharous", "Zheng Wen", "Yasin Abbasi", "Nikos Vlassis"], "Context-aware Synthesis and Placement of Object Instances": ["Donghoon Lee", "Ming-Yu Liu", "Ming-Hsuan Yang", "Sifei Liu", "Jinwei Gu", "Jan Kautz"], "Learning safe policies with expert guidance": ["Jessie Huang", "Fa Wu", "Doina Precup", "Yang Cai"], "Algorithmic Linearly Constrained Gaussian Processes": ["Markus Lange-Hegermann"], "Bayesian Structure Learning by Recursive Bootstrap": ["Raanan Y. Rohekar", "Yaniv Gurwicz", "Shami Nisimov", "Guy Koren", "Gal Novik"], "Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data": ["Ehsan Hajiramezanali", "Siamak Zamani Dadaneh", "Alireza Karbalayghareh", "Mingyuan Zhou", "Xiaoning Qian"], "Bayesian Nonparametric Spectral Estimation": ["Felipe Tobar"], "Deep Reinforcement Learning of Marked Temporal Point Processes": ["Utkarsh Upadhyay", "Abir De", "Manuel Gomez Rodriguez"], "DropBlock: A regularization method for convolutional networks": ["Golnaz Ghiasi", "Tsung-Yi Lin", "Quoc V Le"], "Learning to Reason with Third Order Tensor Products": ["Imanol Schlag", "J\u00fcrgen Schmidhuber"], "PCA of high dimensional stochastic processes": ["Joseph Antognini", "Jascha Sohl-Dickstein"], "Neural Ordinary Differential Equations": ["Tian Qi Chen", "Yulia Rubanova", "Jesse Bettencourt", "David Duvenaud"], "Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames": ["Genevi\u00e8ve Robin", "Hoi-To Wai", "Julie Josse", "Olga Klopp", "Eric Moulines"], "A Bridging Framework for Model Optimization and Deep Propagation": ["Risheng Liu", "Shichao Cheng", "xiaokun liu", "Long Ma", "Xin Fan", "Zhongxuan Luo"], "FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network": ["Aditya Kusupati", "Manish Singh", "Kush Bhatia", "Ashish Kumar", "Prateek Jain", "Manik Varma"], "Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation": ["Jiaxuan You", "Bowen Liu", "Zhitao Ying", "Vijay Pande", "Jure Leskovec"], "Neural Arithmetic Logic Units": ["Andrew Trask", "Felix Hill", "Scott Reed", "Jack Rae", "Chris Dyer", "Phil Blunsom"], "Task-Driven Convolutional Recurrent Models of the Visual System": ["Aran Nayebi", "Daniel Bear", "Jonas Kubilius", "Kohitij Kar", "Surya Ganguli", "David Sussillo", "James J DiCarlo", "Daniel Yamins"], "Flexible and accurate inference and learning for deep generative models": ["Eszter V\u00e9rtes", "Maneesh Sahani"], "Large-Scale Stochastic Sampling from the Probability Simplex": ["Jack Baker", "Paul Fearnhead", "Emily Fox", "Christopher Nemeth"], "Neural Nearest Neighbors Networks": ["Tobias Pl\u00f6tz", "Stefan Roth"], "A General Method for Amortizing Variational Filtering": ["Joseph Marino", "Milan Cvitkovic", "Yisong Yue"], "Moonshine: Distilling with Cheap Convolutions": ["Elliot J. Crowley", "Gavin Gray", "Amos Storkey"], "Are ResNets Provably Better than Linear Predictors?": ["Ohad Shamir"], "Phase Retrieval Under a Generative Prior": ["Paul Hand", "Oscar Leong", "Vlad Voroninski"], "Kalman Normalization": ["Guangrun Wang", "jiefeng peng", "Ping Luo", "Xinjiang Wang", "Liang Lin"], "Supervising Unsupervised Learning": ["Vikas Garg", "Adam Kalai"], "PAC-learning in the presence of adversaries": ["Daniel Cullina", "Arjun Nitin Bhagoji", "Prateek Mittal"], "Statistical and Computational Trade-Offs in Kernel K-Means": ["Daniele Calandriello", "Lorenzo Rosasco"], "Adversarial Multiple Source Domain Adaptation": ["Han Zhao", "Shanghang Zhang", "Guanhang Wu", " Jos\u00e9 M. F. Moura", "Joao P Costeira", "Geoffrey Gordon"], "Link Prediction Based on Graph Neural Networks": ["Muhan Zhang", "Yixin Chen"], "Transfer of Deep Reactive Policies for MDP Planning": ["Aniket (Nick) Bajpai", "Sankalp Garg", "Mausam "], "Total stochastic gradient algorithms and applications in reinforcement learning": ["Paavo Parmas"], "Efficient Formal Safety Analysis of Neural Networks": ["Shiqi Wang", "Kexin Pei", "Justin Whitehouse", "Junfeng Yang", "Suman Jana"], "Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation": ["Yuan Li", "Xiaodan Liang", "Zhiting Hu", "Eric Xing"], "The Convergence of Sparsified Gradient Methods": ["Dan Alistarh", "Torsten Hoefler", "Mikael Johansson", "Nikola Konstantinov", "Sarit Khirirat", "Cedric Renggli"], "Towards Robust Interpretability with Self-Explaining Neural Networks": ["David Alvarez Melis", "Tommi Jaakkola"], "A probabilistic population code based on neural samples": ["Sabyasachi Shivkumar", "Richard Lange", "Ankani Chattoraj", "Ralf Haefner"], "Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting": ["Hippolyt Ritter", "Aleksandar Botev", "David Barber"], "Stochastic Nonparametric Event-Tensor Decomposition": ["Shandian Zhe", "Yishuai Du"], "Actor-Critic Policy Optimization in PartiallyObservable Multiagent Environments": ["Sriram Srinivasan", "Marc Lanctot", "Vinicius Zambaldi", "Julien Perolat", "Karl Tuyls", "Remi Munos", "Michael Bowling"], "Conditional Adversarial Domain Adaptation": ["Mingsheng Long", "ZHANGJIE CAO", "Jianmin Wang", "Michael Jordan"], "Out-of-Distribution Detection using Multiple Semantic Label Representations": ["Gabi Shalev", "Yossi Adi", "Joseph Keshet"], "SING: Symbol-to-Instrument Neural Generator": ["Alexandre Defossez", "Neil Zeghidour", "Nicolas Usunier", "Leon Bottou", "Francis Bach"], "Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo": ["HOLDEN LEE", "Andrej Risteski", "Rong Ge"], "Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling": ["Emilie Kaufmann", "Wouter Koolen", "Aur\u00e9lien Garivier"], "Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra": ["John T Halloran", "David M Rocke"], "Deep Homogeneous Mixture Models: Representation, Separation, and Approximation": ["Priyank Jaini", "Pascal Poupart", "Yaoliang Yu"], "Paraphrasing Complex Network: Network Compression via Factor Transfer": ["Jangho Kim", "Seonguk Park", "Nojun Kwak"], "Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization": ["Jie Cao", "Yibo Hu", "Hongwen Zhang", "Ran He", "Zhenan Sun"], "Critical initialisation for deep signal propagation in noisy rectifier neural networks": ["Arnu Pretorius", "Elan van Biljon", "Steve Kroon", "Herman Kamper"], "Generalized Zero-Shot Learning with Deep Calibration Network": ["Shichen Liu", "Mingsheng Long", "Jianmin Wang", "Michael Jordan"], "Sample Complexity of Nonparametric Semi-Supervised Learning": ["Chen Dan", "Liu Leqi", "Bryon Aragam", "Pradeep Ravikumar", "Eric Xing"], "Learning to Navigate in Cities Without a Map": ["Piotr Mirowski", "Matt Grimes", "Mateusz Malinowski", "Karl Moritz Hermann", "Keith Anderson", "Denis Teplyashin", "Karen Simonyan", "koray kavukcuoglu", "Andrew Zisserman", "Raia Hadsell"], "Scaling the Poisson GLM to massive neural datasets through polynomial approximations": ["David Zoltowski", "Jonathan W Pillow"], "Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction": ["Roei Herzig", "Moshiko Raboh", "Gal Chechik", "Jonathan Berant", "Amir Globerson"], "Hierarchical Graph Representation Learning with Differentiable Pooling": ["Zhitao Ying", "Jiaxuan You", "Christopher Morris", "Xiang Ren", "Will Hamilton", "Jure Leskovec"], "Breaking the Activation Function Bottleneck through Adaptive Parameterization": ["Sebastian Flennerhag", "Hujun Yin", "John Keane", "Mark Elliot"], "Neural Networks Trained to Solve Differential Equations Learn General Representations": ["Martin Magill", "Faisal Qureshi", "Hendrick de Haan"], "Differentially Private Bayesian Inference for Exponential Families": ["Garrett Bernstein", "Daniel Sheldon"], "Probabilistic Neural Programmed Networks for Scene Generation": ["Zhiwei Deng", "Jiacheng Chen", "YIFANG FU", "Greg Mori"], "Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs": ["Yanlin Han", "Piotr Gmytrasiewicz"], "Entropy and mutual information in models of deep neural networks": ["Marylou Gabri\u00e9", "Andre Manoel", "Cl\u00e9ment Luneau", "jean barbier", "Nicolas Macris", "Florent Krzakala", "Lenka Zdeborov\u00e1"], "Beauty-in-averageness and its contextual modulations: A Bayesian statistical account": ["Chaitanya Ryali", "Angela J Yu"], "Bias and Generalization in Deep Generative Models: An Empirical Study": ["Shengjia Zhao", "Hongyu Ren", "Arianna Yuan", "Jiaming Song", "Noah Goodman", "Stefano Ermon"], "Generalisation of structural knowledge in the Hippocampal-Entorhinal system": ["James Whittington", "Timothy Muller", "Shirely Mark", "Caswell Barry", "Tim Behrens"], "M-Walk: Learning to Walk in Graph with Monte Carlo Tree Search": ["Yelong Shen", "Jianshu Chen", "Po-Sen Huang", "Yuqing Guo", "Jianfeng Gao"], "Extracting Relationships by Multi-Domain Matching": ["Yitong Li", "michael Murias", "geraldine Dawson", "David Carlson"], "Size-Noise Tradeoffs in Generative Networks": ["Bolton Bailey", "Matus Telgarsky"], "Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations": ["Tong Wang"], "Scalable methods for 8-bit training of neural networks": ["Ron Banner", "Itay Hubara", "Elad Hoffer", "Daniel Soudry"], "Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning": ["Tom Zahavy", "Matan Haroush", "Nadav Merlis", "Daniel J Mankowitz", "Shie Mannor"], "Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching": ["Stepan Tulyakov", "Anton Ivanov", "Fran\u00e7ois Fleuret"], "Distributionally Robust Graphical Models": ["Rizal Fathony", "Ashkan Rezaei", "Mohammad Ali Bashiri", "Xinhua Zhang", "Brian Ziebart"], "Predictive Approximate Bayesian Computation via Saddle Points": ["Yingxiang Yang", "Bo Dai", "Negar Kiyavash", "Niao He"], "Chaining Mutual Information and Tightening Generalization Bounds": ["Amir Asadi", "Emmanuel Abbe", "Sergio Verdu"], "Toddler-Inspired Visual Object Learning": ["Sven Bambach", "David Crandall", "Linda Smith", "Chen Yu"], "The Effect of Network Width on the Performance of Large-batch Training": ["Lingjiao Chen", "Hongyi Wang", "Jinman Zhao", "Dimitris Papailiopoulos", "Paraschos Koutris"], "Leveraging the Exact Likelihood of Deep Latent Variable Models": ["Pierre-Alexandre Mattei", "Jes Frellsen"], "Deep Attentive Tracking via Reciprocative Learning": ["Shi Pu", "Yibing Song", "Chao Ma", "Honggang Zhang", "Ming-Hsuan Yang"], "Multi-Task Learning as Multi-Objective Optimization": ["Ozan Sener", "Vladlen Koltun"], "Training Neural Networks Using Features Replay": ["Zhouyuan Huo", "Bin Gu", "Heng Huang"], "Constructing Deep Neural Networks by Bayesian Network Structure Learning": ["Raanan Y. Rohekar", "Shami Nisimov", "Yaniv Gurwicz", "Guy Koren", "Gal Novik"], "Query Complexity of Bayesian Private Learning": ["Kuang Xu"], "Large Margin Deep Networks for Classification": ["Gamaleldin Elsayed", "Dilip Krishnan", "Hossein Mobahi", "Kevin Regan", "Samy Bengio"], "Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds": ["David Reeb", "Andreas Doerr", "Sebastian Gerwinn", "Barbara Rakitsch"], "Visual Goal-Conditioned Reinforcement Learning by Representation Learning": ["Ashvin Nair", "Vitchyr Pong", "Murtaza Dalal", "Shikhar Bahl", "Steven Lin", "Sergey Levine"], "Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning": ["Supasorn Suwajanakorn", "Noah Snavely", "Jonathan Tompson", "Mohammad Norouzi"], "An Information-Theoretic Analysis for Thompson Sampling with Many Actions": ["Shi Dong", "Benjamin Van Roy"], "Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures": ["Sergey Bartunov", "Adam Santoro", "Blake Richards", "Luke Marris", "Geoffrey E Hinton", "Timothy Lillicrap"], "Active Matting": ["Xin Yang", "Ke Xu", "Shaozhe Chen", "Shengfeng He", "Baocai Yin Yin", "Rynson Lau"], "Deep Neural Networks with Box Convolutions": ["Egor Burkov", "Victor Lempitsky"], "Sequential Context Encoding for Duplicate Removal": ["Lu Qi", "Shu Liu", "Jianping Shi", "Jiaya Jia"], "Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation": ["Chaitanya Ryali", "Gautam Reddy", "Angela J Yu"], "Nonparametric learning for Bayesian models via randomized objective functions": ["Simon Lyddon", "Stephen Walker", "Chris C Holmes"], "A Bayes-Sard Cubature Method": ["Toni Karvonen", "Chris J Oates", "Simo Sarkka"], "Towards Robust Detection of Adversarial Examples": ["Tianyu Pang", "Chao Du", "Yinpeng Dong", "Jun Zhu"], "Reinforced Continual Learning": ["Ju Xu", "Zhanxing Zhu"], "Learning Compressed Transforms with Low Displacement Rank": ["Anna Thomas", "Albert Gu", "Tri Dao", "Atri Rudra", "Christopher R\u00e9"], "Adding One Neuron Can Eliminate All Bad Local Minima": ["SHIYU LIANG", "Ruoyu Sun", "Jason Lee", "R. Srikant"], "Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making": ["Nishant Desai", "Andrew Critch", "Stuart J Russell"], "Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs": ["Timur Garipov", "Pavel Izmailov", "Dmitrii Podoprikhin", "Dmitry Vetrov", "Andrew Wilson"], "Scaling provable adversarial defenses": ["Eric Wong", "Frank Schmidt", "Jan Hendrik Metzen", "J. Zico Kolter"], "Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds": ["Xiaohan Chen", "Jialin Liu", "Zhangyang Wang", "Wotao Yin"], "A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication": ["Peng Jiang", "Gagan Agrawal"], "Latent Alignment and Variational Attention": ["Yuntian Deng", "Yoon Kim", "Justin Chiu", "Demi Guo", "Alexander Rush"], "A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents": ["YAN ZHENG", "Zhaopeng Meng", "Jianye Hao", "Zongzhang Zhang", "Tianpei Yang", "Changjie Fan"], "Lipschitz regularity of deep neural networks: analysis and efficient estimation": ["Aladin Virmaux", "Kevin Scaman"], "Learning an olfactory topography from neural activity in piriform cortex": ["Anqi Wu", "Stan Pashkovski", "Sandeep Datta", "Jonathan W Pillow"], "Learning Invariances using the Marginal Likelihood": ["Mark van der Wilk", "Matthias Bauer", "ST John", "James Hensman"], "Posterior Concentration for Sparse Deep Learning": ["Veronika Rockova", "nicholas polson"], "Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding": ["Nan Ke", "Anirudh Goyal ALIAS PARTH GOYAL", "Olexa Bilaniuk", "Jonathan Binas", "Michael Mozer", "Chris Pal", "Yoshua Bengio"], "Orthogonally Decoupled Variational Gaussian Processes": ["Hugh Salimbeni", "Ching-An Cheng", "Byron Boots", "Marc Deisenroth"], "A flexible neural representation for physics prediction": ["Damian Mrowca", "Chengxu Zhuang", "Elias Wang", "Nick Haber", "Li Fei-Fei", "Josh Tenenbaum", "Daniel Yamins"], "Adversarially Robust Optimization with Gaussian Processes": ["Ilija Bogunovic", "Jonathan Scarlett", "Stefanie Jegelka", "Volkan Cevher"], "Representer Point Selection for Explaining Deep Neural Networks": ["Chih-Kuan Yeh", "Joon Kim", "Ian En-Hsu Yen", "Pradeep Ravikumar"], "A Bayesian Approach to Generative Adversarial Imitation Learning": ["Wonseok Jeon", "Seokin Seo", "Kee-Eung Kim"], "Wasserstein Variational Inference": ["Luca Ambrogioni", "Umut G\u00fc\u00e7l\u00fc", "Ya\u011fmur G\u00fc\u00e7l\u00fct\u00fcrk", "Max Hinne", "Marcel A. J. van Gerven", "Eric Maris"], "Generalisation in humans and deep neural networks": ["Robert Geirhos", "Carlos R. M. Temme", "Jonas Rauber", "Heiko H. Sch\u00fctt", "Matthias Bethge", "Felix A. Wichmann"], "DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning": ["Runsheng Yu", "Wenyu Liu", "Yasen Zhang", "Zhi Qu", "Deli Zhao", "Bo Zhang"], "Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling": ["Yunzhe Tao", "Qi Sun", "Qiang Du", "Wei Liu"], "PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits": ["Bianca Dumitrascu", "Karen Feng", "Barbara Engelhardt"], "The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network": ["Jeffrey Pennington", "Pratik Worah"], "Multi-Agent Generative Adversarial Imitation Learning": ["Jiaming Song", "Hongyu Ren", "Dorsa Sadigh", "Stefano Ermon"], "The Importance of Sampling inMeta-Reinforcement Learning": ["Bradly Stadie", "Ge Yang", "Rein Houthooft", "Peter Chen", "Yan Duan", "Yuhuai Wu", "Pieter Abbeel", "Ilya Sutskever"], "Representation Learning for Treatment Effect Estimation from Observational Data": ["Liuyi Yao", "Sheng Li", "Yaliang Li", "Mengdi Huai", "Jing Gao", "Aidong Zhang"], "Bayesian Adversarial Learning": ["Nanyang Ye", "Zhanxing Zhu"], "Transfer of Value Functions via Variational Methods": ["Andrea Tirinzoni", "Rafael A Rodriguez", "Marcello Restelli"], "Equality of Opportunity in Classification: A Causal Approach": ["Junzhe Zhang", "Elias Bareinboim"], "Inequity aversion improves cooperation in intertemporal social dilemmas": ["Edward Hughes", "Joel Leibo", "Matthew Phillips", "Karl Tuyls", "Edgar Due\u00f1ez-Guzman", "Antonio Garc\u00eda Casta\u00f1eda", "Iain Dunning", "Tina Zhu", "Kevin McKee", "Raphael Koster", "Heather Roff", "Thore