nips2020.md

NeurIPS2020

• Seongmin Ok. "A graph similarity for deep learning" | [Home Page] | [PDF]

• Sangnie Bhardwaj, Ian Fischer, Johannes Ballé, Troy Chinen. "An Unsupervised Information-Theoretic Perceptual Quality Metric" | [Home Page] | [PDF]

• Jean-Baptiste Alayrac, Adria Recasens, Rosalia Schneider, Relja Arandjelović, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman. "Self-Supervised MultiModal Versatile Networks" | [Home Page] | [PDF]

• Simiao Ren, Willie Padilla, Jordan Malof. "Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method" | [Home Page] | [PDF]

• Masatoshi Uehara, Masahiro Kato, Shota Yasui. "Off-Policy Evaluation and Learning for External Validity under a Covariate Shift" | [Home Page] | [PDF]

• Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Russ R. Salakhutdinov. "Neural Methods for Point-wise Dependency Estimation" | [Home Page] | [PDF]

• Oleksandr Shchur, Nicholas Gao, Marin Biloš, Stephan Günnemann. "Fast and Flexible Temporal Point Processes with Triangular Maps" | [Home Page] | [PDF]

• Yiwen Guo, Qizhang Li, Hao Chen. "Backpropagating Linearly Improves Transferability of Adversarial Examples" | [Home Page] | [PDF]

• Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc Le. "PyGlove: Symbolic Programming for Automated Machine Learning" | [Home Page] | [PDF]

• Tamas Erdelyi, Cameron Musco, Christopher Musco. "Fourier Sparse Leverage Scores and Approximate Kernel Learning" | [Home Page] | [PDF]

• Nicholas Harvey, Christopher Liaw, Tasuku Soma. "Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds" | [Home Page] | [PDF]

• Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matthew Craddock, Laurent Charlin, David Vázquez. "Synbols: Probing Learning Algorithms with Synthetic Datasets" | [Home Page] | [PDF]

• Avinatan Hasidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer. "Adversarially Robust Streaming Algorithms via Differential Privacy" | [Home Page] | [PDF]

• Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong. "Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering" | [Home Page] | [PDF]

• Yuntian Deng, Alexander Rush. "Cascaded Text Generation with Markov Transformers" | [Home Page] | [PDF]

• Shib Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Li, Andrew McCallum. "Improving Local Identifiability in Probabilistic Box Embeddings" | [Home Page] | [PDF]

• Ryan McKenna, Daniel R. Sheldon. "Permute-and-Flip: A new mechanism for differentially private selection" | [Home Page] | [PDF]

• William Gilpin. "Deep reconstruction of strange attractors from time series" | [Home Page] | [PDF]

• Shengxi Li, Zeyang Yu, Min Xiang, Danilo Mandic. "Reciprocal Adversarial Learning via Characteristic Functions" | [Home Page] | [PDF]

• Jiexin Duan, Xingye Qiao, Guang Cheng. "Statistical Guarantees of Distributed Nearest Neighbor Classification" | [Home Page] | [PDF]

• Mao Ye, Tongzheng Ren, Qiang Liu. "Stein Self-Repulsive Dynamics: Benefits From Past Samples" | [Home Page] | [PDF]

• Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini. "The Statistical Complexity of Early-Stopped Mirror Descent" | [Home Page] | [PDF]

• Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera. "Algorithmic recourse under imperfect causal knowledge: a probabilistic approach" | [Home Page] | [PDF]

• Valentin De Bortoli, Alain Durmus, Xavier Fontaine, Umut Simsekli. "Quantitative Propagation of Chaos for SGD in Wide Neural Networks" | [Home Page] | [PDF]

• Cheng Zhang, Kun Zhang, Yingzhen Li. "A Causal View on Robustness of Neural Networks" | [Home Page] | [PDF]

• Santiago Mazuelas, Andrea Zanoni, Aritz Pérez. "Minimax Classification with 0-1 Loss and Performance Guarantees" | [Home Page] | [PDF]

• Pierluca D'Oro, Wojciech Jaśkowski. "How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization" | [Home Page] | [PDF]

• Lingxiao Huang, K Sudhir, Nisheeth Vishnoi. "Coresets for Regressions with Panel Data" | [Home Page] | [PDF]

• Alex Beatson, Jordan Ash, Geoffrey Roeder, Tianju Xue, Ryan P. Adams. "Learning Composable Energy Surrogates for PDE Order Reduction" | [Home Page] | [PDF]

• Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins. "Efficient Contextual Bandits with Continuous Actions" | [Home Page] | [PDF]

