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NeurIPS 2020: all accepted papers

315 papers · page 3 of 4 · the most cited first · ← NeurIPS 2020

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  1. Untangling tradeoffs between recurrence and self-attention in artificial neural networks ↗Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal et al.6 citations
  2. Adversarial Example Games ↗Avishek Joey Bose, Gauthier Gidel, Hugo Berard et al.5 citations
  3. Approximate Heavily-Constrained Learning with Lagrange Multiplier Models ↗Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou et al.5 citations
  4. Debiasing Averaged Stochastic Gradient Descent to handle missing values ↗Aude Sportisse, Claire Boyer, Aymeric Dieuleveut et al.5 citations
  5. Learning Disentangled Representations and Group Structure of Dynamical Environments ↗Robin Quessard, Thomas D. Barrett, William R. Clements5 citations
  6. Minibatch Stochastic Approximate Proximal Point Methods ↗Hilal Asi, Karan N. Chadha, Gary Cheng et al.5 citations
  7. On the universality of deep learning ↗Emmanuel A. Abbe, Colin Sandon5 citations
  8. Sequential Bayesian Experimental Design with Variable Cost Structure ↗Sue Zheng, David S. Hayden, Jason Pacheco et al.5 citations
  9. When Counterpoint Meets Chinese Folk Melodies ↗Nan Jiang, Sheng Jin, Zhiyao Duan et al.5 citations
  10. Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information ↗Genevieve Flaspohler, Nicholas Roy, John Sheridan Fisher4 citations
  11. Coded Sequential Matrix Multiplication For Straggler Mitigation ↗Nikhil Krishnan Muralee Krishnan, Seyederfan Hosseini, Ashish J. Khisti4 citations
  12. Detecting Interactions from Neural Networks via Topological Analysis ↗Zirui Liu, Qingquan Song, Kaixiong Zhou et al.4 citations
  13. Dynamic Submodular Maximization. ↗Morteza Monemizadeh4 citations
  14. Learning Agent Representations for Ice Hockey ↗Guiliang Liu, Oliver Schulte, Pascal Poupart et al.4 citations
  15. Learning to Mutate with Hypergradient Guided Population ↗Zhiqiang Tao, Yaliang Li, Bolin Ding et al.4 citations
  16. Offline Imitation Learning with a Misspecified Simulator ↗Shengyi Jiang, Jing-Cheng Pang, Yang Yu4 citations
  17. Online Convex Optimization Over Erdos-Renyi Random Networks ↗Jinlong Lei, Peng Yi, Yiguang Hong et al.4 citations
  18. RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning. ↗Çağlar Gülçehre, Ziyu Wang, Alexander Novikov et al.4 citations
  19. Scalable Belief Propagation via Relaxed Scheduling ↗Vitaly Aksenov, Dan Alistarh, Janne H. Korhonen4 citations
  20. Smoothly Bounding User Contributions in Differential Privacy ↗Alessandro Epasto, Mohammad Mahdian, Jieming Mao et al.4 citations
  21. Training Linear Finite-State Machines. ↗Arash Ardakani, Amir Ardakani, Warren J. Gross4 citations
  22. Understanding Deep Architecture with Reasoning Layer ↗Xinshi Chen, Yufei Zhang, Christoph Reisinger et al.4 citations
  23. A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration ↗Kevin Scaman, Ludovic Dos Santos, Merwan Barlier et al.3 citations
  24. Batched Coarse Ranking in Multi-Armed Bandits ↗Nikolai Karpov, Qin Zhang3 citations
  25. Baxter Permutation Process ↗Masahiro Nakano, Akisato Kimura, Takeshi Yamada et al.3 citations
  26. Bidirectional Convolutional Poisson Gamma Dynamical Systems ↗wenchao chen, Chaojie Wang, Bo Chen et al.3 citations
  27. Content Provider Dynamics and Coordination in Recommendation Ecosystems ↗Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz3 citations
  28. Equivariant Networks for Hierarchical Structures ↗Renhao Wang, Marjan Albooyeh, Siamak Ravanbakhsh3 citations
  29. Estimation of Skill Distribution from a Tournament ↗Ali Jadbabaie, Anuran Makur, Devavrat Shah3 citations
  30. Group Contextual Encoding for 3D Point Clouds ↗Xu Liu, Chengtao Li, Jian Wang et al.3 citations
  31. Hierarchical Granularity Transfer Learning ↗Shaobo Min, Hongtao Xie, Hantao Yao et al.3 citations