Graepel"], "Online Robust Policy Learning in the Presence of Unknown Adversaries": ["Aaron Havens", "Zhanhong Jiang", "Soumik Sarkar"], "Collaborative Learning for Deep Neural Networks": ["Guocong Song", "Wei Chai"], "Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution": ["Longquan Dai", "Liang Tang", "Yuan Xie", "Jinhui Tang"], "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks": ["Yusuke Tsuzuku", "Issei Sato", "Masashi Sugiyama"], "Information Constraints on Auto-Encoding Variational Bayes": ["Romain Lopez", "Jeffrey Regier", "Michael Jordan", "Nir Yosef"], "Step Size Matters in Deep Learning": ["Kamil Nar", "Shankar Sastry"], "Co-regularized Alignment for Unsupervised Domain Adaptation": ["Abhishek Kumar", "Prasanna Sattigeri", "Kahini Wadhawan", "Leonid Karlinsky", "Rogerio Feris", "Bill Freeman", "Gregory Wornell"], "Learning Abstract Options": ["Matthew Riemer", "Miao Liu", "Gerald Tesauro"], "Transfer Learning with Neural AutoML": ["Catherine Wong", "Neil Houlsby", "Yifeng Lu", "Andrea Gesmundo"], "SLAYER: Spike Layer Error Reassignment in Time": ["Sumit Bam Shrestha", "Garrick Orchard"], "Adversarial Regularizers in Inverse Problems": ["Sebastian Lunz", "Carola Schoenlieb", "Ozan \u00d6ktem"], "Statistical Recurrent Models on Manifold valued Data": ["Rudrasis Chakraborty", "Chun-Hao Yang", "Xingjian Zhen", "Monami Banerjee", "Derek Archer", "David Vaillancourt", "Vikas Singh", "Baba Vemuri"], "VideoCapsuleNet: A Simplified Network for Action Detection": ["Kevin Duarte", "Yogesh Rawat", "Mubarak Shah"], "Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections": ["Xin Zhang", "Armando Solar-Lezama", "Rishabh Singh"], "Infinite-Horizon Gaussian Processes": ["Arno Solin", "James Hensman", "Richard E Turner"], "Recurrent World Models Facilitate Policy Evolution": ["David Ha", "J\u00fcrgen Schmidhuber"], "Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images": ["Andrei Zanfir", "Elisabeta Marinoiu", "Mihai Zanfir", "Alin-Ionut Popa", "Cristian Sminchisescu"], "Unsupervised Text Style Transfer using Language Models as Discriminators": ["Zichao Yang", "Zhiting Hu", "Chris Dyer", "Eric Xing", "Taylor Berg-Kirkpatrick"], "DifNet: Semantic Segmentation by Diffusion Networks": ["Peng Jiang", "Fanglin Gu", "Yunhai Wang", "Changhe Tu", "Baoquan Chen"], "Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems": ["Jung-Su Ha", "Young-Jin Park", "Hyeok-Joo Chae", "Soon-Seo Park", "Han-Lim Choi"], "DeepPINK: reproducible feature selection in deep neural networks": ["Yang Lu", "Yingying Fan", "Jinchi Lv", "William Stafford Noble"], "Constructing Fast Network through Deconstruction of Convolution": ["Yunho Jeon", "Junmo Kim"], "Differentiable MPC for End-to-end Planning and Control": ["Brandon Amos", "Ivan Jimenez", "Jacob Sacks", "Byron Boots", "J. Zico Kolter"], "Training Deep Neural Networks with 8-bit Floating Point Numbers": ["Naigang Wang", "Jungwook Choi", "Daniel Brand", "Chia-Yu Chen", "Kailash Gopalakrishnan"], "Reducing Network Agnostophobia": ["Akshay Raj Dhamija", "Manuel G\u00fcnther", "Terrance Boult"], "On GANs and GMMs": ["Eitan Richardson", "Yair Weiss"], "Using Large Ensembles of Control Variates for Variational Inference": ["Tomas Geffner", "Justin Domke"], "Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning": ["Rui Luo", "Jianhong Wang", "Yaodong Yang", "Jun WANG", "Zhanxing Zhu"], "Generalizing Tree Probability Estimation via Bayesian Networks": ["Cheng Zhang", "Frederick A Matsen IV"], "Exploration in Structured Reinforcement Learning": ["Jungseul Ok", "Damianos Tranos", "Alexandre Proutiere"], "Regularization Learning Networks: Deep Learning for Tabular Datasets": ["Ira Shavitt", "Eran Segal"], "Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments": ["Mahdi Imani", "Seyede Fatemeh Ghoreishi", "Ulisses M. Braga-Neto"], "L4: Practical loss-based stepsize adaptation for deep learning": ["Michal Rolinek", "Georg Martius"], "Efficient nonmyopic batch active search": ["Shali Jiang", "Gustavo Malkomes", "Matthew Abbott", "Benjamin Moseley", "Roman Garnett"], "Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization": ["Yuanxiang Gao", "Li Chen", "Baochun Li"], "Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion": ["Jacob Buckman", "Danijar Hafner", "George Tucker", "Eugene Brevdo", "Honglak Lee"], "Generalized Inverse Optimization through Online Learning": ["Chaosheng Dong", "Yiran Chen", "Bo Zeng"], "Multi-Class Learning: From Theory to Algorithm": ["Jian Li", "Yong Liu", "Rong Yin", "Hua Zhang", "Lizhong Ding", "Weiping Wang"], "Minimax Statistical Learning with Wasserstein distances": ["Jaeho Lee", "Maxim Raginsky"], "Densely Connected Attention Propagation for Reading Comprehension": ["Yi Tay", "Anh Tuan Luu", "Siu Cheung Hui", "Jian Su"], "Deep Defense: Training DNNs with Improved Adversarial Robustness": ["Ziang Yan", "Yiwen Guo", "Changshui Zhang"], "Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues": ["Soumendu Sundar Mukherjee", "Purnamrita Sarkar", "Y. X. Rachel Wang", "Bowei Yan"], "Understanding Batch Normalization": ["Nils Bjorck", "Carla P Gomes", "Bart Selman", "Kilian Weinberger"], "Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior": ["Zi Wang", "Beomjoon Kim", "Leslie Kaelbling"], "Gather-Excite: Exploiting feature context in ConvNets": ["Jie Hu", "Li Shen", "Samuel Albanie", "Gang Sun", "Andrea Vedaldi"], "Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog": ["Sang-Woo Lee", "Yu-Jung Heo", "Byoung-Tak Zhang"], "Dual Policy Iteration": ["Wen Sun", "Geoffrey Gordon", "Byron Boots", "J. Bagnell"], "Bayesian Semi-supervised Learning with Graph Gaussian Processes": ["Yin Cheng Ng", "Nicol\u00f2 Colombo", "Ricardo Silva"], "Unsupervisedly Learned Latent Graphs as Transferable Representations": ["Zhilin Yang", "Jake Zhao", "Bhuwan Dhingra", "Kaiming He", "William Cohen", "Ruslan Salakhutdinov", "Yann LeCun"], "The committee machine: Computational to statistical gaps in learning a two-layers neural network": ["Benjamin Aubin", "Antoine Maillard", "jean barbier", "Florent Krzakala", "Nicolas Macris", "Lenka Zdeborov\u00e1"], "Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification": ["Dimitrios Milios", "Raffaello Camoriano", "Pietro Michiardi", "Lorenzo Rosasco", "Maurizio Filippone"], "Data center cooling using model-predictive control": ["Nevena Lazic", "Craig Boutilier", "Tyler Lu", "Eehern Wong", "Binz Roy", "MK Ryu", "Greg Imwalle"], "Gradient Sparsification for Communication-Efficient Distributed Optimization": ["Jianqiao Wangni", "Jialei Wang", "Ji Liu", "Tong Zhang"], "Reinforcement Learning for Solving the Vehicle Routing Problem": ["MohammadReza Nazari", "Afshin Oroojlooy", "Lawrence Snyder", "Martin Takac"], "Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation": ["Wenqi Ren", "Jiawei Zhang", "Lin Ma", "Jinshan Pan", "Xiaochun Cao", "Wangmeng Zuo", "Wei Liu", "Ming-Hsuan Yang"], "Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices": ["Jinhwan Park", "Yoonho Boo", "Iksoo Choi", "Sungho Shin", "Wonyong Sung"], "TETRIS: TilE-matching the TRemendous Irregular Sparsity": ["Yu Ji", "Ling Liang", "Lei Deng", "Youyang Zhang", "Youhui Zhang", "Yuan Xie"], "Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients?": ["Boris Hanin"], "Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $\\beta$-Divergences": ["Jeremias Knoblauch", "Jack E Jewson", "Theodoros Damoulas"], "Synthesis of Differentiable Functional Programs for Lifelong Learning": ["Lazar Valkov", "Dipak Chaudhari", "Akash Srivastava", "Charles Sutton", "Swarat Chaudhuri"], "Improved Expressivity Through Dendritic Neural Networks": ["Xundong Wu", "Xiangwen Liu", "wei li", "qing wu"], "Safe Active Learning for Time-Series Modeling with Gaussian Processes": ["Christoph Zimmer", "Mona Meister", "Duy Nguyen-Tuong"], "Genetic-Gated Networks for Deep Reinforcement Learning": ["Simyung Chang", "John Yang", "Jaeseok Choi", "Nojun Kwak"], "On the Local Hessian in Back-propagation": ["Huishuai Zhang", "Wei Chen", "Tie-Yan Liu"], "Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units": ["Yixi Xu", "Xiao Wang"], "Hunting for Discriminatory Proxies in Linear Regression Models": ["Samuel Yeom", "Anupam Datta", "Matt Fredrikson"], "Variational Inference with Tail Adapted f-Divergence": ["Dilin Wang", "Hao Liu", "Qiang Liu"], "Multitask Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies": ["Sungryull Sohn", "Junhyuk Oh", "Honglak Lee"], "Relational recurrent neural networks": ["Adam Santoro", "Ryan Faulkner", "David Raposo", "Jack Rae", "Mike Chrzanowski", "Theophane Weber", "Daan Wierstra", "Oriol Vinyals", "Razvan Pascanu", "Timothy Lillicrap"], "Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data": ["Dominik Linzner", "Heinz Koeppl"], "How Does Batch Normalization Help Optimization? (No, It Is Not About Internal Covariate Shift)": ["Shibani Santurkar", "Dimitris Tsipras", "Andrew Ilyas", "Aleksander Madry"], "Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization": ["Tianyi Liu", "Shiyang Li", "Jianping Shi", "Enlu Zhou", "Tuo Zhao"], "Deep Neural Nets with Interpolating Function as Output Activation": ["Bao Wang", "Xiyang Luo", "Zhen Li", "Wei Zhu", "Zuoqiang Shi", "Stanley Osher"], "Fighting Boredom in Recommender Systems with Linear Reinforcement Learning": ["Romain WARLOP", "Alessandro Lazaric", "J\u00e9r\u00e9mie Mary"], "Identification and Estimation of Causal Effects from Dependent Data": ["Eli Sherman", "Ilya Shpitser"], "An Off-policy Policy Gradient Theorem Using Emphatic Weightings": ["Ehsan Imani", "Eric Graves", "Martha White"], "Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks": ["Anirvan Sengupta", "Cengiz Pehlevan", "Mariano Tepper", "Alexander Genkin", "Dmitri Chklovskii"], "Diminishing Returns Shape Constraints for Interpretability and Regularization": ["Maya Gupta", "Dara Bahri", "Andrew Cotter", "Kevin Canini"], "Predictive Uncertainty Estimation via Prior Networks": ["Andrey Malinin", "Mark Gales"], "Unsupervised Video Object Segmentation for Deep Reinforcement Learning": ["Vikash Goel", "Jameson Weng", "Pascal Poupart"], "Boosting Black Box Variational Inference": ["Francesco Locatello", "Gideon Dresdner", "Rajiv Khanna", "Isabel Valera", "Gunnar Raetsch"], "Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net": ["Tom Michoel"], "Processing of missing data by neural networks": ["Marek \u015amieja", "\u0141ukasz Struski", "Jacek Tabor", "Bartosz Zieli\u0144ski", "Przemys\u0142aw Spurek"], "Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation": ["Edward Smith", "Scott Fujimoto", "David Meger"], "ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions": ["Hongyang Gao", "Zhengyang Wang", "Shuiwang Ji"], "Deep Dynamical Modeling and Control of Unsteady Fluid Flows": ["Jeremy Morton", "Antony Jameson", "Mykel J Kochenderfer", "Freddie Witherden"], "Deepcode: Feedback Codes via Deep Learning": ["Hyeji Kim", "Yihan Jiang", "Sreeram Kannan", "Sewoong Oh", "Pramod Viswanath"], "Learning Loop Invariants for Program Verification": ["Xujie Si", "Hanjun Dai", "Mukund Raghothaman", "Mayur Naik", "Le Song"], "Neural Guided Constraint Logic Programming for Program Synthesis": ["Lisa Zhang", "Gregory Rosenblatt", "Ethan Fetaya", "Renjie Liao", "William Byrd", "Matthew Might", "Raquel Urtasun", "Richard Zemel"], "Scalable Hyperparameter Transfer Learning": ["Valerio Perrone", "Rodolphe Jenatton", "Matthias W Seeger", "Cedric Archambeau"], "Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection": ["Taylor Mordan", "Nicolas THOME", "Gilles Henaff", "Matthieu Cord"], "Temporal Regularization for Markov Decision Process": ["Pierre Thodoroff", "Audrey Durand", "Joelle Pineau", "Doina Precup"], "Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition": ["Kuan Han", "Haiguang Wen", "Yizhen Zhang", "Di Fu", "Eugenio Culurciello", "Zhongming Liu"], "Improving Simple Models with Confidence Profiles": ["Amit Dhurandhar", "Karthikeyan Shanmugam", "Ronny Luss", "Peder A Olsen"], "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels": ["Zhilu Zhang", "Mert Sabuncu"], "Learning with SGD and Random Features": ["Luigi Carratino", "Alessandro Rudi", "Lorenzo Rosasco"], "Co-teaching: Robust Training Deep Neural Networks with Extremely Noisy Labels": ["Bo Han", "Quanming Yao", "Xingrui Yu", "Gang Niu", "Miao Xu", "Weihua Hu", "Ivor Tsang", "Masashi Sugiyama"], "Image Inpainting via Generative Multi-column Convolutional Neural Networks": ["Yi Wang", "Xin Tao", "Xiaojuan Qi", "Xiaoyong Shen", "Jiaya Jia"], "Insights on representational similarity in neural networks with canonical correlation": ["Ari Morcos", "Maithra Raghu", "Samy Bengio"], "Evolutionary Reinforcement Learning": ["Shauharda Khadka", "Kagan Tumer"], "Teaching Inverse Reinforcement Learners via Features and Demonstrations": ["Luis Haug", "Sebastian Tschiatschek", "Adish Singla"], "A Lyapunov-based Approach to Safe Reinforcement Learning": ["Yinlam Chow", "Ofir Nachum", "Edgar Duenez-Guzman", "Mohammad Ghavamzadeh"], "Fast deep reinforcement learning using online adjustments from the past": ["Steven Hansen", "Alexander Pritzel", "Pablo Sprechmann", "Andre Barreto", "Charles Blundell"], "Data-Efficient Hierarchical Reinforcement Learning": ["Ofir Nachum", "Shixiang (Shane) Gu", "Honglak Lee", "Sergey Levine"], "Explaining Deep Learning Models -- A Bayesian Non-parametric Approach": ["Wenbo Guo", "Sui Huang", "Yunzhe Tao", "Xinyu Xing", "Lin Lin"], "3D-Aware Scene Manipulation via Inverse Graphics": ["Shunyu Yao", "Tzu Ming Hsu", "Jun-Yan Zhu", "Jiajun Wu", "Antonio Torralba", "Bill Freeman", "Josh Tenenbaum"], "Dendritic cortical microcircuits approximate the backpropagation algorithm": ["Jo\u00e3o Sacramento", "Rui Ponte Costa", "Yoshua Bengio", "Walter Senn"], "Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning": ["Ofir Marom", "Benjamin Rosman"], "Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN": ["Shupeng Su", "Chao Zhang", "Kai Han", "Yonghong Tian"], "Can We Gain More from Orthogonality Regularizations in Training Deep Networks?": ["Nitin Bansal", "Xiaohan Chen", "Zhangyang Wang"], "Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization": ["Sijia Liu", "Bhavya Kailkhura", "Pin-Yu Chen", "Paishun Ting", "Shiyu Chang", "Lisa Amini"], "Dialog-based Interactive Image Retrieval": ["Xiaoxiao Guo", "Hui Wu", "Yu Cheng", "Steven Rennie", "Gerald Tesauro", "Rogerio Feris"], "A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks": ["Jeffrey Chan", "Valerio Perrone", "Jeffrey Spence", "Paul Jenkins", "Sara Mathieson", "Yun Song"], "Binary Classification from Positive-Confidence Data": ["Takashi Ishida", "Gang Niu", "Masashi Sugiyama"], "Attention in Convolutional LSTM for Gesture Recognition": ["Liang Zhang", "Guangming Zhu", "Lin Mei", "Peiyi Shen", "Syed Afaq Ali Shah", "Mohammed Bennamoun"], "Context-dependent upper-confidence bounds for directed exploration": ["Raksha Kumaraswamy", "Matthew Schlegel", "Adam White", "Martha White"], "Meta-Learning MCMC Proposals": ["Tongzhou Wang", "YI WU", "Dave Moore", "Stuart Russell"], "Inferring Latent Velocities from Weather Radar Data using Gaussian Processes": ["Rico Angell", "Daniel Sheldon"], "Relating Leverage Scores and Density using Regularized Christoffel Functions": ["Edouard Pauwels", "Francis Bach", "Jean-Philippe Vert"], "Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization": ["Hoi-To Wai", "Zhuoran Yang", "Princeton Zhaoran Wang", "Mingyi Hong"], "Using Quantum Graphical Models to Perform Inference in Hilbert Space": ["Siddarth Srinivasan", "Carlton Downey", "Byron Boots"], "Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks": ["Hyeonseob Nam", "Hyo-Eun Kim"], "Bayesian Alignments of Warped Multi-Output Gaussian Processes": ["Markus Kaiser", "Clemens Otte", "Thomas Runkler", "Carl Henrik Ek"], "Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate": ["Mikhail Belkin", "Daniel Hsu", "Partha Mitra"], "Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification": ["Harsh Shrivastava", "Eugene Bart", "Bob Price", "Hanjun Dai", "Bo Dai", "Srinivas Aluru"], "Scaling Gaussian Process Regression with Derivatives": ["David Eriksson", "Kun Dong", "Eric Lee", "David Bindel", "Andrew Wilson"], "Object-Oriented Dynamics Predictor": ["Guangxiang Zhu", "Zhiao Huang", "Chongjie Zhang"], "Meta-Reinforcement Learning of Structured Exploration Strategies": ["Abhishek Gupta", "Russell Mendonca", "YuXuan Liu", "Pieter Abbeel", "Sergey Levine"], "Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo": ["Oren Mangoubi", "Nisheeth