• Yaniv Romano, Stephen Bates, Emmanuel Candes. "Achieving Equalized Odds by Resampling Sensitive Attributes" | [Home Page] | [PDF]

• Wenhao Luo, Wen Sun, Ashish Kapoor. "Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates" | [Home Page] | [PDF]

• Pierre-Cyril Aubin-Frankowski, Zoltan Szabo. "Hard Shape-Constrained Kernel Machines" | [Home Page] | [PDF]

• JIAXIN CHEN, Xiao-Ming Wu, Yanke Li, Qimai LI, Li-Ming Zhan, Fu-lai Chung. "A Closer Look at the Training Strategy for Modern Meta-Learning" | [Home Page] | [PDF]

• Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel. "On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law" | [Home Page] | [PDF]

• Ayman Boustati, Omer Deniz Akyildiz, Theodoros Damoulas, Adam Johansen. "Generalised Bayesian Filtering via Sequential Monte Carlo" | [Home Page] | [PDF]

• Kai Han, zongmai Cao, Shuang Cui, Benwei Wu. "Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time" | [Home Page] | [PDF]

• Johann Brehmer, Kyle Cranmer. "Flows for simultaneous manifold learning and density estimation" | [Home Page] | [PDF]

• Austin Xu, Mark Davenport. "Simultaneous Preference and Metric Learning from Paired Comparisons" | [Home Page] | [PDF]

• Jincheng Bai, Qifan Song, Guang Cheng. "Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee" | [Home Page] | [PDF]

• Yufan Zhou, Changyou Chen, Jinhui Xu. "Learning Manifold Implicitly via Explicit Heat-Kernel Learning" | [Home Page] | [PDF]

• Chaojie Wang, Hao Zhang, Bo Chen, Dongsheng Wang, Zhengjue Wang, Mingyuan Zhou. "Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network" | [Home Page] | [PDF]

• Hengtong Hu, Lingxi Xie, Zewei Du, Richang Hong, Qi Tian. "One-bit Supervision for Image Classification" | [Home Page] | [PDF]

• Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang. "What is being transferred in transfer learning?" | [Home Page] | [PDF]

• Ashwinkumar Badanidiyuru, Amin Karbasi, Ehsan Kazemi, Jan Vondrak. "Submodular Maximization Through Barrier Functions" | [Home Page] | [PDF]

• Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan Nguyen, Doris Tsao, Anima Anandkumar. "Neural Networks with Recurrent Generative Feedback" | [Home Page] | [PDF]

• Jinheon Baek, Dong Bok Lee, Sung Ju Hwang. "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" | [Home Page] | [PDF]

• Kaustav Kundu, Joseph Tighe. "Exploiting weakly supervised visual patterns to learn from partial annotations" | [Home Page] | [PDF]

• Yibo Yang, Robert Bamler, Stephan Mandt. "Improving Inference for Neural Image Compression" | [Home Page] | [PDF]

• Woojeong Kim, Suhyun Kim, Mincheol Park, Geunseok Jeon. "Neuron Merging: Compensating for Pruned Neurons" | [Home Page] | [PDF]

• Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin A. Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li. "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" | [Home Page] | [PDF]

• Arthur Delarue, Ross Anderson, Christian Tjandraatmadja. "Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing" | [Home Page] | [PDF]

• Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu. "Towards Playing Full MOBA Games with Deep Reinforcement Learning" | [Home Page] | [PDF]

• Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang. "Rankmax: An Adaptive Projection Alternative to the Softmax Function" | [Home Page] | [PDF]

• Nataly Brukhim, Xinyi Chen, Elad Hazan, Shay Moran. "Online Agnostic Boosting via Regret Minimization" | [Home Page] | [PDF]

• Dong Zhang, Hanwang Zhang, Jinhui Tang, Xian-Sheng Hua, Qianru Sun. "Causal Intervention for Weakly-Supervised Semantic Segmentation" | [Home Page] | [PDF]

• Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon. "Belief Propagation Neural Networks" | [Home Page] | [PDF]

• Yi Zhang, Orestis Plevrakis, Simon S. Du, Xingguo Li, Zhao Song, Sanjeev Arora. "Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality" | [Home Page] | [PDF]

• Adil Khan, Khadija Fraz. "Post-training Iterative Hierarchical Data Augmentation for Deep Networks" | [Home Page] | [PDF]

• Julius Adebayo, Michael Muelly, Ilaria Liccardi, Been Kim. "Debugging Tests for Model Explanations" | [Home Page] | [PDF]

• Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis. "Robust compressed sensing using generative models" | [Home Page] | [PDF]

• Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed Chi. "Fairness without Demographics through Adversarially Reweighted Learning" | [Home Page] | [PDF]

• Alex X. Lee, Anusha Nagabandi, Pieter Abbeel, Sergey Levine. "Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model" | [Home Page] | [PDF]

• Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob Foerster. "Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian" | [Home Page] | [PDF]

• Thiparat Chotibut, Fryderyk Falniowski, Michał Misiurewicz, Georgios Piliouras. "The route to chaos in routing games: When is price of anarchy too optimistic?" | [Home Page] | [PDF]

• Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvari, Venkatesh Saligrama. "Online Algorithm for Unsupervised Sequential Selection with Contextual Information" | [Home Page] | [PDF]

• Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu. "Adapting Neural Architectures Between Domains" | [Home Page] | [PDF]

• Sana Tonekaboni, Shalmali Joshi, Kieran Campbell, David K. Duvenaud, Anna Goldenberg. "What went wrong and when? Instance-wise feature importance for time-series black-box models" | [Home Page] | [PDF]

• Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li. "Towards Better Generalization of Adaptive Gradient Methods" | [Home Page] | [PDF]

• Tanmay Gangwani, Yuan Zhou, Jian Peng. "Learning Guidance Rewards with Trajectory-space Smoothing" | [Home Page] | [PDF]

• Chaobing Song, Yong Jiang, Yi Ma. "Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization" | [Home Page] | [PDF]

• Rishi Sonthalia, Anna Gilbert. "Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding" | [Home Page] | [PDF]

• Nick Pawlowski, Daniel Coelho de Castro, Ben Glocker. "Deep Structural Causal Models for Tractable Counterfactual Inference" | [Home Page] | [PDF]

• Dario Pavllo, Graham Spinks, Thomas Hofmann, Marie-Francine Moens, Aurelien Lucchi. "Convolutional Generation of Textured 3D Meshes" | [Home Page] | [PDF]

• Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez. "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks" | [Home Page] | [PDF]

• Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser Nam Lim, Austin R. Benson. "Better Set Representations For Relational Reasoning" | [Home Page] | [PDF]

• Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric Xing. "AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning" | [Home Page] | [PDF]

• Jianan Wang, Eren Sezener, David Budden, Marcus Hutter, Joel Veness. "A Combinatorial Perspective on Transfer Learning" | [Home Page] | [PDF]

• Amit Daniely, Gal Vardi. "Hardness of Learning Neural Networks with Natural Weights" | [Home Page] | [PDF]

• Steinar Laenen, He Sun. "Higher-Order Spectral Clustering of Directed Graphs" | [Home Page] | [PDF]

• Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone. "Primal-Dual Mesh Convolutional Neural Networks" | [Home Page] | [PDF]

• Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto. "The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning" | [Home Page] | [PDF]

• Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, Yang Liu. "Watch out! Motion is Blurring the Vision of Your Deep Neural Networks" | [Home Page] | [PDF]

• Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani. "Sinkhorn Barycenter via Functional Gradient Descent" | [Home Page] | [PDF]

• Murad Tukan, Alaa Maalouf, Dan Feldman. "Coresets for Near-Convex Functions" | [Home Page] | [PDF]

• Bobby He, Balaji Lakshminarayanan, Yee Whye Teh. "Bayesian Deep Ensembles via the Neural Tangent Kernel" | [Home Page] | [PDF]

• Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing. "Improved Schemes for Episodic Memory-based Lifelong Learning" | [Home Page] | [PDF]

• Sebastian Curi, Kfir Y. Levy, Stefanie Jegelka, Andreas Krause. "Adaptive Sampling for Stochastic Risk-Averse Learning" | [Home Page] | [PDF]

• Jiangxin Dong, Stefan Roth, Bernt Schiele. "Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring" | [Home Page] | [PDF]

• Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado P. van Hasselt, Satinder Singh, David Silver. "Discovering Reinforcement Learning Algorithms" | [Home Page] | [PDF]

• Jeffrey Dudek, Dror Fried, Kuldeep S Meel. "Taming Discrete Integration via the Boon of Dimensionality" | [Home Page] | [PDF]

• Chenyang Lei, Yazhou Xing, Qifeng Chen. "Blind Video Temporal Consistency via Deep Video Prior" | [Home Page] | [PDF]

• Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin. "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering" | [Home Page] | [PDF]

• Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Benjamin Carterette, Mounia Lalmas. "Model Selection for Production System via Automated Online Experiments" | [Home Page] | [PDF]

• Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher. "On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems" | [Home Page] | [PDF]

• Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh. "Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond" | [Home Page] | [PDF]