  32. Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds ↗Nicholas J. A. Harvey, Christopher Liaw, Tasuku Soma3 citations
  33. Learning Mutational Semantics ↗Brian Hie, Ellen D. Zhong, Bryan D. Bryson et al.3 citations
  34. Planning with General Objective Functions: Going Beyond Total Rewards ↗Ruosong Wang, Peilin Zhong, Simon S. Du et al.3 citations
  35. RD²: Reward Decomposition with Representation Decomposition ↗Zichuan Lin, Derek Yang, Zhao Li et al.3 citations
  36. A Novel Approach for Constrained Optimization in Graphical Models ↗Sara Rouhani, Tahrima Rahman, Vibhav Gogate2 citations
  37. Adaptive Probing Policies for Shortest Path Routing ↗Aditya Bhaskara, Sreenivas Gollapudi, Kostas Kollias et al.2 citations
  38. Annotating Automotive Radar efficiently: Semantic Radar Labeling Framework (SeRaLF) ↗Simon T. Isele, Marcel P. Schilling, Fabian E. Klein et al.2 citations
  39. Axioms for Learning from Pairwise Comparisons ↗Ritesh Noothigattu, Dominik Peters, Ariel D. Procaccia2 citations
  40. Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs ↗Agniva Chowdhury, Palma London, Haim Avron et al.2 citations
  41. Gradient Regularized V-Learning for Dynamic Treatment Regimes ↗Yao Zhang, Mihaela van der Schaar2 citations
  42. Learning Strategic Network Emergence Games ↗Rakshit Trivedi, Hongyuan Zha2 citations
  43. Minimax Bounds for Generalized Linear Models ↗Kuan-Yun Lee, Thomas A. Courtade2 citations
  44. Network size and size of the weights in memorization with two-layers neural networks ↗Sébastien Bubeck, Ronen Eldan, Yin Tat Lee et al.2 citations
  45. Ode to an ODE ↗Krzysztof Choromański, Jared Quincy Davis, Valerii Likhosherstov et al.2 citations
  46. On ranking via sorting by estimated expected utility. ↗Clément Calauzènes, Nicolas Usunier2 citations
  47. Online MAP Inference of Determinantal Point Processes ↗Aditya Bhaskara, Amin Karbasi, Silvio Lattanzi et al.2 citations
  48. PAC-Bayes Learning Bounds for Sample-Dependent Priors ↗Pranjal Awasthi, Satyen Kale, Stefani Karp et al.2 citations
  49. Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso ↗Jérôme-Alexis Chevalier, Joseph Salmon, Alexandre Gramfort et al.2 citations
  50. The Statistical Cost of Robust Kernel Hyperparameter Turning ↗Raphael A. Meyer, Christopher Musco2 citations
  51. A Bayesian Nonparametrics View into Deep Representations ↗Michał H. Jamróz, Marcin Kurdziel, Mateusz Opala1 citation
  52. Choice Bandits ↗Arpit Agarwal, Nicholas Johnson, Shivani Agarwal1 citation
  53. Consistent Plug-in Classifiers for Complex Objectives and Constraints ↗Shiv Kumar Tavker, Harish G. Ramaswamy, Harikrishna Narasimhan1 citation
  54. Empirical Likelihood for Contextual Bandits ↗Nikos Karampatziakis, John C. Langford, Paul Mineiro1 citation
  55. Escaping Saddle-Point Faster under Interpolation-like Conditions ↗Abhishek Ghosh Roy, Krishnakumar Balasubramanian, Saeed Ghadimi et al.1 citation
  56. Estimating weighted areas under the ROC curve ↗Andreas Maurer, Massimiliano Pontil1 citation
  57. Explainable Voting ↗Dominik Peters, Ariel D. Procaccia, Alexandros Psomas et al.1 citation
  58. Inductive Quantum Embedding ↗Santosh Kumar Srivastava, Dinesh Khandelwal, Dhiraj Madan et al.1 citation
  59. One-sample Guided Object Representation Disassembling ↗Zunlei Feng, Yongming He, Xinchao Wang et al.1 citation
  60. Provably efficient neural GTD algorithm for off-policy learning ↗Hoi To Wai, Zhuoran Yang, Zhaoran Wang et al.1 citation
  61. RD2: Reward Decomposition with Representation Disentanglement ↗Zichuan Lin, Derek Yang, Li Zhao et al.1 citation
  62. Ratio Trace Formulation of Wasserstein Discriminant Analysis ↗Hexuan Liu, Yunfeng Cai, You Lin Chen et al.1 citation
  63. Towards Problem-dependent Optimal Learning Rates ↗Yunbei Xu, Assaf J. Zeevi1 citation
  64. Understanding and Exploring the Network with Stochastic Architectures ↗Zhijie Deng, Yinpeng Dong, Shifeng Zhang et al.1 citation

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