Vishnoi"], "FishNet: the Beauty of Feature Preservation and Refinement": ["Shuyang Sun", "Jiangmiao Pang", "Jianping Shi", "Shuai Yi", "Wanli Ouyang"], "Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks": ["Abdullah Rashwan", "Agastya Kalra", "Pascal Poupart", "Prashant Doshi", "Georgios Trimponias", "Wei-Shou Hsu"], "Model-Agnostic Private Learning": ["Raef Bassily", "Abhradeep Guha Thakurta", "Om Dipakbhai Thakkar"], "Minimax Estimation of Neural Net Distance": ["Kaiyi Ji", "Yingbin Liang"], "Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling": ["Shannon McCurdy"], "Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior": ["Sid Reddy", "Anca Dragan", "Sergey Levine"], "The streaming rollout of deep networks - towards fully model-parallel execution": ["Volker Fischer", "Jan Koehler", "Thomas Pfeil"], "Dirichlet belief networks as structured topic prior": ["He Zhao", "Lan Du", "Wray Buntine", "Mingyuan Zhou"], "Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks": ["Zhihao Zheng", "Pengyu Hong"], "Towards Text Generation with Adversarially Learned Neural Outlines": ["Sandeep Subramanian", "Sai Rajeswar Mudumba", "Alessandro Sordoni", "Adam Trischler", "Aaron Courville", "Chris Pal"], "Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced": ["Simon Du", "Wei Hu", "Jason Lee"], "Representation Learning of Compositional Data": ["Marta Avalos", "Richard Nock", "Cheng Soon Ong", "Julien Rouar", "Ke Sun"], "Norm matters: efficient and accurate normalization schemes in deep networks": ["Elad Hoffer", "Ron Banner", "Itay Golan", "Daniel Soudry"], "Learning towards Minimum Hyperspherical Energy": ["Weiyang Liu", "Rongmei Lin", "Zhen Liu", "Lixin Liu", "Zhiding Yu", "Bo Dai", "Le Song"], "Learning Versatile Filters for Efficient Convolutional Neural Networks": ["Yunhe Wang", "Chang Xu", "Chunjing XU", "Chao Xu", "Dacheng Tao"], "Modern Neural Networks Generalize on Small Data Sets": ["Matthew Olson", "Abraham Wyner", "Richard Berk"], "Training Deep Models Faster with Robust, Approximate Importance Sampling": ["Tyler Johnson", "Carlos Guestrin"], "Approximating Real-Time Recurrent Learning with Random Kronecker Factors": ["Asier Mujika", "Florian Meier", "Angelika Steger"], "Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions": ["Minhyuk Sung", "Hao Su", "Ronald Yu", "Leonidas J Guibas"], "Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks": ["Quan Zhang", "Mingyuan Zhou"], "Power-law efficient neural codes provide general link between perceptual bias and discriminability": ["Michael Morais", "Jonathan W Pillow"], "Evolved Policy Gradients": ["Rein Houthooft", "Yuhua Chen", "Phillip Isola", "Bradly Stadie", "Filip Wolski", "OpenAI Jonathan Ho", "Pieter Abbeel"], "An Event-Based Framework for Task Specification and Control": ["Justin Fu", "Avi Singh", "Dibya Ghosh", "Larry Yang", "Sergey Levine"], "An intriguing failing of convolutional neural networks and the CoordConv solution": ["Rosanne Liu", "Joel Lehman", "Piero Molino", "Felipe Petroski Such", "Eric Frank", "Alex Sergeev", "Jason Yosinski"], "Unsupervised Learning of View-invariant Action Representations": ["Junnan Li", "Yongkang Wong", "Qi Zhao", "Mohan Kankanhalli"], "Connecting Optimization and Regularization Paths": ["Arun Suggala", "Adarsh Prasad", "Pradeep Ravikumar"], "Learning to Multitask": ["Yu Zhang", "Ying Wei", "Qiang Yang"], "Neural Architecture Optimization": ["Renqian Luo", "Fei Tian", "Tao Qin", "Enhong Chen", "Tie-Yan Liu"], "Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability": ["Michael Tsang", "Hanpeng Liu", "Sanjay Purushotham", "Pavankumar Murali", "Yan Liu"], "Learning sparse neural networks via sensitivity-driven regularization": ["Enzo Tartaglione", "Skjalg Leps\u00f8y", "Attilio Fiandrotti", "Gianluca Francini"], "Lifelong Inverse Reinforcement Learning": ["Jorge Armando Mendez Mendez", "Shashank Shivkumar", "Eric Eaton"], "Self-Handicapping Network for Integral Object Attention": ["Qibin Hou", "PengTao Jiang", "Yunchao Wei", "Ming-Ming Cheng"], "Data-Efficient Model-based Reinforcement Learning with Deep Probabilistic Dynamics Models": ["Kurtland Chua", "Roberto Calandra", "Rowan McAllister", "Sergey Levine"], "Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation": ["JING LI", "Rafal Mantiuk", "Junle Wang", "Suiyi Ling", "Patrick Le Callet"], "Exploring Sparse Features in Deep Reinforcement Learning towards Fast Disease Diagnosis": ["Yu-Shao Peng", "Kai-Fu Tang", "Hsuan-Tien Lin", "Edward Chang"], "Randomized Prior Functions for Deep Reinforcement Learning": ["Ian Osband", "John Aslanides", "Albin Cassirer"], "Learning latent variable structured prediction models with Gaussian perturbations": ["Kevin Bello", "Jean Honorio"], "Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces": ["Motoya Ohnishi", "Masahiro Yukawa", "Mikael Johansson", "Masashi Sugiyama"], "SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient": ["Aaron Mishkin", "Frederik Kunstner", "Didrik Nielsen", "Mark Schmidt", "Mohammad Emtiyaz Khan"], "Tree-to-tree Neural Networks for Program Translation": ["Xinyun Chen", "Chang Liu", "Dawn Song"], "Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization": ["Xiaoxuan Zhang", "Mingrui Liu", "Xun Zhou", "Tianbao Yang"], "Blackbox Matrix\u00d7Matrix Gaussian Process Inference": ["Jacob Gardner", "Geoff Pleiss", "Kilian Weinberger", "David Bindel", "Andrew Wilson"], "Neural Edit Operations for Biological Sequences": ["Satoshi Koide", "Keisuke Kawano", "Takuro Kutsuna"], "Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents": ["Edoardo Conti", "Vashisht Madhavan", "Felipe Petroski Such", "Joel Lehman", "Kenneth Stanley", "Jeff Clune"], "Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses": ["Corinna Cortes", "Vitaly Kuznetsov", "Mehryar Mohri", "Dmitry Storcheus", "Scott Yang"], "Pelee: A Real-Time Object Detection System on Mobile Devices": ["Jun Wang", "Tanner Bohn", "Charles Ling"], "Robust Learning of Fixed-Structure Bayesian Networks": ["Yu Cheng", "Ilias Diakonikolas", "Daniel Kane", "Alistair Stewart"], "Empirical Risk Minimization Under Fairness Constraints": ["Michele Donini", "Luca Oneto", "Shai Ben-David", "John Shawe-Taylor", "Massimiliano Pontil"], "Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search": ["Zhuwen Li", "Qifeng Chen", "Vladlen Koltun"], "High-dimensional Bayesian optimization via collaborative filtering": ["Nicolo Fusi", "Rishit Sheth", "Melih Elibol"], "Learning Libraries of Subroutines for Neurally\u2013Guided Bayesian Program Learning": ["Kevin Ellis", "Lucas Morales", "Mathias Sabl\u00e9-Meyer", "Armando Solar-Lezama", "Josh Tenenbaum"], "Parsimonious Bayesian deep networks": ["Mingyuan Zhou"], "Maximizing acquisition functions for Bayesian optimization": ["James Wilson", "Frank Hutter", "Marc Deisenroth"], "CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces": ["Liheng Zhang", "Marzieh Edraki", "Guo-Jun Qi"], "LF-Net: Learning Local Features from Images": ["Yuki Ono", "Eduard Trulls", "Pascal Fua", "Kwang Moo Yi"], "Neighbourhood Consensus Networks": ["Ignacio Rocco", "Mircea Cimpoi", "Relja Arandjelovi\u0107", "Akihiko Torii", "Tomas Pajdla", "Josef Sivic"], "Parameters as interacting particles: asymptotic scaling, convexity, and error of neural networks": ["Grant Rotskoff", "Eric Vanden-Eijnden"], "The Description Length of Deep Learning models": ["L\u00e9onard Blier", "Yann Ollivier"], "Learning Deep Disentangled Embeddings With the F-Statistic Loss": ["Karl Ridgeway", "Michael Mozer"], "Single-Agent Policy Tree Search With Guarantees": ["Laurent Orseau", "Levi Lelis", "Tor Lattimore", "Theophane Weber"], "Learning Temporal Point Processes via Reinforcement Learning": ["Shuang Li", "Shuai Xiao", "Shixiang Zhu", "Nan Du", "Yao Xie", "Le Song"], "Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions": ["Mingrui Liu", "Xiaoxuan Zhang", "Lijun Zhang", "Jing Rong", "Tianbao Yang"], "Efficient Neural Network Robustness Certification with General Activation Functions": ["Huan Zhang", "Tsui-Wei Weng", "Pin-Yu Chen", "Cho-Jui Hsieh", "Luca Daniel"], "Sigsoftmax: Reanalysis of the Softmax Bottleneck": ["Sekitoshi Kanai", "Yasuhiro Fujiwara", "Yuki Yamanaka", "Shuichi Adachi"], "Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments": ["Daniel Johnson", "Daniel Gorelik", "Ross E Mawhorter", "Kyle Suver", "Weiqing Gu", "Steven Xing", "Cody Gabriel", "Peter Sankhagowit"], "Synthesize Policies for Transfer and Adaptation across Environments and Tasks": ["Hexiang Hu", "Liyu CHEN", "Boqing Gong", "Fei Sha"], "The Limits of Post-Selection Generalization": ["Jonathan Ullman", "Adam Smith", "Kobbi Nissim", "Uri Stemmer", "Thomas Steinke"], "Reward learning from human preferences and demonstrations in Atari": ["Jan Leike", "Borja Ibarz", "Dario Amodei", "Geoffrey Irving", "Shane Legg"], "Learning to Infer Graphics Programs from Hand-Drawn Images": ["Kevin Ellis", "Daniel Ritchie", "Armando Solar-Lezama", "Josh Tenenbaum"], "Bayesian Model-Agnostic Meta-Learning": ["Jaesik Yoon", "Taesup Kim", "Ousmane Dia", "Sungwoong Kim", "Yoshua Bengio", "Sungjin Ahn"], "Invertibility of Convolutional Generative Networks from Partial Measurements": ["Fangchang Ma", "Ulas Ayaz", "Sertac Karaman"], "Iterative Value-Aware Model Learning": ["Amir-massoud Farahmand"], "Reversible Recurrent Neural Networks": ["Matthew MacKay", "Paul Vicol", "Jimmy Ba", "Roger Grosse"], "Hessian-based Analysis of Large Batch Training and Robustness to Adversaries": ["Zhewei Yao", "Amir Gholami", "Kurt Keutzer", "Michael W Mahoney", "Qi Lei"], "Data Amplification: A Unified and Competitive Approach to Property Estimation": ["Yi HAO", "Alon Orlitsky", "Ananda Theertha Suresh", "Yihong Wu"], "Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task": ["Dalin Guo", "Angela J Yu"], "Simple random search of static linear policies is competitive for reinforcement learning": ["Horia Mania", "Aurelia Guy", "Benjamin Recht"], "Gradient Descent for Spiking Neural Networks": ["Dongsung Huh", "Terrence J Sejnowski"], "FRAGE: Frequency-Agnostic Word Representation": ["Chengyue Gong", "Di He", "Xu Tan", "Tao Qin", "Liwei Wang", "Tie-Yan Liu"], "Learning to Decompose and Disentangle Representations for Video Prediction": ["Jun-Ting Hsieh", "Bingbin Liu", "De-An Huang", "Li Fei-Fei", "Juan Carlos Niebles"], "How Many Samples are Needed to Learn a Convolutional Neural Network?": ["Simon Du", "Yining Wang", "Xiyu Zhai", "Sivaraman Balakrishnan", "Ruslan Salakhutdinov", "Aarti Singh"], "Automating Bayesian optimization with Bayesian optimization": ["Gustavo Malkomes", "Roman Garnett"], "Meta-Gradient Reinforcement Learning": ["Zhongwen Xu", "Hado van Hasselt", "David Silver"], "Stimulus domain transfer in recurrent models for large scale cortical population prediction on video": ["Fabian Sinz", "Alexander Ecker", "Paul Fahey", "Edgar Walker", "Erick Cobos", "Emmanouil Froudarakis", "Dimitri Yatsenko", "Zachary Pitkow", "Jacob Reimer", "Andreas Tolias"], "With Friends Like These, Who Needs Adversaries?": ["Saumya Jetley", "Nicholas Lord", "Philip Torr"], "Automatic Program Synthesis of Long Programs with a Learned Garbage Collector": ["Amit Zohar", "Lior Wolf"], "Visualizing the Loss Landscape of Neural Nets": ["Hao Li", "Zheng Xu", "Gavin Taylor", "Christoph Studer", "Tom Goldstein"], "MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare": ["Edward Choi", "Cao Xiao", "Walter Stewart", "Jimeng Sun"], "Diversity-Driven Exploration Strategy for Deep Reinforcement Learning": ["Zhang-Wei Hong", "Tzu-Yun Shann", "Shih-Yang Su", "Yi-Hsiang Chang", "Tsu-Jui Fu", "Chun-Yi Lee"], "Hamiltonian Variational Auto-Encoder": ["Anthony L Caterini", "Arnaud Doucet", "Dino Sejdinovic"], "Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks": ["Yingyezhe Jin", "Wenrui Zhang", "Peng Li"], "Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning": ["Xing Yan", "Weizhong Zhang", "Lin Ma", "Wei Liu", "Qi Wu"], "HitNet: Hybrid Ternary Recurrent Neural Network": ["Peiqi Wang", "Xinfeng Xie", "Lei Deng", "Guoqi Li", "Dongsheng Wang", "Yuan Xie"], "Fast and Effective Robustness Certification": ["Gagandeep Singh", "Timon Gehr", "Matthew Mirman", "Markus P\u00fcschel", "Martin Vechev"], "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning": ["Tyler Scott", "Karl Ridgeway", "Michael Mozer"], "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms": ["Avital Oliver", "Augustus Odena", "Colin A Raffel", "Ekin Dogus Cubuk", "Ian Goodfellow"], "Learning to Optimize Tensor Programs": ["Tianqi Chen", "Lianmin Zheng", "Eddie Yan", "Ziheng Jiang", "Thierry Moreau", "Luis Ceze", "Carlos Guestrin", "Arvind Krishnamurthy"], "Virtual Class Enhanced Discriminative Embedding Learning": ["Binghui Chen", "Weihong Deng", "Haifeng Shen"], "Discrimination-aware Channel Pruning for Deep Neural Networks": ["Zhuangwei Zhuang", "Mingkui Tan", "Bohan Zhuang", "Jing Liu", "Yong Guo", "Qingyao Wu", "Junzhou Huang", "Jinhui Zhu"], "Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance": ["Giulia Luise", "Alessandro Rudi", "Massimiliano Pontil", "Carlo Ciliberto"], "Scalable Coordinated Exploration in Concurrent Reinforcement Learning": ["Maria Dimakopoulou", "Ian Osband", "Benjamin Van Roy"], "Deep Generative Markov State Models": ["Hao Wu", "Andreas Mardt", "Luca Pasquali", "Frank Noe"], "Heterogeneous Multi-output Gaussian Process Prediction": ["Pablo Moreno-Mu\u00f1oz", "Antonio Art\u00e9s", "Mauricio \u00c1lvarez"], "Deep Generative Models with Learnable Knowledge Constraints": ["Zhiting Hu", "Zichao Yang ", "Ruslan Salakhutdinov", "LIANHUI Qin", "Xiaodan Liang", "Haoye Dong", "Eric Xing"], "Robustness of conditional GANs to noisy labels": ["Kiran Thekumparampil", "Ashish Khetan", "Zinan Lin", "Sewoong Oh"], "Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger": ["Gabriel Synnaeve", "Zeming Lin", "Jonas Gehring", "Dan Gant", "Vegard Mella", "Vasil Khalidov", "Nicolas Carion", "Nicolas Usunier"], "Joint Autoregressive and Hierarchical Priors for Learned Image Compression": ["David Minnen", "Johannes Ball\u00e9", "George D Toderici"], "Recurrent Relational Networks": ["Rasmus Palm", "Ulrich Paquet", "Ole Winther"], "Masking: A New Perspective of Noisy Supervision": ["Bo Han", "Jiangchao Yao", "Gang Niu", "Mingyuan Zhou", "Ivor Tsang", "Ya Zhang", "Masashi Sugiyama"], "Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms": ["Zhihui Zhu", "Yifan Wang", "Daniel Robinson", "Daniel Naiman", "Rene Vidal", "Manolis Tsakiris"], "Synaptic Strength For Convolutional Neural Network": ["CHEN LIN", "Zhao Zhong", "Wu Wei", "Junjie Yan"], "Gated Complex Recurrent Neural Networks": ["Moritz Wolter", "Angela Yao"], "Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes": ["Loucas Pillaud-Vivien", "Alessandro Rudi", "Francis Bach"], "Active Geometry-Aware Visual Recognition in Cluttered Scenes": ["Ricson Cheng", "Ziyan Wang", "Katerina Fragkiadaki"], "Searching for Efficient Multi-Scale Architectures for Dense Image Prediction": ["Liang-Chieh Chen", "Maxwell Collins", "Yukun Zhu", "George Papandreou", "Barret Zoph", "Florian Schroff", "Hartwig Adam", "Jon Shlens"], "Learning Attractor Dynamics for Generative Memory": ["Yan Wu", "Gregory Wayne", "Karol Gregor", "Timothy Lillicrap"], "Learning from Group Comparisons: Exploiting Higher Order Interactions": ["Yao Li", "Minhao Cheng", "Kevin Fujii", "Fushing Hsieh", "Cho-Jui Hsieh"], "Bayesian Inference of Temporal Task Specifications from Demonstrations": ["Ankit Shah", "Pritish Kamath", "Julie A Shah", "Shen Li"], "Distributed Weight Consolidation: A Brain Segmentation Case Study": ["Patrick McClure", "Charles Zheng", "Jakub Kaczmarzyk", "John Rogers-Lee", "Satra Ghosh", "Dylan Nielson", "Peter A Bandettini", "Francisco Pereira"], "Impossibility of deducing preferences and rationality from human policy": ["Stuart Armstrong", "S\u00f6ren Mindermann"], "Statistical mechanics of low-rank tensor decomposition": ["Jonathan Kadmon", "Surya Ganguli"], "Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning": ["Yonathan Efroni", "Gal Dalal", "Bruno Scherrer", "Shie Mannor"], "Improved Network Robustness with Adversary Critic": ["Alexander Matyasko", "Lap-Pui Chau"], "Multimodal Generative Models for Scalable Weakly-Supervised Learning": ["Mike Wu", "Noah Goodman"], "Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams": ["Tam Le", "Makoto Yamada"], "Exact natural gradient in deep linear networks and its application to the nonlinear case": ["Alberto Bernacchia", "Mate Lengyel", "Guillaume Hennequin"], "Spectral