• Luke Rast, Jan Drugowitsch. "Adaptation Properties Allow Identification of Optimized Neural Codes" | [Home Page] | [PDF]

• Junchi Yang, Negar Kiyavash, Niao He. "Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems" | [Home Page] | [PDF]

• Kaiqing Zhang, Sham Kakade, Tamer Basar, Lin Yang. "Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity" | [Home Page] | [PDF]

• Aviral Kumar, Aurick Zhou, George Tucker, Sergey Levine. "Conservative Q-Learning for Offline Reinforcement Learning" | [Home Page] | [PDF]

• Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen. "Online Influence Maximization under Linear Threshold Model" | [Home Page] | [PDF]

• Ushnish Sengupta, Matt Amos, Scott Hosking, Carl Edward Rasmussen, Matthew Juniper, Paul Young. "Ensembling geophysical models with Bayesian Neural Networks" | [Home Page] | [PDF]

• Yuxi Li, Ning Xu, Jinlong Peng, John See, Weiyao Lin. "Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation" | [Home Page] | [PDF]

• Christopher Frye, Colin Rowat, Ilya Feige. "Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability" | [Home Page] | [PDF]

• Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song. "Understanding Deep Architecture with Reasoning Layer" | [Home Page] | [PDF]

• Anders Jonsson, Emilie Kaufmann, Pierre Menard, Omar Darwiche Domingues, Edouard Leurent, Michal Valko. "Planning in Markov Decision Processes with Gap-Dependent Sample Complexity" | [Home Page] | [PDF]

• Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill. "Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration" | [Home Page] | [PDF]

• Ping-yeh Chiang, Michael Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein. "Detection as Regression: Certified Object Detection with Median Smoothing" | [Home Page] | [PDF]

• Joey Huchette, Haihao Lu, Hossein Esfandiari, Vahab Mirrokni. "Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming" | [Home Page] | [PDF]

• Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann. "ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks" | [Home Page] | [PDF]

• Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun. "FleXOR: Trainable Fractional Quantization" | [Home Page] | [PDF]

• Eran Malach, Shai Shalev-Shwartz. "The Implications of Local Correlation on Learning Some Deep Functions" | [Home Page] | [PDF]

• Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik D. Johansson. "Learning to search efficiently for causally near-optimal treatments" | [Home Page] | [PDF]

• Ambar Pal, Rene Vidal. "A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses" | [Home Page] | [PDF]

• Bertrand Charpentier, Daniel Zügner, Stephan Günnemann. "Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts" | [Home Page] | [PDF]

• Johannes Bausch. "Recurrent Quantum Neural Networks" | [Home Page] | [PDF]

• Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras. "No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix" | [Home Page] | [PDF]

• Gergely Neu, Ciara Pike-Burke. "A Unifying View of Optimism in Episodic Reinforcement Learning" | [Home Page] | [PDF]

• Moran Feldman, Amin Karbasi. "Continuous Submodular Maximization: Beyond DR-Submodularity" | [Home Page] | [PDF]

• Andrea Tirinzoni, Matteo Pirotta, Marcello Restelli, Alessandro Lazaric. "An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits" | [Home Page] | [PDF]

• Oscar Chang, Lampros Flokas, Hod Lipson, Michael Spranger. "Assessing SATNet's Ability to Solve the Symbol Grounding Problem" | [Home Page] | [PDF]

• Michał Jamroż, Marcin Kurdziel, Mateusz Opala. "A Bayesian Nonparametrics View into Deep Representations" | [Home Page] | [PDF]

• Amnon Geifman, Abhay Yadav, Yoni Kasten, Meirav Galun, David Jacobs, Basri Ronen. "On the Similarity between the Laplace and Neural Tangent Kernels" | [Home Page] | [PDF]

• Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik. "A causal view of compositional zero-shot recognition" | [Home Page] | [PDF]

• Albert Gu, Tri Dao, Stefano Ermon, Atri Rudra, Christopher Ré. "HiPPO: Recurrent Memory with Optimal Polynomial Projections" | [Home Page] | [PDF]

• Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao. "Auto Learning Attention" | [Home Page] | [PDF]

• Trent Kyono, Yao Zhang, Mihaela van der Schaar. "CASTLE: Regularization via Auxiliary Causal Graph Discovery" | [Home Page] | [PDF]

• Kaihua Tang, Jianqiang Huang, Hanwang Zhang. "Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect" | [Home Page] | [PDF]

• Dominik Peters, Ariel D. Procaccia, Alexandros Psomas, Zixin Zhou. "Explainable Voting" | [Home Page] | [PDF]