Signatures in Backdoor Attacks on Deep Nets": ["Brandon Tran", "Jerry Li", "Aleksander Madry"], "Multi-Task Zipping via Layer-wise Neuron Sharing": ["Xiaoxi He", "Zimu Zhou", "Lothar Thiele"], "Partially-Supervised Image Captioning": ["Peter Anderson", "Stephen Gould", "Mark Johnson"], "Unsupervised Adversarial Invariance": ["Ayush Jaiswal", "Rex Yue Wu", "Wael Abd-Almageed", "Prem Natarajan"], "Contrastive Learning from Pairwise Measurements": ["Yi Chen", "Zhuoran Yang", "Yuchen Xie", "Princeton Zhaoran Wang"], "Learning long-range spatial dependencies with horizontal gated recurrent units": ["Drew Linsley", "Junkyung Kim", "Vijay Veerabadran", "Charles Windolf", "Thomas Serre"], "GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training": ["Mingchao Yu", "Zhifeng Lin", "Krishna Narra", "Songze Li", "Youjie Li", "Nam Sung Kim", "Alexander Schwing", "Murali Annavaram", "Salman Avestimehr"], "Group Equivariant Capsule Networks": ["Jan Eric Lenssen", "Matthias Fey", "Pascal Libuschewski"], "Porcupine Neural Networks: Approximating Neural Network Landscapes": ["Soheil Feizi", "Hamid Javadi", "Jesse Zhang", "David Tse"], "On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport": ["L\u00e9na\u00efc Chizat", "Francis Bach"], "Neural Architecture Search with Bayesian Optimisation and Optimal Transport": ["Kirthevasan Kandasamy", "Willie Neiswanger", "Jeff Schneider", "Barnabas Poczos", "Eric Xing"], "Graphical Generative Adversarial Networks": ["Chongxuan LI", "Max Welling", "Jun Zhu", "Bo Zhang"], "Heterogeneous Bitwidth Binarization in Convolutional Neural Networks": ["Joshua Fromm", "Shwetak Patel", "Matthai Philipose"], "Self-Supervised Generation of Spatial Audio for 360-degree Video": ["Pedro Morgado", "Nuno Nvasconcelos", "Timothy Langlois", "Oliver Wang"], "Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors": ["Fei Jiang", "Guosheng Yin", "Francesca Dominici"], "Structure-Aware Convolutional Neural Networks": ["Jianlong Chang", "Jie Gu", "Lingfeng Wang", "GAOFENG MENG", "SHIMING XIANG", "Chunhong Pan"], "The promises and pitfalls of Stochastic Gradient Langevin Dynamics": ["Nicolas Brosse", "Alain Durmus", "Eric Moulines"], "Evidential Deep Learning to Quantify Classification Uncertainty": ["Murat Sensoy", "Lance Kaplan", "Melih Kandemir"], "Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing": ["Zehong Hu", "Yitao Liang", "Jie Zhang", "Zhao Li", "Yang Liu"], "Faster Neural Networks Straight from JPEG": ["Lionel Gueguen", "Alex Sergeev", "Ben Kadlec", "Rosanne Liu", "Jason Yosinski"], "Improving Neural Program Synthesis with Inferred Execution Traces": ["Richard Shin", "Illia Polosukhin", "Dawn Song"], "Recurrently Controlled Recurrent Networks": ["Yi Tay", "Anh Tuan Luu", "Siu Cheung Hui"], "Variational Bayesian Monte Carlo": ["Luigi Acerbi"], "Hardware Conditioned Policies for Multi-Robot Transfer Learning": ["Tao Chen", "Adithyavairavan Murali", "Abhinav Gupta"], "Hyperbolic Neural Networks": ["Octavian Ganea", "Gary Becigneul", "Thomas Hofmann"], "Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance": ["Neal Jean", "Sang Michael Xie", "Stefano Ermon"], "Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features": ["Mojmir Mutny", "Andreas Krause"], "Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects": ["Adam Kosiorek", "Hyunjik Kim", "Yee Whye Teh", "Ingmar Posner"], "To Trust Or Not To Trust A Classifier": ["Heinrich Jiang", "Been Kim", "Melody Guan", "Maya Gupta"], "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis": ["Ye Jia", "Yu Zhang", "Ron Weiss", "Jonathan Shen", "Yonghui Wu", "zhifeng Chen"], "Mean-field theory of graph neural networks in graph partitioning": ["Tatsuro Kawamoto", "Masashi Tsubaki", "Tomoyuki Obuchi"], "Learning and Testing Causal Models with Interventions": ["Jayadev Acharya", "Arnab Bhattacharyya", "Constantinos Daskalakis", "Saravanan Kandasamy"], "Removing the Feature Correlation Effect of Multiplicative Noise": ["Zijun Zhang", "Yining Zhang", "Zongpeng Li"], "Adaptive Methods for Nonconvex Optimization": ["Manzil Zaheer", "Sashank Reddi", "Devendra Sachan", "Satyen Kale", "Sanjiv Kumar"], "Geometrically Coupled Monte Carlo Sampling": ["Mark Rowland", "Krzysztof Choromanski", "Fran\u00e7ois Chalus", "Aldo Pacchiano", "Tamas Sarlos", "Richard E Turner", "Adrian Weller"], "To What Extent Do Different Neural Networks Learn the Same Representation: A Neuron Activation Subspace Match Approach": ["Liwei Wang", "Lunjia Hu", "Jiayuan Gu", "Zhiqiang Hu", "Yue Wu", "Kun He", "John Hopcroft"], "Reinforcement Learning of Theorem Proving": ["Cezary Kaliszyk", "Josef Urban", "Henryk Michalewski", "Miroslav Ol\u0161\u00e1k"], "Policy Optimization via Importance Sampling": ["Alberto Maria Metelli", "Matteo Papini", "Francesco Faccio", "Marcello Restelli"], "Long short-term memory and Learning-to-learn in networks of spiking neurons": ["Guillaume Bellec", "Darjan Salaj", "Anand Subramoney", "Robert Legenstein", "Wolfgang Maass"], "Towards Deep Conversational Recommendations": ["Raymond Li", "Samira Ebrahimi Kahou", "Hannes Schulz", "Vincent Michalski", "Laurent Charlin", "Chris Pal"], "Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution": ["Zhisheng Zhong", "Tiancheng Shen", "Yibo Yang", "Zhouchen Lin", "Chao Zhang"], "Gaussian Process Conditional Density Estimation": ["Vincent Dutordoir", "Hugh Salimbeni", "James Hensman", "Marc Deisenroth"], "Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo": ["Marton Havasi", "Jos\u00e9 Miguel Hern\u00e1ndez-Lobato", "Juan Jos\u00e9 Murillo-Fuentes"], "SplineNets: Continuous Neural Decision Graphs": ["Cem Keskin", "Shahram Izadi"], "Learning to Share and Hide Intentions using Information Regularization": ["Daniel Strouse", "Max Kleiman-Weiner", "Josh Tenenbaum", "Matt Botvinick", "David Schwab"], "Unsupervised Learning of Artistic Styles with Archetypal Style Analysis": ["Daan Wynen", "Cordelia Schmid", "Julien Mairal"], "DeepProbLog: Neural Probabilistic Logic Programming": ["Robin Manhaeve", "Sebastijan Dumancic", "Angelika Kimmig", "Thomas Demeester", "Luc De Raedt"], "A Unified View of Piecewise Linear Neural Network Verification": ["Rudy Bunel", "Ilker Turkaslan", "Philip Torr", "Pushmeet Kohli", "Pawan K Mudigonda"], "Uncertainty-Aware Attention for Reliable Interpretation and Prediction": ["Jay Heo", "Hae Beom Lee", "Saehoon Kim", "Juho Lee", "Kwang Joon Kim", "Eunho Yang", "Sung Ju Hwang"], "Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation": ["Matthew O'Kelly", "Aman Sinha", "Hongseok Namkoong", "Russ Tedrake", "John Duchi"], "Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data": ["Yuanzhi Li", "Yingyu Liang"]}, {"Sparse DNNs with Improved Adversarial Robustness": ["DL"], "Knowledge Distillation by On-the-Fly Native Ensemble": ["DL"], "Q-learning with Nearest Neighbors": ["RL"], "Sparse Covariance Modeling in High Dimensions with Gaussian Processes": ["BY"], "On the Local Minima of the Empirical Risk": ["DL"], "Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach": ["RL", "BY"], "Learning filter widths of spectral decompositions with wavelets": ["DL"], "Poison Frogs! Targeted Clean-Label PoisoningAttacks on Neural Networks": ["DL"], "Loss Functions for Multiset Prediction": ["RL"], "Variational Learning on Aggregate Outputs with Gaussian Processes": ["BY"], "On Learning Markov Chains": ["BY"], "Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise": ["DL"], "Provable Variational Inference for Constrained Log-Submodular Models": ["BY"], "Playing hard exploration games by watching YouTube": ["DL", "RL"], "Sanity Checks for Saliency Maps": ["DL"], "Deep Learning for Supercomputers: Distributed Tensor Layouts Define Distributed Computation": ["DL"], "Supervised autoencoders: Improving generalization performance with unsupervised regularizers": ["DL"], "A Bayesian Nonparametric View on Count-Min Sketch": ["BY"], "Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks": ["DL"], "Neural Proximal Gradient Descent for Compressive Imaging": ["DL"], "Is Q-Learning Provably Efficient?": ["DL", "RL"], "Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks": ["DL"], "Training deep learning based denoisers without ground truth data": ["DL"], "Distributed Multitask Reinforcement Learning with Quadratic Convergence": ["RL"], "Clebsch\u2013Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network": ["DL"], "Computationally and Statistically Efficient Learning of Bayes Nets Using Path Queries": ["BY"], "Verifiable Reinforcement Learning via Policy Extraction": ["DL", "RL"], "BRUNO: A Deep Recurrent Model for Exchangeable Data": ["DL", "BY"], "Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives": ["DL"], "Maximum-Entropy Fine Grained Classification": ["DL"], "Neural Tangent Kernel: Convergence and Generalization in Neural Networks": ["DL", "BY"], "Exponentially Weighted Imitation Learning for Batched Historical Data": ["DL", "RL"], "End-to-End Differentiable Physics for Learning and Control": ["DL"], "Backpropagation with Callbacks: Towards Efficient and Expressive Differentiable Programming": ["DL"], "Deep State Space Models for Time Series Forecasting": ["DL"], "Visual Object Networks: Image Generation with Disentangled 3D Representations": ["DL"], "A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation": ["DL"], "Learning Plannable Representations with Causal InfoGAN": ["DL"], "End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems": ["DL"], "Semi-crowdsourced Clustering with Deep Generative Models": ["BY"], "Constrained Cross-Entropy Method for Safe Reinforcement Learning": ["RL"], "DAGs with NO TEARS: Continuous Optimization for Structure Learning": ["DL", "BY"], "Non-Local Recurrent Network for Image Restoration": ["DL"], "Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding": ["DL"], "A^2-Nets: Double Attention Networks": ["DL"], "On Oracle-Efficient PAC RL with Rich Observations": ["RL"], "Frequency-Domain Dynamic Pruning for Convolutional Neural Networks": ["DL"], "Modular Networks: Learning to Decompose Neural Computation": ["DL"], "Bayesian Distributed Stochastic Gradient Descent": ["DL", "BY"], "Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models": ["DL"], "BRITS: Bidirectional Recurrent Imputation for Time Series": ["DL"], "Multi-Layered Gradient Boosting Decision Trees": ["DL"], "A Convex Duality Framework for GANs": ["DL"], "Learning semantic similarity in a continuous space": ["DL"], "Regularizing by the Variance of the Activations' Sample-Variances": ["DL"], "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks": ["DL", "BY"], "Bandit Learning with Implicit Feedback": ["BY"], "Discretely Relaxing Continuous Variables for tractable Variational Inference": ["BY"], "Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian 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"Columbia University", "Felipe Tobar": "Universidad de Chile", "Max Kleiman-Weiner": "Harvard", "Yi HAO": "University of California, San Diego", "Ling Liang": "UCSB", "Hui Wu": "IBM Research", "Hsuan-Tien Lin": "Appier/National Taiwan University", "Stefano Ermon": "Stanford", "William Stafford Noble": "University of Washington", "Peder A Olsen": "IBM", "Jialei Wang": "Two Sigma Investments, University of Chicago", "Anne Haake": "Rochester Institute of Technology", "Dmitry Storcheus": "Google Research", "koray kavukcuoglu": "Google DeepMind", "Chao Ma": "University of Adelaide", "Enhong Chen": "University of Science and Technology of China", "Eric Moulines": "Ecole Polytechnique", "Lei Li": "ByteDance AI Lab", "Benjamin Recht": "UC Berkeley", "Guangming Zhu": "Xidian University", "Yelong Shen": "Microsoft Research, Redmond, WA", "Juan Carlos Niebles": "Stanford University", "Eugene Brevdo": "Google", "Devavrat Shah": "Massachusetts Institute of Technology", "Qilong Wang": "Tianjin University", "michael Murias": "Duke University", "Chuang Gan": "MIT-IBM Watson AI Lab", "Rongmei Lin": "Emory University", "Jizheng Xu": "Bytedance Inc.", "Daniel Robinson": "Johns Hopkins University", "Supasorn Suwajanakorn": "VISTEC", "Anh Tuan Luu": "Institute for Infocomm Research", "Eszter V\u00e9rtes": "Gatsby Unit, UCL", "Cem Keskin": "Google Inc.", "Richard Chen": "Happy Elements Inc.", "Robert Legenstein": "Graz University of Technology", "Shuang Li": "Georgia Institute of Technology", "Vikas Garg": "MIT", "Yihan Jiang": "University of Washington Seattle", "Dibya Ghosh": "UC Berkeley", "Yizhen Zhang": "Purdue University", "Andrey Malinin": "University of Cambridge", "Alon Orlitsky": "University of California, San Diego", "Guangxiang Zhu": "Tsinghua university", "Osbert Bastani": "University of Pennsylvania", "Eric Eaton": "University of Pennsylvania", "Wenrui Zhang": "Texas A&M University", "Gavin Taylor": "US Naval Academy", "Chen Yu": "Indiana University", "Matt Grimes": "DeepMind", "Prasanna Sattigeri": "IBM Research", "Henryk Michalewski": "University of Warsaw, University of Oxford, deepsense.ai", "Ofir Nachum": "Google Brain", "Zi Wang": "MIT", "Yong Liu": "Institute of Information Engineering, CAS", "Julien Rouar": "University of Bordeaux", "Satra Ghosh": "MIT", "Ryan Sepassi": "Google", "Gideon Dresdner": "ETH Z\u00fcrich", "Tsung-Yi Lin": "Google Brain", "Benjamin Rosman": "University of the Witwatersrand / CSIR", "Jean Honorio": "Purdue University", "Junfeng Yang": "Columbia University", "Richard Zemel": "Vector Institute/University of Toronto", "Zhihui Zhu": "Johns Hopkins University", "Ali Shafahi": "University of Maryland", "Stefan Roth": "TU Darmstadt", "Daniel Ritchie": "Brown University", "Kaiming He": "Facebook AI Research", "Frederick A Matsen IV": "Fred Hutchinson Cancer Research Center", "Moritz Hardt": "Google Brain", "Frank Hutter": "University of Freiburg", "Gal Chechik": "Google, BIU", "Alexander Genkin": "Neuroscience Institute, NYU Langone Health", "Przemys\u0142aw Spurek": "Jagiellonian University", "Shibani Santurkar": "MIT", "Will Hamilton": "McGill University / FAIR", "Mihai Zanfir": "IMAR", "Junmo Kim": "KAIST", "Gamaleldin Elsayed": "Google Brain", "Ricardo Silva": "University College London", "Tyler Johnson": "University of Washington", "Stepan Tulyakov": "\u00c9cole polytechnique f\u00e9d\u00e9rale de Lausanne (EPFL)", "Matthew Schlegel": "University of Alberta", "Ashkan Rezaei": "University of Illinois at Chicago", "Matthieu Cord": "Sorbonne University", "Chris Nemeth": "Lancaster University", "Cedric Renggli": "ETH Zurich", "Julius Kunze": "University College London", "Yen-Cheng Liu": "Georgia Tech", "Wei Chen": "Microsoft Research", "Edoardo Conti": "Facebook AML", "Romain Lopez": "UC Berkeley", "Jessie Huang": "McGill University", "Xiaohan Chen": "Texas A&M University", "Vegard Mella": "Facebook AI Research", "Ari Morcos": "Facebook AI Research", "Vijay Veerabadran": "University of California, San Diego", "Zhao Zhong": "CASIA (Institute of Automation Chinese Academy of Sciences)", "Zheng Zhang": "Shanghai New York Univeristy", "Sergey Levine": "UC Berkeley", "Greg Imwalle": "Google", "Ulisses M. Braga-Neto": "Texas A&M University", "Steven Lin": "UC Berkeley", "Justin Domke": "University of Massachusetts, Amherst", "lu Qi": "The Chinese University of Hong Kong", "Weihua Hu": "The University of Tokyo", "Sijia Liu": "MIT-IBM Watson AI Lab, IBM Research AI", "Jonathan Binas": "MILA, Montreal", "Chen Dan": "Carnegie Mellon University", "Larry Yang": "UC Berkeley", "David Bindel": "Cornell University", "TIAN TIAN": "Tsinghua University", "Vitchyr Pong": "UC Berkeley", "Chongxuan LI": "Tsinghua University", "Jimeng Sun": "Georgia Tech", "Michael W Mahoney": "UC Berkeley", "Vinicius Zambaldi": "Deepmind", "Edgar Due\u00f1ez-Guzman": "DeepMind", "Pawan K Mudigonda": "University of Oxford", "Fanglin Gu": "Shandong University", "Tomas Pajdla": "Czech Technical University in Prague", "Mate Lengyel": "University of Cambridge", "Timur Garipov": "Moscow State University", "Relja Arandjelovi\u0107": "DeepMind", "Martin Magill": "University of Ontario Institute of Technology", "Jan Leike": "DeepMind", "Marc Deisenroth": "Imperial College London", "Murat Sensoy": "Ozyegin University", "Naigang Wang": "IBM T. J. Watson Research Center", "Aldo Pacchiano": "UC Berkeley", "Rex Ying": "Stanford University", "Kilian Weinberger": "Cornell University", "Tom Zahavy": "Technion", "Guanhang Wu": "Carnegie Mellon University", "Miao Liu": "IBM", "Sewoong Oh": "University of Washington", "R. Srikant": "University of Illinois at Urbana-Champaign", "Kiran Thekumparampil": "Univ. of Illinois at Urbana-Champaign", "Bhuwan Dhingra": "Carnegie Mellon University", "L\u00e9na\u00efc Chizat": "INRIA", "Andrew Critch": "UC Berkeley", "William Cohen": "Google AI", "Vlad Voroninski": "Helm.ai", "Youhui Zhang": "Tsinghua University", "Russ Tedrake": "MIT", "Wei Hu": "Princeton University", "Andre Manoel": "OWKIN", "Scott Fujimoto": "McGill University", "Xiangwen Liu": "Hangzhou Dianzi University", "Umut G\u00fc\u00e7l\u00fc": "Donders Institute for Brain, Cognition and Behaviour, Radboud University", "Heiko H. Sch\u00fctt": "University of T\u00fcbingen", "Yining Zhang": "University of Calgary", "Zhenhua Liu": "Peking University", "George D Toderici": "Google", "Yuanzhi Li": "Princeton University", "Craig Boutilier": "Google", "Bianca Dumitrascu": "Princeton University", "Timon Gehr": "ETH Zurich", "Marek \u015amieja": "Jagiellonian University", "Yang Yu": "Nanjing University", "Barbara Engelhardt": "Princeton University", "Quan Zhang": "McCombs School of Business, University of Texas at Austin", "Bo Han": "RIKEN & UTS", "Duncan Wilson": "Leap Motion", "Ming-Yu Liu": "NVIDIA", "Yin Cheng Ng": "University College London", "Karl Ridgeway": "University of Colorado, Boulder", "Hae Beom Lee": "KAIST", "Kevin Ellis": "MIT", "Kai-Fu Tang": "HTC Research", "Eugene Bart": "Palo Alto Research Center", "Masashi Tsubaki": "National Institute of Advanced Industrial Science and Technology (AIST)", "Tong Wang": "University of Iowa", "De-An Huang": "Stanford University", "Andy Patterson": "University of Alberta", "Zhen Lin": "The University of Chicago", "Simyung Chang": "Seoul National University", "Priyank Jaini": "University of Waterloo", "Martin Takac": "Lehigh University", "Roberto Car": "Princeton University", "Fei Wang": "Purdue University", "Yossi Adi": "Bar Ilan University", "Hongyang Gao": "Texas A&M University", "Gabriel Synnaeve": "Facebook", "Xinyu (X.Y.) Xing": "Penn State University", "Ziyan Wang": "Carnegie Mellon University", "Zheng Wen": "Adobe Research", "Carlos R. M. Temme": "University of T\u00fcbingen", "Marton Havasi": "University of Cambridge", "Robin Manhaeve": "KU Leuven", "Yann LeCun": "Facebook AI Research and New York University", "xu lan": "Queen Mary, University of London", "Jie Tang": "Tsinghua University", "Chaitanya Ryali": "UC San Diego", "Joelle Pineau": "McGill University", "Shubhendu Trivedi": "Brown University", "Aladin Virmaux": "Huawei", "Xinyun Chen": "UC Berkeley", "Jianqiao Wangni": "University of Pennsylvania", "Ian Osband": "Google Deepmind", "Nicolas Brosse": "Ecole Polytechnique, Palaiseau, FRANCE", "Roberto Calandra": "UC Berkeley", "Jungwook Choi": "IBM Research", "Peihua Li": "Dalian University of Technology", "Wonseok Jeon": "KAIST", "Ilker Turkaslan": "University of Oxford", "Bryon Aragam": "Carnegie Mellon University", "Yaliang Li": "Tencent Medical AI Lab", "Alexander H. Liu": "National Taiwan University", "Yingyezhe Jin": "Facebook Inc", "Octavian Ganea": "ETH Zurich", "Andrew Hou": "Nankai University", "Edward Hughes": "DeepMind", "Ming-Hsuan Yang": "UC Merced / Google", "Cody Gabriel": "Intel Corporation", "Adish Singla": "MPI-SWS", "Shikhar Bahl": "UC Berkeley", "Seokin Seo": "KAIST", "Pengyu Hong": "Brandeis University", "Liyu CHEN": "University of Southern California", "Zeming Lin": "Facebook AI Research", "Tim Januschowski": "Amazon", "Chris Pal": "MILA, Polytechnique Montr\u00e9al, Element AI", "David M Rocke": "University of California, Davis", "Tiancheng Shen": "Peking University", "J. Bagnell": "Carnegie Mellon University", "Yoshua Bengio": "U. Montreal", "Negar Kiyavash": "Georgia Tech", "Jianshu Li": "National University of Singapore", "jiefeng peng": "Sun Yat-sen University", "Nikhil Naik": "Massachusetts Institute of Technology", "Trefor Evans": "University of Toronto", "Kailash Gopalakrishnan": "IBM Research", "Jonathan Berant": "Tel Aviv University", "Niki Parmar": "Google", "Jeffrey Pennington": "Google Brain", "Lazar Valkov": "University of Edinburgh", "Zhao Li": "Alibaba Group", "Tianpei Yang": "Tianjin University", "Steven Rennie": "Fusemachines", "George Papandreou": "Google", "Corinna Cortes": "Google Research", "Piotr Mirowski": "DeepMind", "Andrej Risteski": "MIT", "Philip Torr": "University of Oxford", "William Byrd": "University of Alabama at Birmingham", "Hoi-To Wai": "The Chinese University of Hong Kong", "Pascal Poupart": "University of Waterloo & RBC Borealis AI", "Jon Shlens": "Google Research", "Ohad Shamir": "Weizmann Institute of Science", "S\u00f6ren Mindermann": "Vector Institute", "Hyunjik Kim": "", "Rong Yin": "School of Cyber Security, University of Chinese Academy of Sciences", "Zheng Xu": "University of Maryland, College Park", "Illia Polosukhin": "NEAR", "Kyunghyun Cho": "NYU", "Julien Perolat": "DeepMind", "Chun-Hao Yang": "University of Florida", "Dario Amodei": "OpenAI", "Timothy Langlois": "Adobe Systems Inc", "Lijun Zhang": "Nanjing University (NJU)", "Simon Du": "Carnegie Mellon University", "David Eriksson": "Cornell University", "Hong Namkoong": "Stanford University", "Seth Flaxman": "Imperial College London", "Heng Huang": "University of Pittsburgh", "Qingyun Sun": "Stanford university", "Luca Oneto": "University of Genoa", "Yogesh Rawat": "University of Central Florida", "Matteo Papini": "Politecnico di Milano", "Jake Zhao": "New York University / Facebook", "Alin-Ionut Popa": "IMAR", "Jonas Kubilius": "Massachusetts Institute of Technology", "YIFANG FU": "Simon Fraser University", "Chunjing XU": "Huawei Technologies", "Jianmin Wang": "Tsinghua University", "Ashish Vaswani": "Google Brain", "Jan Koehler": "Robert Bosch GmbH", "Chris R\u00e9": "Stanford", "Herman Kamper": "Stellenbosch University", "Hyo-Eun Kim": "Lunit Inc", "Junnan Li": "National University of Singapore", "Rizal Fathony": "University of Illinois at Chicago", "Lorenzo Rosasco": "University of Genova- MIT - IIT", "Eitan Richardson": "The Hebrew University of Jerusalem", "Stefanie Jegelka": "MIT", "Paavo Parmas": "Okinawa Institute of Science and Technology Graduate University", "Zhen Liu": "Georgia Institute of Technology", "YAN ZHENG": "Tianjin University", "Felipe Petroski Such": "Uber AI Labs", "Liheng Zhang": "University of Central Florida", "Gang Sun": "Momenta", "Aaron Havens": "University of Illinois Urbana-Champaign", "Jesse Bettencourt": "University of Toronto", "Jonas Gehring": "Facebook AI Research", "Li Fei-Fei": "Stanford University & Google", "Xingrui Yu": "University of Technology Sydney", "Lance Kaplan": "U.S. Army Research Laboratory", "Zhouyuan Huo": "University of Pittsburgh", "Zhongwen Xu": "DeepMind", "Jun-Ting Hsieh": "Stanford University", "Charles Blundell": "DeepMind", "Mykel J Kochenderfer": "Stanford University", "Ewan Cameron": "", "Walter Senn": "University of Bern", "Yingyu Liang": "University of Wisconsin Madison", "Tianbao Yang": "The University of Iowa", "Alexander Matyasko": "Nanyang Technological University", "Yu-Chiang Frank Wang": "National Taiwan University", "Hamid Javadi": "Stanford University", "SHIYU LIANG": "UIUC", "Vik Goel": "University of Waterloo", "Aaron Courville": "U. Montreal", "Alexander Pritzel": "Deepmind", "Xilun Wu": "Purdue University", "Adam Trischler": "Microsoft", "Melody Guan": "Stanford University", "Zhihao Zheng": "Brandeis University", "Massimiliano Pontil": "IIT", "Jungseul Ok": "UIUC", "Yuhuai Wu": "University of Toronto", "Pietro Michiardi": "EURECOM", "Jure Leskovec": "Stanford University and Pinterest", "Damian Mrowca": "Stanford University", "Hugh Salimbeni": "Imperial College London", "Ricky Chen": "University of Toronto", "Kahini Wadhawan": "IBM Research", "Kirthevasan Kandasamy": "Carnegie Mellon University", "Bolton Bailey": "University of Illinois Urbana-Champaign", "Steven Hansen": "DeepMind", "Karthikeyan Shanmugam": "IBM Research, NY", "David Donoho": "Stanford University", "Hao Liu": "UT Austin", "Freddie Witherden": "Imperial College London", "Chang Xu": "The University of Sydney", "Benjamin Moseley": "Carnegie Mellon University", "Longquan Dai": "Nanjing University of Science and Technology", "John Keane": "University of Manchester", "Shakarim Soltanayev": "Ulsan National Institute of Science and Technology", "Akshay Raj Dhamija": "University of Colorado Colorado Springs", "Saumya Jetley": "University of Oxford", "Skjalg Leps\u00f8y": "Telecom Italia", "Paishun Ting": "University of Michigan", "Darjan Salaj": "Graz University of Technology", "Yurong Chen": "Intel Labs China", "Chun-Chen Tu": "University of Michigan", "Hartwig Adam": "Google", "Dipak Chaudhari": "Rice University", "Matthias Bethge": "University of T\u00fcbingen", "Pushmeet Kohli": "DeepMind", "Felix Hill": "Deepmind", "Ryan Faulkner": "Deepmind", "Adam Kalai": "Microsoft Research New England (-(-_(-_-)_-)-)", "Damianos Tranos": "KTH Royal Institute of Stockholm", "Jonathan W Pillow": "Princeton University", "Cheng Zhang": "Fred Hutchinson Cancer Research Center", "Horia Mania": "UC Berkeley", "Yi-Hsiang Chang": "", "Eric Xing": "Petuum Inc. / Carnegie Mellon University", "Chris J Oates": "Newcastle University", "Milan Cvitkovic": "California Institute of Technology", "Aarti Singh": "CMU", "Thomas Pfeil": "Robert Bosch GmbH", "Audrey Durand": "McGill University", "Rasmus Palm": "Technical University Denmark", "Been Kim": "Google", "Pieter Abbeel": "UC Berkeley | Gradescope | Covariant", "Gang Niu": "RIKEN", "Hongwen Zhang": "CASIA", "Kun Dong": "Cornell University", "Ivan Jimenez": "Georgia Tech", "Tomas Geffner": "University of Massachusetts, Amherst", "Loucas Pillaud-Vivien": "INRIA - Ecole Normale Sup\u00e9rieure", "Yi Wang": "Chinese University of Hong Kong", "Rong Ge": "Duke University", "Ming-Ming Cheng": "Nankai University", "Kevin Duarte": "University of Central Florida", "Rishabh Singh": "Google Brain", "James Whittington": "University of Oxford", "Edgar Walker": "Baylor College of Medicine", "Dylan Nielson": "NIMH", "Adam Santoro": "DeepMind", "Kexin Yi": "Harvard University, MIT CSAIL", "Elad Hoffer": "Technion", "Mikhail Belkin": "Ohio State University", "Xiatian Zhu": "Queen Mary University, London, UK", "Gal Novik": "Intel", "Shami Nisimov": "intel", "Junle Wang": "Tencent", "Daniele Calandriello": "LCSL IIT/MIT", "Haiguang Wen": "Purdue University", "Hanjun Dai": "Georgia Tech", "Piotr Gmytrasiewicz": "UIC", "Shane Legg": "DeepMind", "Hexiang Hu": "University of Southern California", "Youjie Li": "UIUC", "Cedric Archambeau": "Amazon", "Tianqi Chen": "University of Washington", "Jack E Jewson": "University of Warwick", "Gregory Essertel": "Purdue University", "Christoph Studer": "Cornell University", "Xiao Wang": "Purdue University", "Michael Tsang": "University of Southern California", "Sebastien Bubeck": "Microsoft Research", "Jascha Sohl-Dickstein": "Google Brain", "\u0141ukasz Struski": "Jagiellonian University", "Isabel Valera": "Max Planck Institute for Intelligent Systems", "Greg Wayne": "Google DeepMind", "Ignacio Rocco": "Inria", "Ufuk Topcu": "The University of Texas at Austin", "Akash Srivastava": "University of Edinburgh", "Manish Singh": "Indian Institute of Technology Delhi", "Tong Zhang": "Tencent AI Lab", "Hannes Schulz": "Microsoft Research, Montreal", "Aviv Tamar": "UC Berkeley", "Geoffrey Irving": "OpenAI", "Shu Liu": "Chinese University of Hong Kong", "Seonguk Park": "Seoul National University", "Zichao Yang ": "", "Jorge Armando Mendez Mendez": "University of Pennsylvania", "Qi Wu": "City University of Hong Kong", "Chih-Kuan Yeh": "Carnegie Mellon University", "Ivor Tsang": "University of Technology, Sydney", "Martin Vechev": "DeepCode and ETH Zurich, Switzerland", "Zhilin Yang": "Carnegie Mellon University", "Yunho Jeon": "KAIST", "Junjie Yan": "Sensetime Group Limited", "Georgios Theocharous": "Adobe Research", "Scott Yang": "D. E. Shaw & Co.", "Sang-Woo Lee": "Naver Corp.", "Peiqi Wang": "Tsinghua University", "Avi Singh": "UC Berkeley", "Pedro Morgado": "University of California, San Diego", "Jianhong Wang": "UCL", "Abir De": "Max Planck Insitute for Software Systems", "Lei Han": "", "Daniel Yamins": "Stanford University", "Louis Kirsch": "University College London & IDSIA", "Edgar Duenez-Guzman": "DeepMind", "Amir-massoud Farahmand": "Vector Institute", "Jan Lenssen": "TU Dortmund", "Lingjiao Chen": "University of Wisconsin-Madison", "Yuanxiang Gao": "University of Toronto", "Alberto Maria Metelli": "Politecnico di Milano", "Shahram Izadi": "Google", "Jeff Clune": "Uber AI Labs", "Eric Frank Frank": "Uber AI Labs", "Luca Pasquali": "Freie Universitat Berlin", "Matthew Riemer": "IBM Research AI", "Xiaoxuan Zhang": "University of Iowa", "Jiangmiao Pang": "Zhejiang University", "Ziheng Jiang": "Fudan University", "Jie Zhang": "Nanyang Technological University", "Cao Xiao": "IBM Research", "Peiyi Shen": "School of Software, Xidian University, China", "Yannis Kalantidis": "Facebook", "Gagandeep Singh": "ETH Zurich", "Mert Sabuncu": "Cornell", "Aran Nayebi": "Stanford University", "Levi Lelis": "Universidade Federal de Vi\u00e7osa", "Kai Han": "Noah's Ark Laboratory, Huawei", "Di He": "Peking University", "Neal Jean": "Stanford University", "Pavankumar Murali": "IBM", "Jiayuan Gu": "University of California, San Diego", "Yitao Liang": "UCLA", "DJ Strouse": "Princeton University", "Marzieh Edraki": "University of Central Florida", "Yann Ollivier": "Facebook Artificial Intelligence Research", "Jeff Regier": "UC Berkeley", "Michal Rolinek": "Max Planck Institute for Intelligent Systems", "Nir Yosef": "UC Berkeley", "Aurelia Guy": "UC Berkeley", "Murali Annavaram": "University of Southern California", "Faisal Qureshi": "University of Ontario Institute of Technology, Canada", "Zuoqiang Shi": "[email protected]", "Moritz Wolter": "University of Bonn", "Fei Jiang": "The University of Hong Kong", "Runsheng Yu": "Xiaomi Intelligent Technology Co., Ltd", "J\u00e9r\u00e9mie Mary": "", "Antonio Torralba": "MIT", "Jack Rae": "DeepMind, UCL", "Edward Choi": "Georgia Institute of Technology", "Jun WANG": "UCL", "Zinan Lin": "Carnegie Mellon University", "Kevin Gimpel": "", "Peter Sankhagowit": "Intel Corporation", "Eric Graves": "University of Alberta", "Qifeng Chen": "HKUST", "Wenqi Ren": "Chinese Academy of Sciences", "Hyeok-Joo Chae": "KAIST", "Kush Bhatia": "UC Berkeley", "Santu Rana": "Deakin University", "Bin Gu": "Pittsburgh University", "Dogus Cubuk": "Google Brain", "Mantas Mazeika": "University of Chicago", "Frank Schmidt": "Robert Bosch GmbH", "Joseph Antognini": "Whisper AI", "Alexander Rush": "Harvard", "George Tucker": "Google Brain", "Bingbin Liu": "Stanford University", "Fran\u00e7ois Chalus": "Credit Suisse & University of Cambridge", "Tim Lucas": "University of Oxford", "Kenneth Stanley": "Uber AI Labs and University of Central Florida", "Prateek Mittal": "Princeton University", "Minhyuk Sung": "Stanford University", "Ashvin Nair": "UC Berkeley", "Jun-Yan Zhu": "MIT", "Alain Durmus": "ENS", "Georg Martius": "MPI for Intelligent Systems", "Zhongxuan Luo": "DALIAN UNIVERSITY OF TECHNOLOGY", "Yaodong Yang": "University College London", "Yu Ji": "Tsinghua University", "David Silver": "DeepMind", "Francesco Locatello": "MPI T\u00fcbingen - ETH Z\u00fcrich", "Zhiqiang Hu": "Peking University", "Egor Burkov": "Samsung", "Zhanxing Zhu": "Peking University", "Amos Storkey": "University of Edinburgh", "Yulia Rubanova": "University of Toronto", "Nikola Konstantinov": "IST Austria", "Siamak Zamani Dadaneh": "Texas A&M University", "Matt Botvinick": "Google DeepMind / University College London", "Andreas Doerr": "BCAI, MPI-IS AMD", "Tiark Rompf": "Purdue University", "Jiawei Zhang": "Sensetime Research", "Miroslav Ol\u0161\u00e1k": "Charles University in Prague", "Anirvan Sengupta": "Rutgers University", "Julius Adebayo": "Google ", "Arvind Krishnamurthy": "University of Washington", "Shengjia Zhao": "Stanford University", "Tom Goldstein": "University of Maryland", "Yanlin Han": "University of Illinois at Chicago", "Xujie Si": "University of Pennsylvania", "David Schwab": "ITS, CUNY Graduate Center", "Shali Jiang": "Washington University in St. Louis", "Tie-Yan Liu": "Microsoft Research Asia", "Yishuai Du": "University of Utah", "Tyler Lu": "Google", "GAOFENG MENG": "Institute of Automation, Chinese Academy of Sciences", "Matan Haroush": "Technion", "Ulrich Paquet": "DeepMind", "Niao He": "UIUC", "Sergio Verdu": "Princeton University", "Ji Liu": "University of Rochester, Tencent AI lab", "Leon Bottou": "Facebook AI Research", "Kexin Pei": "Columbia University", "Matt Fredrikson": "CMU", "Lea Duncker": "Gatsby Unit, UCL", "Sriram Srinivasan": "Google", "Agastya