• Chun Kai Ling, Fei Fang, J. Zico Kolter. "Deep Archimedean Copulas" | [Home Page] | [PDF]

• Ben Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy. "Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization" | [Home Page] | [PDF]

• Chu Zhou, Hang Zhao, Jin Han, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi. "UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging" | [Home Page] | [PDF]

• Shaogang Ren, Weijie Zhao, Ping Li. "Thunder: a Fast Coordinate Selection Solver for Sparse Learning" | [Home Page] | [PDF]

• Liu Ziyin, Tilman Hartwig, Masahito Ueda. "Neural Networks Fail to Learn Periodic Functions and How to Fix It" | [Home Page] | [PDF]

• Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai Nguyen. "Distribution Matching for Crowd Counting" | [Home Page] | [PDF]

• Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi, Maks Ovsjanikov. "Correspondence learning via linearly-invariant embedding" | [Home Page] | [PDF]

• Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Xu Chi. "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning" | [Home Page] | [PDF]

• Florian Tramer, Nicholas Carlini, Wieland Brendel, Aleksander Madry. "On Adaptive Attacks to Adversarial Example Defenses" | [Home Page] | [PDF]

• Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani. "Sinkhorn Natural Gradient for Generative Models" | [Home Page] | [PDF]

• Arthur Mensch, Gabriel Peyré. "Online Sinkhorn: Optimal Transport distances from sample streams" | [Home Page] | [PDF]

• Marc Law, Jos Stam. "Ultrahyperbolic Representation Learning" | [Home Page] | [PDF]

• Ilja Kuzborskij, Nicolò Cesa-Bianchi. "Locally-Adaptive Nonparametric Online Learning" | [Home Page] | [PDF]

• Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou. "Compositional Generalization via Neural-Symbolic Stack Machines" | [Home Page] | [PDF]

• Luana Ruiz, Luiz Chamon, Alejandro Ribeiro. "Graphon Neural Networks and the Transferability of Graph Neural Networks" | [Home Page] | [PDF]

• Mohsen Bayati, Nima Hamidi, Ramesh Johari, Khashayar Khosravi. "Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms" | [Home Page] | [PDF]

• Michael Janner, Igor Mordatch, Sergey Levine. "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction" | [Home Page] | [PDF]

• Xian Li, Asa Cooper Stickland, Yuqing Tang, Xiang Kong. "Deep Transformers with Latent Depth" | [Home Page] | [PDF]

• Kunal Gupta, Manmohan Chandraker. "Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows" | [Home Page] | [PDF]

• Jerome-Alexis Chevalier, Joseph Salmon, Alexandre Gramfort, Bertrand Thirion. "Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso" | [Home Page] | [PDF]

• Haoran Zhu, Pavankumar Murali, Dzung Phan, Lam Nguyen, Jayant Kalagnanam. "A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees" | [Home Page] | [PDF]

• Kai Jia, Martin Rinard. "Efficient Exact Verification of Binarized Neural Networks" | [Home Page] | [PDF]

• Xiao Sun, Naigang Wang, Chia-Yu Chen, Jiamin Ni, Ankur Agrawal, Xiaodong Cui, Swagath Venkataramani, Kaoutar El Maghraoui, Vijayalakshmi (Viji) Srinivasan, Kailash Gopalakrishnan. "Ultra-Low Precision 4-bit Training of Deep Neural Networks" | [Home Page] | [PDF]

• Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James Kwok, Tong Zhang. "Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS" | [Home Page] | [PDF]

• Xi Zhang, Xiaolin Wu. "On Numerosity of Deep Neural Networks" | [Home Page] | [PDF]

• Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia. "Outlier Robust Mean Estimation with Subgaussian Rates via Stability" | [Home Page] | [PDF]

• Jiuxiang Gu, Jason Kuen, Shafiq Joty, Jianfei Cai, Vlad Morariu, Handong Zhao, Tong Sun. "Self-Supervised Relationship Probing" | [Home Page] | [PDF]

• Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan Kuruoglu, Yefeng Zheng. "Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback" | [Home Page] | [PDF]

• Fenglin Liu, Xuancheng Ren, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou, Xu Sun. "Prophet Attention: Predicting Attention with Future Attention" | [Home Page] | [PDF]

• Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei. "Language Models are Few-Shot Learners" | [Home Page] | [PDF]

• Allan Grønlund, Lior Kamma, Kasper Green Larsen. "Margins are Insufficient for Explaining Gradient Boosting" | [Home Page] | [PDF]

• Alex Tseng, Avanti Shrikumar, Anshul Kundaje. "Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics" | [Home Page] | [PDF]

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