Kalra": "University of Waterloo", "Lan Du": "Monash University", "Yang Cai": "McGill University", "Dmitry Vetrov": "Higher School of Economics, Samsung AI Center, Moscow", "Vijay Pande": "Stanford", "Soon-Seo Park": "KAIST", "Jiajun Wu": "MIT", "Kyle Suver": "Harvey Mudd College", "Philip Torr": "University of Oxford", "Weiyang Liu": "Georgia Institute of Technology", "Willie Neiswanger": "Carnegie Mellon University", "Xiaoxi He": "ETH Z\u00fcrich", "Xiaojuan Qi": "CUHK", "Andreas Mardt": "", "Fa Wu": "McGill", "Anthony L Caterini": "University of Oxford", "Greg Mori": "Borealis AI", "Ousmane Dia": "Element AI", "Jeff Schneider": "CMU", "Lawrence Snyder": "Lehigh University", "Chia-Yu Chen": "IBM research", "Amit Dhurandhar": "IBM Research", "Rasul Tutunov": "PROWLER.io", "Hao Wu": "Freie Universit\u00e4t Berlin", "Qi Sun": "CSRC & USTC & CU", "Daniel Soudry": "Technion", "Pablo Sprechmann": "DeepMind", "Samira Ebrahimi Kahou": "Microsoft", "Mengdi Huai": "State University of New York at Buffalo", "Yusuke Tsuzuku": "The University of Tokyo", "Jianye Hao": "Tianjin University", "Manolis Tsakiris": "ShanghaiTech University", "Matthew Olson": "University of Pennsylvania", "Olga Klopp": "Universit\u00e9 Paris Ouest", "Wei Zhu": "Duke University", "Gilles Henaff": "Thales Optronique S.A.S.", "Noah Snavely": "Google", "Drew Linsley": "Brown University", "Jinhwan Park": "Seoul National University", "Nan Du": "Google Brain", "Zhoutong Zhang": "MIT", "Zongzhang Zhang": "Soochow University", "Ruoyu Sun": "University of Illinois at Urbana-Champaign", "Tianyi Liu": "Georgia Institute of Technolodgy", "Eehern Wong": "Google", "HOLDEN LEE": "Princeton", "Zhiao Huang": "IIIS, Tsinghua University", "Alberto Bernacchia": "University of Cambridge", "Thore Graepel": "DeepMind", "Lisa Zhang": "University of Toronto", "Manzil Zaheer": "Google", "Jerry Li": "Berkeley", "Nikos Vlassis": "Netflix", "Luis Haug": "ETH Zurich", "Han-Lim Choi": "Korea Advanced Institute of Science and Technology", "Nitin Bansal": "Texas A&M University", "Chunhong Pan": "Institute of Automation, Chinese Academy of Sciences", "Amit Zohar": "Tel Aviv Universtiy", "Li Shen": "University of Oxford", "Filipe de Avila Belbute-Peres": "Carnegie Mellon University", " Jos\u00e9 M. F. Moura": "Carnegie Mellon University", "Dilip Krishnan": "Google", "Mateusz Malinowski": "DeepMind", "Kevin McKee": "DeepMind", "Anirudh Goyal ALIAS PARTH GOYAL": "Universit\u00e9 de Montr\u00e9al", "Denis Teplyashin": "DeepMind", "Arnab Bhattacharyya": "National University of Singapore & Indian Institute of Science", "Eran Segal": "Weizmann Institute of Science", "Tobias Pfaff": "DeepMind", "Qing Wang": "Tencent AI Lab", "Michael Morais": "Princeton University", "Yuchen Fan": "Image Formation and Processing (IFP) Group, University of Illinois at Urbana-Champaign", "Thomas Steinke": "IBM Research - Almaden", "Hao Li": "University of Maryland, Amazon AI", "Ofir Marom": "University of the Witwatersrand", "Raef Bassily": "The Ohio State University", "Xinfeng Xie": "UCSB", "Xingjian Zhen": "UW-Madison", "Thomas Huang": "UIUC", "Robert Schapire": "MIcrosoft Research", "Kagan Tumer": "Oregon State University US", "Yunhai Wang": "Shandong University", "Ozan \u00d6ktem": "KTH - Royal Institute of Technology", "Nicolas Macris": "EPFL", "Sergey Bartunov": "DeepMind", "Ilya Sutskever": "OpenAI", "Mingchao Yu": "University of Southern California", "Ziyu Wang": "Deepmind", "Manuel Gomez Rodriguez": "Max Planck Institute for Software Systems", "Nicolo Fusi": "Microsoft Research", "Jiangchao Yao": "Shanghai Jiao Tong University", "Yun Song": "UC Berkeley", "Jeffrey Spence": "UC Berkeley", "Russ Salakhutdinov": "Carnegie Mellon University", "Zhangyang Wang": "TAMU", "Sung Ju Hwang": "KAIST, AItrics", "Shaozhe Chen": "Dalian University of Technology", "Tina Zhu": "DeepMind", "Tyler Scott": "University of Colorado Boulder", "Lorenzo Stella": "Amazon", "Daniel Johnson": "Harvey Mudd College", "Sanjay Purushotham": "University of Maryland Baltimore County", "Jesse Zhang": "Stanford University", "Gabi Shalev": "Dept. of Computer Science, Bar-Ilan University", "Ralf Haefner": "Brain & Cognitive Sciences, University of Rochester", "Matthai Philipose": "Microsoft Research", "YI WU": "UC Berkeley", "Changshui Zhang": "Tsinghua University", "Min Wen": "University of Pennsylvania", "Benjamin Xiao": "Ant Financial", "Zhiding Yu": "NVIDIA", "Yixi Xu": "Purdue University", "Hyeji Kim": "Samsung AI Center Cambridge", "Xun Zhou": "University of Iowa", "Yifan Wang": "University of Washington", "Keith Anderson": "DeepMind", "Dmitri Chklovskii": "Flatiron Institute, Simons Foundation", "Yibo Yang": "Peking University", "Y. X. Rachel Wang": "University of Sydney", "David Sussillo": "Google Inc.", "Sumit Bam Shrestha": "Temasek Laboratories @ National University of Singapore", "Daniel Naiman": "Johns Hopkins University", "Prasanth Nair": "University of Toronto", "Stuart Russell": "UC Berkeley", "Yi Chen": "Northwestern University", "Pritish Kamath": "MIT", "Arnaud Doucet": "Oxford", "Francis Bach": "INRIA - Ecole Normale Superieure", "Soheil Feizi": "University of Maryland, College Park", "Didrik Nielsen": "DTU Compute", "Hippolyt Ritter": "University College London", "Lin Lin": "The Pennsylvania State University", "Xiyang Luo": "Google", "Tianyu Pang": "Tsinghua University", "Adarsh Prasad": "Carnegie Mellon University", "Terrance Boult": "University of Colorado Colorado Springs", "Shuyang Sun": "The University of Sydney", "Bhavya Kailkhura": "Lawrence Livermore National Lab", "Nadav Merlis": "Technion", "Xu Tan": "", "Antoine Maillard": "Ecole Normale Sup\u00e9rieure", "Elias Wang": "Stanford University", "Caswell Barry": "University College London", "Wei Chai": "Google Inc", "Xinjiang Wang": " SenseTime Group Ltd.", "Xinhua Zhang": "UIC", "Dawn Song": "UC Berkeley", "OpenAI Jonathan Ho": "OpenAI, UC Berkeley", "Jayadev Acharya": "Cornell University", "Ankit Shah": "Massachusetts Institute of Technology", "Weinan E": "Princeton University", "Leonidas J Guibas": "stanford.edu", "Ehsan Hajiramezanali": "Texas A&M University", "Robert Geirhos": "University of T\u00fcbingen", "Mahyar Najibi": "University of Maryland", "Mingyuan Zhou": "University of Texas at Austin", "Frederik Kunstner": "EPFL", "Andreas Krause": "ETHZ", "Lisa Amini": "IBM Research", "Yusuf Aytar": "DeepMind", "Vardan Papyan": "Stanford University", "Kurtland Chua": "UC Berkeley", "Sebastian Lunz": "University of Cambridge", "Wanli Ouyang": "The University of Sydney", "Sebastijan Dumancic": "KU LEUVEN", "Nan Jiang": "University of Illinois at Urbana-Champaign", "Zhongming Liu": "Purdue University", "Kwang Joon Kim": "Yonsei University College of Medicine", "Oriol Vinyals": "Google DeepMind", "Baoquan Chen": "Shandong University", "Dara Bahri": "Google AI", "James Wilson": "Imperial College of London", "Enlu Zhou": "Georgia Institute of Technology", "Rui Li": "Rochester Institute of Technology", "Alessandro Sordoni": "Microsoft Research Montreal", "Joon Kim": "Carnegie Mellon University", "Jacob Gardner": "Cornell University", "Gustavo Malkomes": "Washington University in St. Louis", "Kishan KC": "Rochester Institute of Technology", "Dominik Linzner": "TU Darmstadt", "Paul Hand": "Northeastern University", "Gautam Reddy": "University of California, San Diego", "Daniel Bear": "Stanford University", "Carola Schoenlieb": "Cambridge University", "Srinivas Aluru": "Georgia Institute of Technology", "Rex Yue Wu": "USC ISI", "Monami Banerjee": "University of Florida", "Aniket (Nick) Bajpai": "MIT", "Angelika Steger": "ETH Zurich", "Rosanne Liu": "Uber AI Labs", "Angela Yao": "University of Bonn", "Wonyong Sung": "Seoul National University", "Daan Wierstra": "DeepMind Technologies", "Jean-Philippe Vert": "Google", "Geoffrey E Hinton": "Google & University of Toronto", "Honglak Lee": "Google / U. Michigan", "Yuchen Xie": "Northwestern University", "Rafal Mantiuk": "University of Cambridge", "Justin Gilmer": "Google Brain", "Mike Chrzanowski": "DeepMind", "Alessandro Rudi": "INRIA, Ecole Normale Superieure", "Bob Price": "PARC", "Tommi Jaakkola": "MIT", "Yewen Pu": "MIT", "Pin-Yu Chen": "IBM Research AI", "Ju Xu": "Peking University", "Yong Guo": "South China University of Technology", "Shreyas Vasanawala": "Stanford University", "Aaron Mishkin": "University of British Columbia", "Zhengyang Wang": "Texas A&M University", "Zongpeng Li": "Wuhan University", "Jo\u00e3o Sacramento": "University of Bern", "Mark Schmidt": "University of British Columbia", "Swarat Chaudhuri": "Rice University", "Shiva Gopakumar": "Deakin University", "Doina Precup": "McGill University / DeepMind Montreal", "Maxim Raginsky": "University of Illinois at Urbana-Champaign", "Shichao Cheng": "Dalian University of Technology", "Vincent Dutordoir": "PROWLER.io", "Han Wang": "Institute of Applied Physics and Computational Mathematics", "Yu Zhang": "HKUST", "Matthias W Seeger": "Amazon Development Center", "David Meger": "University of British Columbia", "Nojun Kwak": "Seoul National University", "Stan Pashkovski": "harvard university", "Liuyi Yao": "State University of New York at Buffalo", "Mingyi Hong": "University of Minnesota", "David Crandall": "Indiana University", "Stephanie Wang": "Stanford University", "Melih Kandemir": "Bosch Center for Artificial Intelligence (BCAI)", "Yingbin Liang": "The Ohio State University", "Carlos Guestrin": "University of Washington", "Zilin Gao": "Dalian University of Technology", "Anqi Wu": "Princeton University", "Pierre-Alexandre Mattei": "ITU Copenhagen", "Guillaume Hennequin": "Cambridge", "Young-Jin Park": "KAIST", "Joao P Costeira": "Instituto Superior Tecnico VAT- 501507930", "Gregory Rosenblatt": "University of Alabama at Birmingham", "Risi Kondor": "U. Chicago", "Jialin Liu": "University of California, Los Angeles (UCLA)", "Mariano Tepper": "Intel Labs", "Saehoon Kim": "AITRICS", "Yunpeng Chen": "National University of Singapore", "Mohan Kankanhalli": "National University of Singapore,", "Lei Le": "Indiana University Bloomington", "Noam Shazeer": "Google", "Julien Mairal": "Inria", "Jianfeng Gao": "Microsoft Research, Redmond, WA", "Adithyavairavan Murali": "Carnegie Mellon University Robotics Institute", "Mona Meister": "Robert Bosch GmbH", "Taylor Berg-Kirkpatrick": "Carnegie Mellon University", "Sandeep Datta": "harvard university", "Yuan Li": "Duke University", "Nishant Desai": "UC Berkeley", "Ilya Shpitser": "Johns Hopkins University", "Shie Mannor": "Technion", "Eli Sherman": "Johns Hopkins University", "Zimu Zhou": "ETH Zurich", "Jonathan Scarlett": "National University of Singapore", "Genevi\u00e8ve Robin": "\u00c9cole Polytechnique", "Shuiwang Ji": "Texas A&M University", "Andre Barreto": "DeepMind", "Ron Weiss": "Google, Inc.", "Jacob Sacks": "Georgia Institute of Technology", "Zhilu Zhang": "Cornell University", "Muhan Zhang": "Washington University in St. Louis", "Wangmeng Zuo": "Harbin Institute of Technology", "Angelika Kimmig": "Cardiff University", "Gavin Gray": "University of Edinburgh", "Edouard Pauwels": "IRIT", "Emmanuel Abbe": "Princeton University", "Kwang Yi": "University of Victoria", "Liang-Chieh Chen": "Google Inc.", "Di Fu": "Purdue University", "Adam White": "University of Alberta; DeepMind", "Timothy Lillicrap": "Google DeepMind", "Anupam Datta": "Carnegie Mellon University", "Zhaopeng Meng": "School of Computer Software, Tianjin University", "Justin Chiu": "Harvard University", "Rui Ponte Costa": "Univeristy of Bern", "Matthew Might": "University of Alabama at Birmingham", "Iksoo Choi": "Seoul National University", "Ding Liu": "Bytedance AI Lab", "Satoshi Koide": "Toyota Central R&D Labs.", "Sankalp Garg": "Indian Institute of Technology Delhi", "Zhi-Hua Zhou": "Nanjing University", "Neil Houlsby": "Google", "Volker Fischer": "Robert Bosch GmbH, Bosch Center for Artificial Intelligence", "Xin Tao": "CUHK", "Jiacheng Chen": "Simon Fraser University", "Michael Muelly": "Google", "Yonathan Efroni": "Technion", "Lin Mei": "The Third Research Institute of Ministry of Public Security, China", "Sungryull Sohn": "University of Michigan", "Ilias Diakonikolas": "University of Southern California", "Ping Luo": "The Chinese University of Hong Kong", "Vincent Michalski": "Universit\u00e9 de Montr\u00e9al", "cassirer Cassirer": "DeepMind", "Timothy Muller": "University of Oxford", "Joni Dambre": "Ghent University", "Markus Kaiser": "Technical University Munich", "Ryan Adams": "Google Brain and Princeton University", "Gerald Tesauro": "IBM TJ Watson Research Center", "Jonathan Kadmon": "Stanford University", "ZF Chen": "Google Brain", "John Rogers-Lee": "NIMH", "Erick Cobos": "Baylor College of Medicine", "Andreas Tolias": "Baylor College of Medicine", "Jialin Mao": "New York University", "Alekh Agarwal": "Microsoft Research", "Shih-Yang Su": "Virginia Tech", "Arthur Jacot-Guillarmod": "EPFL", "Jiaxin Shi": "Tsinghua University", "Qiang Du": "Columbia University", "Kuan Han": "Purdue University", "Roei Herzig": "Tel Aviv University", "Alireza Karbalayghareh": "Texas A&M University", "Barbara Rakitsch": "Bosch Center for Artificial Intelligence", "Adam Kosiorek": "University of Oxford", "Ronny Huang": "UMCP and EY", "Yisong Yue": "Caltech", "Dimitris Tsipras": "MIT", "Nan Ke": "MILA, University of Montreal", "Xing Yan": "The Chinese University of Hong Kong", "Kimin Lee": "Korea Advanced Institute of Science and Technology", "Chengxu Zhuang": "Stanford University", "Prateek Jain": "Microsoft Research", "Manuel G\u00fcnther": "Vision and Security Technology Lab (VaST)", "peng sun": "Tencent AI Lab", "Maria Dimakopoulou": "Stanford University", "Andrew Zisserman": "DeepMind & University of Oxford", "Justin Whitehouse": "Columbia University", "Karl Tuyls": "DeepMind", "Eddie Yan": "university of washington", "Ti John": "PROWLER.io", "Shwetak Patel": "University of Washington", "Yoon Kim": "Harvard University", "Zeyuan Allen-Zhu": "Microsoft Research", "Po-Sen Huang": "Google DeepMind", "Aur\u00e9lien Garivier": "ENS Lyon", "Jianping Shi": "Sensetime Group Limited", "ziang Yan": "Automation Department, Tsinghua University", "Edward Chang": "", "Nevena Lazic": "Google", "Brian Ziebart": "University of Illinois at Chicago", "Shandian Zhe": "University of Utah", "Ching-An Cheng": "Georgia Tech", "Xundong Wu": "Hangzhou Dianzi University", "Kevin Scaman": "Huawei Technologies, Noah's Ark", "Jakub Kaczmarzyk": "MIT", "Roman Garnett": "Washington University in St. Louis", "kobbi Nissim": "Georgetown University", "Wei Zhang": "IBM T.J.Watson Research Center", "Benjamin Aubin": "Ipht Saclay", "Anna Thomas": "Stanford", "Liu Leqi": "Carnegie Mellon University", "Lei Deng": "UCSB", "Guy Koren": "Intel", "Yuntian Deng": "Harvard University", "Mike Gimelfarb": "University of Toronto", "Elias Bareinboim": "Purdue", "Uri Stemmer": "Ben-Gurion University", "Jan Kautz": "NVIDIA", "Neil Zeghidour": "Facebook A.I. Research / Ecole Normale Sup\u00e9rieure", "Tomoyuki Obuchi": "Tokyo Institute of Technology", "Afshin Oroojlooy": "Lehigh University", "Stephen Gould": "ANU", "Mike Wu": "Stanford University", "Rene Vidal": "Johns Hopkins University", "Bihan Wen": "University of Illinois at Urbana-Champaign", "Jeffrey Chan": "UC Berkeley", "Mark Johnson": "Macquarie University", "Aman Sinha": "Stanford University", "Liang Tang": " CASA Environmental Technology Co., Ltd and CASA EM&EW IOT Research Center", "Marcel A. J. van Gerven": "Radboud Universiteit", "Guo-Jun Qi": "Futurewei Technologies, Inc.", "Beomjoon Kim": "MIT", "Ben Huh": "MIT-IBM AI Center", "Richard E Turner": "University of Cambridge", "Wotao Yin": "University of California, Los Angeles", "Chao Zhang": "Peking University", "Patrick Le Callet": "\"Universite de Nantes, France\"", "Mathias Sabl\u00e9-Meyer": "MIT", "Justin Fu": "UC Berkeley", "Dmitrii Podoprikhin": "XTX markets", "Matthew Mirman": "ETH Zurich", "Gagan Agrawal": "Ohio State University", "Hongyu Ren": "Stanford University", "Emily Fox": "University of Washington", "Bart Selman": "Cornell University", "Amir Asadi": "Princeton University", "Arnu Pretorius": "Stellenbosch University", "Max Hinne": "University of Amsterdam", "Daniel Hsu": "Columbia University", "Michael Mitzenmacher": "Harvard University", "Tom Michoel": "University of Bergen", "Veronika Rockova": "University of Chicago", "Francesca Dominici": "Harvard University", "Lothar Thiele": "ETH Z\u00fcrich", "Josef Urban": "Czech Technical University in Prague", "Deli Zhao": "Xiaomi AI Lab", "Nils Bjorck": "Cornell", "Jie Gu": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences", "Kevin Bello": "Purdue University", "Honggang Zhang": "Beijing University of Posts and Telecommunications", "David Reeb": "Bosch Center for Artificial Intelligence (BCAI)", "Bradly Stadie": "Vector Institute", "Bo Dai": "Google Brain", "Cristian Sminchisescu": "LTH", "Garrick Orchard": "National University of Singapore", "Kibok Lee": "University of Michigan", "Han Liu": "Tencent AI Lab", "Jinshan Pan": "Nanjing University of Science and Technology", "Xiaoxiao Guo": "IBM Research", "Weizhong Zhang": "Zhejiang University", "Mauricio \u00c1lvarez": "University of Sheffield", "Jeremias Knoblauch": "Warwick University", "Takashi Ishida": "The University of Tokyo, RIKEN, SMAM", "Rudrasis Chakraborty": "University of Florida", "Vladlen Koltun": "Intel Labs", "John T Halloran": "University of California, Davis", "Farzan Farnia": "Stanford University", "geraldine Dawson": "Duke University", "Taylor Mordan": "Sorbonne Universit\u00e9, LIP6", "Quanming Yao": "4Paradigm", "Daniel Gorelik": "Harvey Mudd College", "Pratik Worah": "Google", "Feng Cui": "Rochester Institute of Technology", "jean barbier": "EPFL", "Risheng Liu": "Dalian University of Technology", "Yarin Gal": "University of OXford", "Maurizio Filippone": "EURECOM", "Mikael Johansson": "KTH - Royal Institute of Technology", "Utkarsh Upadhyay": "Max Plank Institute for Software Systems", "Soumik Sarkar": "Iowa State University", "Payel Das": "IBM Research", "Peng Jiang": "The Ohio State University", "Juho Lee": "University of Oxford", "Ramesh Raskar": "MIT", "Vasil Khalidov": "Facebook AI Research", "Xiaodong Cui": "IBM T. J. Watson Research Center", "Yasin Abbasi": "Adobe Research", "LIANHUI Qin": "", "Zachary Pitkow": "BCM/Rice", "Paul Vicol": "University of Toronto", "Ho Chung Law": "University of Oxford", "Eric Lee": "Cornell University", "Kamil Nar": "University of California, Berkeley", "Jaeho Lee": "University of Illinois at Urbana-Champaign", "Sreeram Kannan": "University of Washington", "John Duchi": "Stanford", "Satyen Kale": "Google", "Zixin Yao": "New York University", "Zhanhong Jiang": "Iowa State University", "Yang Lu": "University of Washington", "Haidar Khan": "Rensselaer Polytechnic Institute", "Devendra Sachan": "CMU", "Ron Banner": "Intel - Artificial Intelligence Products Group (AIPG)", "Daniel Cullina": "Princeton University", "Rynson Lau": "City University of Hong Kong", "Weihong Deng": "Beijing University of Posts and Telecommunications", "Andrew Trask": "DeepMind", "Mehryar Mohri": "Courant Inst. of Math. Sciences & Google Research", "Jonathan Ullman": "Northeastern University", "Fei Tian": "Miicrosoft Research", "Akihiko Torii": "Tokyo Institute of Technology, Japan", "Maneesh Sahani": "Gatsby Unit, UCL", "Zhuwen Li": "Intel Labs", "Matus Telgarsky": "UIUC", "Zhi Qu": "Xiaomi AI Lab", "Frank Wood": "University of British Columbia", "Mingsheng Hong": "google.com", "Mahdi Imani": "Texas A&M University", "Li Chen": "University of Louisiana at Lafayette", "Tanner Bohn": "Western University", "Remi Munos": "DeepMind", "Jiangtao Xie": "Dalian University of Technology", "Olexa Bilaniuk": "University of Montreal", "Huan Zhang": "UCLA", "Jeremy Morton": "Stanford University", "Jing Rong": "Alibaba", "Issei Sato": "The University of Tokyo/RIKEN", "Theo Damoulas": "University of Warwick The Alan Turing Institute", "qing wu": "Hangzhou Dianzi University", "Shirely Mark": "University College London", "Mike Mozer": "Google Brain / U. Colorado", "Hujun Yin": "University of Manchester ", "Yu-Ying Yeh": "University of California, San Diego", "Mohammad Ali Bashiri": "University of Illinois at Chicago", "Michael Jordan": "UC Berkeley", "Yang Liu": "Harvard University", "Andy Cotter": "Google", "David Duvenaud": "University of Toronto", "David Raposo": "DeepMind", "Emtiyaz Khan": "RIKEN, Tokyo", "Samuel Yeom": "Carnegie Mellon University", "Tsu-Jui Fu": "Academia Sinica", "xiaokun liu": "DUT", "Stuart Armstrong": "Oxford University", "Dan Sheldon": "University of Massachusetts Amherst", "Charles Zheng": "National Institute of Mental Health", "Andrew Wilson": "Cornell University", "Steve Kroon": "Stellenbosch University", "Boqing Gong": "Tencent AI Lab", "Romain WARLOP": "Inria", "Joel Lehman": "Uber AI Labs", "Sang Michael Xie": "Stanford University", "Linda Smith": "Indiana University", "Jiaxuan You": "Stanford University", "Yuqing Guo": "Microsoft Research", "Emmanouil Froudarakis": "Baylor College of Medicine", "Abhishek Gupta": "University of California, Berkeley", "Boris Hanin": "Texas A&M", "Michael Picheny": "IBM T. J. Watson Research Center", "Sarit Khirirat": "KTH Royal Institute of Technology", "Siddarth Srinivasan": "Georgia Institute of Technology", "Thomas Paine": "DeepMind", "Chengkai Zhang": "Massachusetts Institute of Technology", "Pradeep Ravikumar": "Carnegie Mellon University", "Hossein Mobahi": "Google Research", "Prashant Doshi": "University of Georgia", "Thomas Serre": "Brown University", "Patrick McClure": "NIH", "Katherine Battle": "University of Oxford", "Changhe Tu": "Shandong University", "Shupeng Su": "Peking University", "David Ha": "Google Brain", "Gary Becigneul": "ETH Z\u00fcrich & MPI T\u00fcbingen", "Lunjia Hu": "Stanford University", "Matthias Bauer": "Max Planck Institute for Intelligent Systems", "Guosheng Yin": "University of Hong Kong", "Ronny Luss": "IBM Research", "Zehong Hu": "Alibaba Group", "Rafael A Rodriguez": "Politecnico di Milano", "Aidong Zhang": "SUNY Buffalo", "Amir Globerson": "Tel Aviv University, Google", "Felix A. Wichmann": "University of T\u00fcbingen", "Melih Elibol": "UC Berkeley", "Oscar Leong": "Rice University", "Chang Liu": "Citadel", "Hongning Wang": "University of Virginia", "Joel Leibo": "DeepMind", "Ferenc Huszar": "Twitter", "Cho-Jui Hsieh": "UCLA, Google Research", "Quoc V Le": "Google", "Bo Zhang": "Tsinghua University", "Torsten Hoefler": "ETH Z\u00fcrich", "Carlton Downey": "Carnegie Mellon University", "Ying Wei": "Tencent AI Lab", "Shiyang Li": "University of California, Santa Barbara", "Bernie Wang": "AWS AI Labs", "Baba Vemuri": "University of Florida, USA", "Haifeng Shen": "AI Labs, Didi Chuxing", "Xiaoning Qian": "Texas A&M", "Xiulian Peng": "Microsoft Research", "Yining Wang": "CMU", "Sivaraman Balakrishnan": "Carnegie Mellon University", "James Decker": "Purdue University", "Sebastian Gerwinn": "Bosch Center for Artificial Intelligence", "Minhao Cheng": "University of California, Davis", "Qingyun Wu": "University of Virginia", "Yoonho Boo": "Seoul National University", "Justin Zhang": "Purdue University", "Karen Simonyan": "DeepMind", "Tao Chen": "Carnegie Mellon University", "Tor Lattimore": "DeepMind", "Yitong Li": "Duke University", "Sandeep Subramanian": "University of Montreal", "Sara Mathieson": "Swarthmore College", "Brandon Amos": "Carnegie Mellon University", "David Zoltowski": "Princeton University", "Oliver Wang": "Adobe Research", "Francisco Pereira": "National Institute of Mental Health", "Tam Le": "RIKEN AIP", "Brandon Tran": "Massachusetts Institute of Technology", "David Carlson": "Duke University", "Raksha Kumaraswamy": "University of Alberta", "Rui Luo": "University College London", "Jack Baker": "Lancaster University", "Bowei Yan": "Jump Trading", "Eugenio Culurciello": "FWDNXT", "Ben Kadlec": "Uber", "Mubarak Shah": "University of Central Florida", "Mayur Naik": "University of Pennsylvania", "Jinhui Zhu": "SCUT", "Charles Windolf": "Brown University", "Fabio Ramos": "University of Sydney", "Yaniv Gurwicz": "Intel AI Lab", "Jiechao Xiong": "Tencent AI Lab", "Zhewei Yao": "UC Berkeley", "Barret Zoph": "Google Brain", "Qiang Yang": "Hong Kong University of Science and Technology", "David Alvarez Melis": "MIT", "Yasuhiro Fujiwara": "NTT Software Innovation Center", "Ira Shavitt": "Weizmann Institute of Science", "Shai Ben-David": "Universitys of Waterloo", "Cezary Kaliszyk": "Innsbruck University", "Motoya Ohnishi": "Keio University/KTH Royal Institute of Technology/RIKEN", "Ge Yang": "Berkeley", "Nisheeth Vishnoi": "EPFL", "Vikas Singh": "UW-Madison", "Victor Lempitsky": "Samsung", "Youyang Zhang": "Tsinghua University", "Yan Wu": "DeepMind", "Shichen Liu": "Tsinghua University", "Jiashi Feng": "National University of Singapore", "Johannes Ball\u00e9": "Google", "Sid Reddy": "UC Berkeley", "L\u00e9onard Blier": "Ecole Normale Sup\u00e9rieure", "Wenyu Liu": "Peking University", "Jinwoo Shin": "KAIST; AITRICS", "Russell Mendonca": "UC Berkeley", "Fushing Hsieh": "UC Davis Department of Statistics", "Yinpeng Dong": "Tsinghua University", "Yonghong Tian": "Peking University", "Gal Dalal": "Technion", "Sifei Liu": "NVIDIA", "Junkyung Kim": "Brown University", "Makoto Yamada": "Kyoto University / RIKEN AIP", "Jimmy Ba": "University of Toronto / Vector Institute", "Eric Maris": "Donders Institute", "Hao Su": "UCSD", "Vu Nguyen": "Deakin University", "Huishuai Zhang": "Microsoft Research Asia", "Tudor Dumitras": "University of Maryland", "Ehsan Imani": "University of Alberta", "Xiaodan Liang": "Sun Yat-sen University", "Lucas Morales": "MIT", "Yao Li": "University of California, Davis", "Ian Goodfellow": "Google", "Raia Hadsell": "DeepMind", "Lily Weng": "MIT", "Sungjin Ahn": "Rutgers University", "Jaeseok Choi": "Seoul National University", "Lenka Zdeborov\u00e1": "CEA Saclay", "Haoye Dong": "Sun Yat-sen University", "Xiang Ren": "University of Southern California", "Kaiyi Ji": "The Ohio State University", "Tobias Pl\u00f6tz": "TU Darmstadt", "Peter A Bandettini": "National Institute of Mental Health", "Jason Lee": "University of Southern California", "Antonio Garc\u00eda Casta\u00f1eda": "DeepMind", "SHIMING XIANG": "Chinese Academy of Sciences, China", "Sashank Reddi": "Google", "Jian Li": "Institute of Information Engineering, CAS", "Heinz Koeppl": "Technische Universit\u00e4t Darmstadt", "Syama Sundar Rangapuram": "Amazon Research", "Sebastian Tschiatschek": "Microsoft Research", "Thanard Kurutach": "University of California Berkeley", "Clemens Otte": "Siemens", "Abdullah Rashwan": "University of Waterloo", "Svetha Venkatesh": "Deakin University", "Krzysztof Choromanski": "Google Brain Robotics", "Alistair Stewart": "University of Southern California", "Thomas Demeester": "Ghent University", "MohammadReza Nazari": "Lehigh University", "Clement Hongler": "EPFL", "Luca Daniel": "MIT", "Wen Sun": "Carnegie Mellon University", "Walter Stewart": "No Affiliation", "YuXuan Liu": "UC Berkeley", "Daniel J Mankowitz": "Technion", "Pierre Thodoroff": "McGill", "Chi Jin": "University of California, Berkeley", "Raanan Y. Rohekar": "Intel Corporation", "Blake Richards": "University of Toronto", "Liwei Wang": "Peking University", "Angela J Yu": "UC San Diego", "Arthur Gretton": "Gatsby Unit, UCL", "Bowen Liu": "Stanford University", "Zichao Yang": "", "Jiequn Han": "Princeton University", "Pascal Fua": "EPFL, Switzerland", "Bill Freeman": "MIT/Google", "Krishna Narra": "University Of Southern California", "Penporn Koanantakool": "Google", "Christoph Dann": "Carnegie Mellon University", "Syed Afaq Ali Shah": "Department of Computer Science and Software Engineering, The University of Western Australia", "Josh Tenenbaum": "MIT", "Tatsuro Kawamoto": "National Institute of Advanced Industrial Science and Technology", "Dan Alistarh": "IST Austria", "Yuan Xie": "UCSB", "Wael Abd-Almageed": "Information Sciences Institute", "Rajiv Khanna": "University of Texas at Austin", "Nicolas Carion": "Facebook AI Research Paris", "Shengfeng He": "South China University of Technology", "Nick Lord": "University of Oxford/FiveAI", "Lydia T. Liu": "University of California, Berk", "Dan Gant": "Facebook AI Research", "Antony Jameson": "Texas A&M University", "Yu-Shao Peng": "HTC Research", "Ronald Yu": "UCSD", "Lionel Gueguen": "UBER", "Sanjiv Kumar": "Google Research", "Shiqi Wang": "Columbia University", "Michele Donini": "Istituto Italiano di Tecnologia ", "Daniel Brand": "IBM Research", "Alexander Ecker": "University of Tuebingen", "Shuichi Adachi": "Keio University", "Ran He": "NLPR, CASIA", "David Barber": "University College London", "Sean Welleck": "NYU", "Blake Hechtman": "Google", "Etai Littwin": "Apple", "Mingkui Tan": "South China University of Technology", "Arno Solin": "Aalto University", "Mark van der Wilk": "PROWLER.io", "Rico Angell": "University of Massachusetts", "Christoph Zimmer": "Bosch Center for Artificial Intelligence", "Masashi Sugiyama": "RIKEN / University of Tokyo", "Yi Qi": "Tsinghua University", "Yongkang Wong": "National University of Singapore", "Dacheng Tao": "University of Technology, Sydney", "Gianluca Francini": "Telecom Italia", "Karl Moritz Hermann": "DeepMind", "Ananda Theertha Suresh": "Google", "Sungwoong Kim": "Kakao Brain", "Hendrick de Haan": "University of Ontario Institute of Technology", "Amir Gholami": "University of California, Berkeley", "Martha White": "University of Alberta", "Michael Bowling": "DeepMind / University of Alberta", "Moshiko Raboh": "Tel Aviv University", "Ye Jia": "Google", "Florian Schroff": "Google Inc., Venice, CA", "Oren Mangoubi": "EPFL", "Masahiro Yukawa": "Keio University", "Richard Shin": "UC Berkeley", "Seyede Fatemeh Ghoreishi": "Texas A&M University", "Chen Change Loy": "Nanyang Technological University", "Hua Zhang": "Institute of Information Engineering,Chinese Academy of Sciences", "Chongjie Zhang": "Tsinghua University", "Cheng Soon Ong": "Data61 and ANU", "Scott Reed": "Google DeepMind", "Paul Jenkins": "University of Warwick", "Yair Weiss": "Hebrew University", "Lap-Pui Chau": "Nanyang Technological University", "Kee-Eung Kim": "KAIST", "Andrei Zanfir": "Institute of Mathematics of the Romanian Academy", "Yuki Yamanaka": "NTT Secure Platform Laboratories", "Jose Miguel Hern\u00e1ndez-Lobato": "University of Cambridge", "Lincoln Ye": "University of Cambridge", "Zijun Zhang": "University of Calgary", "Alessandro Lazaric": "INRIA", "Venkatadheeraj Pichapati": "UC San Diego", "Shuai Yi": "SenseTime Group Limited", "Rishit Sheth": "Microsoft Research New England", "Shanghang Zhang": "Carnegie Mellon University", "Manik Varma": "Microsoft Research India", "Iryna Korshunova": "Ghent University", "Jing Liu": "South China University of Technology", "Shixiang (Shane) Gu": "Google Brain, University of Cambridge", "David Vaillancourt": "University of Florida", "Bo Zeng": "pitt", "Jinman Zhao": "University of Wisconsin-Madison", "Yasen Zhang": "Xiaomi AI Lab", "Lin Ma": "Tencent AI Lab", "Junzhou Huang": "University of Texas at Arlington / Tencent AI Lab", "Ole Winther": "Technical University of Denmark", "Morteza Mardani": "Stanford University", "Mark Elliot": "University of Manchester", "Xun Zheng": "Carnegie Mellon University", "Pascal Libuschewski": "TU Dortmund", "Sabyasachi Shivkumar": "University of Rochester", "Jianshu Chen": "Tencent AI Lab", "Tri Dao": "Stanford University", "Kuang Xu": "Stanford Graduate School of Business", "Tim Behrens": "University of Oxford", "Leslie Kaelbling": "MIT", "Sai Rajeswar Mudumba": "University of Montreal", "Kevin Regan": "Google", "Kurt Keutzer": "EECS, UC Berkeley", "Albert Gu": "Stanford", "Amir Dezfouli": "UNSW, Sydney", "Phil Blunsom": "DeepMind and Oxford University", "Chris Dyer": "DeepMind", "Youlong Cheng": "Google", "Chris C Holmes": "University of Oxford", "Wenbo Guo": "Pennsylvania State University", "Piero Molino": "Uber AI Labs", "Samy Bengio": "Google Brain", "Kevin Canini": "Google", "Dustin Tran": "Google Brain", "Bao Wang": "UCLA", "Baocai Yin Yin": "Dalian University of Technology", "Itay Hubara": "Technion", "Daan Wynen": "INRIA", "Sven Bambach": "The Research Institute at Nationwide Children's Hospital", "Adam Smith": "Boston University", "Mojmir Mutny": "ETH Zurich", "Heinrich Jiang": "Google Research", "Yinlam Chow": "DeepMind", "Matthew MacKay": "University of Toronto", "Maosong Sun": "", "David Minnen": "Google", "Shaogang Gong": "Queen Mary University of London", "Markus Lange-Hegermann": "Hochschule Ostwestfalen-Lippe", "Rudy Bunel": "Oxford University", "Pavel Izmailov": "Cornell University", "Nicolas THOME": "Cnam", "Yu-Jung Heo": "Seoul National University", "Mark Gales": "University of Cambridge", "Wouter Koolen": "Centrum Wiskunde & Informatica, Amsterdam", "Changjie Fan": "Netease", "Grant Rotskoff": "New York University", "Richard Berk": "", "Yunchao Wei": "UIUC", "Dongho Kim": "PROWLER.io", "Zhiting Hu": "Carnegie Mellon University", "Giulia Luise": "University College London", "Ricson Cheng": "Carnegie Mellon University", "Andrew Ilyas": "MIT", "Maya Gupta": "Google", "Constantinos Daskalakis": "MIT", "Jun Zhu": "Tsinghua University", "Enzo Tartaglione": "Politecnico di Torino", "Richard Lange": "University of Rochester", "Nick Haber": "Stanford University", "Gregory Wornell": "MIT", "Jian Su": "I2R, Singapore", "Leonid Karlinsky": "IBM-Research", "Jonas Rauber": "University of T\u00fcbingen", "Wei Liu": "Tencent AI Lab", "Shaw Khadka": "Oregon State University", "Ariel Shann": "University of British Columbia", "Abhradeep Guha Thakurta": "University of California Santa Cruz", "Guocong Song": "Playground Global", "Sheng Li": "University of Georgia", "Xin Zhang": "Massachusetts Institute of Technology", "Shen Li": "MIT", "John Langford": "Microsoft Research New York", "Nam Sung Kim": "University of Illinois at Urbana-Champaign", "Raymond Li": "Polytechnique Montr\u00e9al", "Suman Jana": "Columbia University", "Yu Gai": "New York University", "Imanol Schlag": "IDSIA", "Liang Zhang": "School of Computer Science and Technology, Xidian University, China", "Arun Suggala": "Carnegie Mellon University", "Ya\u011fmur G\u00fc\u00e7l\u00fct\u00fcrk": "Donders Institute for Brain, Cognition and Behaviour, Radboud University", "Tsinghua University CAO": "Stanford University", "James Hensman": "PROWLER.io", "Simo Sarkka": "Aalto University", "Matthew Phillips": "DeepMind", "Roger Grosse": "University of Toronto", "Jianlong Chang": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences", "Ethan Fetaya": "University of Toronto", "Dimitrios Milios": "EURECOM", "Joshua Fromm": "University of Washington", "Shiyu Chang": "IBM T.J. Watson Research Center", "Se Young Chun": "UNIST", "Alex Botev": "University College London", "Maxwell Collins": "Google Inc.", "Zhuangwei Zhuang": "SCUT", "Han Zhao": "Carnegie Mellon University", "Thomas Runkler": "Technical University of Munich", "Marc Lanctot": "DeepMind", "jaslanides Aslanides": "DeepMind", "Shankar Sastry": "Department of EECS, UC Berkeley", "Ayush Jaiswal": "USC Information Sciences Institute", "Tongzhou Wang": "Facebook AI Research", "Eric Wong": "Carnegie Mellon University", "Luca Ambrogioni": "Donders Institute", "Richard Nock": "Data61, the Australian National University and the University of Sydney", "Luigi Carratino": "University of Genoa", "Dalin Guo": "UC San Diego", "Chao Du": "Tsinghua University", "Golnaz Ghiasi": "Google", "Carl Henrik Ek": "University of Bristol", "Keisuke Kawano": "Toyota Central R&D Labs., Inc", "Carla P Gomes": "Cornell University", "Zhen Li": "Hong Kong University of Science & Technology", "Jiaya Jia": "CUHK", "Derek Archer": "University of Florida", "Qi Zhao": "University of Minnesota", "Takuro Kutsuna": "Toyota Central R&D Labs. Inc.", "Wray Buntine": "Monash University", "Geoffrey Gordon": "MSR Montr\u00e9al & CMU", "Qiaomin Xie": "Massachusetts Institute of Technology", "Peter Anderson": "Georgia Tech", "Dan Hendrycks": "UC Berkeley", "Max Welling": "University of Amsterdam / Qualcomm AI Research", "Zhenan Sun": "Institute of Automation, Chinese Academy of Sciences (CASIA)", "Jing Gao": "University at Buffalo", "Ji Feng": "Nanjing University & Sinovation Ventures AI Institute", "Siu Cheung Hui": "Nanyang Technological University", "Michael Teng": "University of Oxford (visiting at University of British Columbia)", "Yu Cheng": "Duke University", "Renjie Liao": "University of Toronto", "Kohitij Kar": "MIT", "Liang Lin": "Sun Yat-Sen University", "Avital Oliver": "Google Brain", "Otkrist Gupta": "MIT", "Jaesik Yoon": "SAP", "George Trimponias": "Huawei Technologies Co., Ltd.", "Soumendu Sundar Mukherjee": "University of California, Berkeley", "Arjun Nitin Bhagoji": "Princeton University", "Jonas Degrave": "Deepmind", "Kenji Fukumizu": "Institute of Statistical Mathematics", "Jinhui Tang": "Nanjing University of Science and Technology", "Lizhong Ding": "KAUST", "Jung-Su Ha": "KAIST", "Bartosz Zieli\u0144ski": "Jagiellonian University", "Mircea Cimpoi": "CIIRC, CTU Prague", "Lior Wolf": "Facebook AI Research", "Eunho Yang": "Korea Advanced Institute of Science and Technology; AItrics", "Karen Feng": "Princeton University", "Om Thakkar": "Boston University", "Marylou Gabri\u00e9": "\u00c9cole Normale Sup\u00e9rieure", "Qi Lei": "Institute for Computational Engineering and Sciences, University of Texas at Austin", "Zhuoran Yang": "Princeton University", "Adi Wyner": "University of Pennsylvania", "Matthew Abbott": "Washington University in St. Louis", "Luc De Raedt": "KU Leuven", "Laurent Orseau": "DeepMind", "Dimitri Yatsenko": "Baylor College of Medicine", "PengTao Jiang": "Nankai University", "Jie Hu": "Momenta", "Jay Heo": "UNIST", "Andrea Vedaldi": "University of Oxford and Facebook", "Diana Cai": "Princeton University", "Franck Gabriel": "EPFL", "Markus P\u00fcschel": "ETH Zurich", "Attilio Fiandrotti": "POLITO", "Bruno Scherrer": "INRIA", "Zhisheng Zhong": "Peking University", "Duy Nguyen-Tuong": "Bosch Center for AI", "John Shawe-Taylor": "UCL", "Jinwei Gu": "NVIDIA Research", "Ulas Ayaz": "Massachusetts Institute of Technology / Lyft", "Guangrun Wang": "Sun Yat-sen University", "Colin A Raffel": "Google Brain Resident", "Paul Fahey": "Bayl", "J\u00fcrgen Schmidhuber": "Swiss AI Lab, IDSIA (USI & SUPSI) - NNAISENSE", "Matthias Fey": "TU Dortmund", "David Budden": "DeepMind", "Yitan Li": "ByteDance.Inc", "Kelsey Allen": "MIT", "Elliot J. Crowley": "University of Edinburgh", "Augustus Odena": "Google Brain", "Paraschos Koutris": "University of Wisconsin-Madison", "Paul Fearnhead": "Lancaster University", "Shannon McCurdy": "Ancestry", "Peter Chen": "covariant.ai", "Cordelia Schmid": "Inria / Google", "Yao Xie": "Georgia Institute of Technology", "Luigi Acerbi": "University of Geneva", "Alexandre Proutiere": "KTH", "Yukun Zhu": "Google", "Richard Morris": "U Sydney", "Iain Dunning": "DeepMind", "Katerina Fragkiadaki": "Carnegie Mellon University", "Jiaming Song": "Stanford University", "Wei-Shou Hsu": "University of Waterloo", "Lianmin Zheng": "Shanghai Jiaotong University", "Maithra Raghu": "Cornell University and Google Brain", "Yee Whye Teh": "University of Oxford, DeepMind", "Dorsa Sadigh": "Stanford", "Bernard Balleine": "UNSW", "Sertac Karaman": "MIT", "Stuart J Russell": "UC Berkeley", "Mingsheng Long": "Tsinghua University", "Asier Mujika": "ETH Zurich", "Michel Deudon": "Ecole Polytechnique", "John Pauly": "Stanford University", "Jacob Buckman": "Johns Hopkins University", "Xiaochun Cao": "Chinese Academy of Sciences", "Nando de Freitas": "DeepMind", "Shi Dong": "Stanford University", "Ke Xu": "Dalian University of Technology;City University of Hong Kong", "Hongyi Wang": "University of Wisconsin-Madison", "Junhyuk Oh": "DeepMind", "Andrea Gesmundo": "Google", "Chao Xu": "Peking University", "Charles Sutton": "Google", "Dong Wang": "Duke University", "Armando Solar-Lezama": "MIT", "Fran\u00e7ois Fleuret": "Idiap Research Institute", "Yihong Wu": "Yale University", "Alex Sergeev": "Uber Technologies Inc,", "Lixin Liu": "SCUT", "Luke Marris": "DeepMind", "Yue Wu": "Peking University", "Atri Rudra": "University at Buffalo, SUNY", "Joe Marino": "California Institute of Technology", "Ankani Chattoraj": "University of Rochester", "He Zhao": "Monash University, Australia", "Ian En-Hsu Yen": "Carnegie Mellon University", "Fangchang Ma": "MIT", "Jacek Tabor": "Jagiellonian University", "Mingrui Liu": "The University of Iowa", "Emilie Kaufmann": "CNRS & CRIStAL (SequeL)", "Stephen Walker": "University of Texas at Austin", "Marcello Restelli": "Politecnico di Milano", "Renqian Luo": "University of Science and Technology of China", "Fei Sha": "University of Southern California (USC)", "Karol Gregor": "DeepMind", "Xiaoyong Shen": "CUHK", "Salman Avestimehr": "University of Southern California", "Rodolphe Jenatton": "Amazon Research", "Yingxiang Yang": "University of Illinois at Urbana Champaign", "Yiran Chen": "Duke University", "Octavian Suciu": "University of Maryland", "James J DiCarlo": "Massachusetts Institute of Technology", "Jameson Weng": "University of Waterloo", "Ross E Mawhorter": "Harvey Mudd College", "Abhimanyu Dubey": "MIT", "Benjamin Van Roy": "Stanford University", "Aditya Kusupati": "Microsoft Research India", "Phillip Isola": "OpenAI", "nicholas polson": "Chicago Booth", "Garrett Bernstein": "University of Massachusetts Amherst", "Yibo Hu": "Institute of Automation, Chinese Academy of Sciences", "Binghui Chen": "Beijing University of Posts and Telecommunications", "Songze Li": "University of Southern California", "Gunnar Raetsch": "ETHZ", "Chaosheng Dong": "University of Pittsburgh", "Dimitrios Papailiopoulos": "UW-Madison", "Yixin Chen": "Washington University in St. Louis", "Donghoon Lee": "Seoul National University", "Xin Yang": "Dalian University of Technology", "Scott Sanner": "University of Toronto", "Julie A Shah": "MIT", "Surya Ganguli": "Stanford", "Cliff Young": "google.com", "Guoqi Li": "Tsinghua University", "Nicol\u00f2 Colombo": "University College London", "Ruiqin Xiong": "Peking University", "Shunyu Yao": "Tsinghua University", "Jonathan Shen": "Google", "Simon Lyddon": "University of Oxford", "Terrence J Sejnowski": "Salk Institute", "Zhouchen Lin": "Peking University", "Barnabas Poczos": "Carnegie Mellon University", "Matthew O'Kelly": "University of Pennsylvania", "Long Ma": "School of Software Technology, Dalian University of Technology", "Peter Hawkins": "google.com", "Thierry Moreau": "university of washington", "Alexandre Defossez": "Facebook", "Hao Zhou": "Bytedance AI Lab", "Valerio Perrone": "University of Warwick", "Jan Hendrik Metzen": "Robert Bosch GmbH", "Yossi Keshet": "Bar-Ilan University", "Yingying Fan": "University of Southern California", "Frank Noe": "FU Berlin", "Rein Houthooft": "Happy Elements", "Catherine Wong": "MIT", "Josip Djolonga": "Google Brain", "Tamas Sarlos": "Google Research", "Jan Gasthaus": "Amazon.com", "Francesco Faccio": "Politecnico di Milano - The Swiss AI Lab, IDSIA (USI & SUPSI)", "Yan Duan": "UC Berkeley", "wei li": "Hangzhou Dianzi University", "Hatef Monajemi": "Stanford University", "Sungho Shin": "Seoul National University", "Wolfgang Maass": "Graz University of Technology", "Mausam ": "IIT Dehli", "Weiping Wang": "Institute of Information Engineering, CAS, China", "Yiwen Guo": "Intel Labs China", "Yifeng Lu": "", "Suiyi Ling": "universit\u00e9 de nantes", "Lingfeng Wang": "Institute of Automation, Chinese Academy of Sciences", "Haitham Bou Ammar": "PROWLER.io", "Edward Smith": "McGill University", "Harsh Shrivastava": "Georgia Institute of Technology", "Yan Liu": "DiDi AI Labs", "Pramod Viswanath": "UIUC", "Purnamrita Sarkar": "UT Austin", "Dilin Wang": "UT Austin", "Florian Meier": "ETH Zurich", "Baochun Li": "University of Toronto", "Peter Dayan": "Gatsby Unit, UCL", "Harry Hsu": "MIT", "Yuki Ono": "SONY", "Vashisht Madhavan": "Uber", "Prem Natarajan": "USC ISI", "Sebastian Flennerhag": "Alan Turing Institute", "Anton Ivanov": "EPFL", "David Tse": "Stanford University", "Zhifeng Lin": "University of Southern California", "Kevin Smith": "MIT", "Kevin Fujii": "UC Davis Department of Statistics", "John Yang": "Seoul National University", "Jonathan Tompson": "Google Brain", "Vitaly Kuznetsov": "Google", "Itay Golan": "Technion", "Qiang Liu": "UT Austin", "Linfeng Zhang": "Princeton University", "Yaoliang Yu": "University of Waterloo", "Anca Dragan": "UC Berkeley", "Charles Ling": "University of Western Ontario", "Shuicheng Yan": "National University of Singapore", "Jie Cao": "Center for Research on Intelligent Perception and Computing (CRIPAC) at Institute of Automation, Chinese Academy of Sciences.", "Rogerio Feris": "IBM Research AI", "Toni Karvonen": "Aalto University", "Mukund Raghothaman": "University of Pennsylvania", "Dino Sejdinovic": "University of Oxford", "Daniel Kane": "UCSD", "Julie Josse": "\u00c9cole Polytechnique", "Byron Boots": "Georgia Tech / Google Brain", "Nuno Nvasconcelos": "UC San Diego", "Jes Frellsen": "IT University of Copenhagen", "Xiyu Zhai": "MIT", "Hanpeng Liu": "University of Southern California", "Filip Wolski": "OpenAI", "Woody Zhu Zhu": "Georgia Institute of Technology", "MK Ryu": "Google", "Jacob Reimer": "Baylor College of Medicine", "Xin Fan": "Dalian University of Technology", "Pablo Moreno-Mu\u00f1oz": "Universidad Carlos III de Madrid", "Eduard Trulls": "EPFL", "Volkan Cevher": "EPFL", "Bohan Zhuang": "The University of Adelaide", "Tuo Zhao": "Georgia Tech", "Sunil Gupta": "Deakin University", "fabee Sinz": "University T\u00fcbingen", "Steven Xing": "Intel Corporation", "Ashish Khetan": "Amazon AI Labs", "Elan van Biljon": "Stellenbosch University", "Murtaza Dalal": "University of California, Berkeley", "Carlo Ciliberto": "Imperial College London", "Le Song": "Ant Financial & Georgia Institute of Technology", "Robert Wang": "Aeryon Labs", "Elisabeta Marinoiu": "IMAR", "Cengiz Pehlevan": "Flatiron Institute", "Nicolas Usunier": "Facebook AI Research", "Noah Goodman": "Stanford University", "Yibing Song": "Tencent AI Lab", "Kun He": "Hua Zhong University of Science and Technology", "Dave Moore": "Google", "Yucen Luo": "Tsinghua University", "Josef Sivic": "Inria and Czech Technical University", "Mark Rowland": "University of Cambridge", "Zolt\u00e1n T\u00fcske": "IBM T. J. Watson Research Center", "Abhishek Kumar": "IBM Research AI", "Hado van Hasselt": "DeepMind", "Adrian Weller": "University of Cambridge", "Arianna Yuan": "Stanford University", "Guillaume Bellec": "Graz University of Technology", "Luis Ceze": "University of Washington", "Cl\u00e9ment Luneau": "\u00c9cole Polytechnique de Lausanne", "Antonio Art\u00e9s": "Universidad Carlos III de Madrid", "Peng Li": "Texas A&M University", "Abhinav Gupta": "Facebook AI Research/CMU", "Raphael Koster": "DeepMind", "Aleksander Madry": "MIT", "Partha Mitra": "Cold Spring Harbor Laboratory", "Heather Roff": "DeepMind", "Sui Huang": "Netflix", "Eric Vanden-Eijnden": "New York University", "Jason Yosinski": "Uber AI Labs; Recursion", "Ozan Sener": "Intel Labs", "Mohammad Ghavamzadeh": "FaceBook FAIR", "HyoukJoong Lee": "Google", "Qingyao Wu": "South China University of Technology", "Chi-Guhn Lee": "University of Toronto", "Bulent Yener": "Rensselaer Polytechnic Institute (RPI)", "Yunhe Wang": "Noah\u2019s Ark Laboratory, Huawei Technologies Co., Ltd.", "Marta Avalos": "INRIA, INSERM U1219, University of Bordeaux", "Akshay Krishnamurthy": "Microsoft", "Princeton Zhaoran Wang": "Princeton, Phd student", "CHEN LIN": "Sun Yat-sen University", "Jinchi Lv": "University of Southern California", "Raquel Urtasun": "University of Toronto", "Zhang-Wei Hong": "National Tsing Hua University", "Hyeonseob Nam": "Lunit Inc.", "Saravanan Kandasamy": "Tata Institute of Fundamental Research", "Ashish Kumar": "UC Berkeley", "Zhiwei Deng": "Simon Fraser University", "Wei Cao": "Tsinghua University", "Danijar Hafner": "Google Brain & UCL", "Yi Tay": "Nanyang Technological University", "Binz Roy": "Google", "Ilija Bogunovic": "EPFL Lausanne", "Ya Zhang": "Cooperative Medianet Innovation Center, Shang hai Jiao Tong University", "Shashank Shivkumar": "University of Pennsylvania", "Theophane Weber": "DeepMind", "Dongsheng Wang": "Tsinghua University", "Alex Schwing": "University of Illinois at Urbana-Champaign", "Christopher Morris": "TU Dortmund University", "Mohammad Norouzi": "Google Brain", "Miao Xu": "RIKEN AIP", "Laurent Charlin": "MILA / U.Montreal", "Andrea Tirinzoni": "Politecnico di Milano", "Jing LI": "University of Nantes, LS2N lab", "Anand Subramoney": "Graz University of Technology", "Ke Sun": "Data61, CSIRO", "Thomas Hofmann": "ETH Zurich", "Razvan Pascanu": "Google DeepMind", "Tao Qin": "Microsoft Research", "Shi Pu": "Beijing University of Posts and Telecommunications", "J. Zico Kolter": "Carnegie Mellon University / Bosch Center for AI", "Demi Guo": "Harvard", "Rowan McAllister": "UC Berkeley", "Chun-Yi Lee": "National Tsing Hua University", "Sekitoshi Kanai": "NTT, Keio University", "Mohammed Bennamoun": "University of Western Australia", "Raffaello Camoriano": "Istituto Italiano di Tecnologia", "Juan Jos\u00e9 Murillo-Fuentes": "Universidad de Sevilla", "Florent Krzakala": "\u00c9cole Normale Sup\u00e9rieure", "Yonghui Wu": "Google", "Wu Wei": "Sensetime", "Jangho Kim": "Seoul National University", "Wissam Saidi": "University of Pittsburgh", "John Hopcroft": "Cornell University", "Samuel Albanie": "Oxford University", "Weiqing Gu": "Harvey Mudd College", "Byoung-Tak Zhang": "Seoul National University & Surromind Robotics"}]