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NeurIPS 2021: all accepted papers

481 papers · page 4 of 5 · the most cited first · ← NeurIPS 2021

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  1. Collapsed Variational Bounds for Bayesian Neural Networks ↗Marcin B. Tomczak, Siddharth Swaroop, Andrew Y. K. Foong et al.2 citations
  2. Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa ↗Raesetje Sefala, Timnit Gebru, Luzango Pangani Mfupe et al.2 citations
  3. Continuous-time edge modelling using non-parametric point processes ↗Xuhui Fan, Bin Li, Feng Zhou et al.2 citations
  4. Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data ↗Amirreza Farnoosh, Sarah Ostadabbas2 citations
  5. Differentiable Synthesis of Program Architectures ↗Cui Guo-feng, He Zhu2 citations
  6. Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition ↗Jayadev Acharya, Clément L. Canonne, Yuhan Liu et al.2 citations
  7. Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit ↗Shoutik Mukherjee, Behtash Babadi2 citations
  8. Efficient Generalization with Distributionally Robust Learning ↗Soumyadip Ghosh, Mark S. Squillante, Ebisa Wollega2 citations
  9. Exploiting Opponents Under Utility Constraints in Sequential Games ↗Martino Bernasconi, Federico Cacciamani, Simone Fioravanti et al.2 citations
  10. Fair Scheduling for Time-dependent Resources ↗Bo Li, Minming Li, Ruilong Zhang2 citations
  11. Fast Training Method for Stochastic Compositional Optimization Problems ↗Hongchang Gao, Heng Huang2 citations
  12. Faster Non-asymptotic Convergence for Double Q-learning ↗Lin Feng Zhao, Huaqing Xiong, Yingbin Liang2 citations
  13. Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods ↗Hamza Fawzi, Harry Goulbourne2 citations
  14. Functional Variational Inference based on Stochastic Process Generators ↗Chao Ma, José Miguel Hernández-Lobato2 citations
  15. Generating High-Quality Explanations for Navigation in Partially-Revealed Environments ↗Gregory M. Stein2 citations
  16. Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games ↗Tanner Fiez, Lillian J. Ratliff, Eric Mazumdar et al.2 citations
  17. Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation ↗Shaogao Lv, Junhui Wang, Jiankun Liu et al.2 citations
  18. Intelligent Sight and Sound: A Chronic Cancer Facial Pain Dataset ↗Catherine Y. Ordun, Alexandra Cha, Edward Raff et al.2 citations
  19. Learning Fast-Inference Bayesian Networks ↗Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider2 citations
  20. Learning in Non-Cooperative Configurable Markov Decision Processes ↗Giorgia Ramponi, Alberto Maria Metelli, Alessandro Concetti et al.2 citations
  21. Learning to Select Exogenous Events for Marked Temporal Point Process ↗Ping Zhang, Rishabh Iyer, Ashish V. Tendulkar et al.2 citations
  22. Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models ↗Xiao Lv, Wei Lin Cui, Yulong Liu2 citations
  23. Measuring Coding Challenge Competence With APPS ↗Dan Hendrycks, Steven Basart, Saurav Kadavath et al.2 citations
  24. Modified Frank Wolfe in Probability Space ↗Carson Kent, Jiajin Li, José Blanchet et al.2 citations
  25. Multiclass Boosting and the Cost of Weak Learning ↗Nataly Brukhim, Elad Hazan, Shay Moran et al.2 citations
  26. NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs ↗Evan McCarty, Qi Gang Zhao, Anastasios Sidiropoulos et al.2 citations
  27. Observation-Free Attacks on Stochastic Bandits ↗Yinglun Xu, Bhuvesh Kumar, Jacob Abernethy2 citations
  28. On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond ↗Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos2 citations
  29. On the Value of Infinite Gradients in Variational Autoencoder Models ↗Bin Dai, Li Kevin Wenliang, David Wipf2 citations
  30. Optimal Algorithms for Stochastic Contextual Preference Bandits ↗Aadirupa Saha2 citations
  31. PLUGIn: A simple algorithm for inverting generative models with recovery guarantees ↗Babhru Joshi, Xiaowei Li, Yaniv Plan et al.2 citations
  32. Parallel and Efficient Hierarchical k-Median Clustering ↗Vincent Cohen-Addad, Silvio Lattanzi, Ashkan Norouzi-Fard et al.2 citations
  33. Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL ↗Minshuo Chen, Yan Li, Ethan Wang et al.2 citations
  34. Private and Non-private Uniformity Testing for Ranking Data ↗Róbert Busa‐Fekete, Dimitris A. Fotakis, Manolis Zampetakis2 citations
  35. Robust Online Correlation Clustering ↗Silvio Lattanzi, Benjamin Moseley, Sergei Vassilvitskii et al.2 citations
  36. SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization ↗Ziming Zhang, Yue Yun, Guojun Gary Wu et al.2 citations
  37. STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization ↗Kfir Yehuda Levy, Ali Kavis, Volkan Cevher2 citations
  38. Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data ↗Dongmin Park, Hwanjun Song, Minseok Kim et al.2 citations
  39. The balancing principle for parameter choice in distance-regularized domain adaptation ↗Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu et al.2 citations
  40. Towards Best-of-All-Worlds Online Learning with Feedback Graphs ↗Liad Erez, Tomer Koren2 citations
  41. Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks ↗Giora Simchoni, Saharon Rosset2 citations
  42. VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text ↗Hassan Akbari, Liangzhe Yuan, Rui Qian et al.2 citations
  43. (Implicit)²: Implicit Layers for Implicit Representations ↗Zhichun Huang, Shaojie Bai, J. Zico Kolter1 citation
  44. A Continuous Mapping For Augmentation Design ↗Keyu Tian, Lin Chen, Ser Nam Lim et al.1 citation
  45. A Surrogate Objective Framework for Prediction+Programming with Soft Constraints ↗Kai Yan, Jie Yan, Chuan Wen Luo et al.1 citation
  46. A sampling-based circuit for optimal decision making ↗Camille E. Rullán Buxó, Cristina Savin1 citation
  47. Absolute Neighbour Difference based Correlation Test for Detecting Heteroscedastic Relationships ↗Lifeng Zhang1 citation
  48. Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection ↗Sunghyeon Woo, Jeongwoo Park, Jiwoo Hong et al.1 citation
  49. Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable ↗Tian-Zuo Wang, Zhi‐Hua Zhou1 citation
  50. Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach ↗Anindya Sarkar, Anirban Sarkar, Sowrya Gali et al.1 citation
  51. Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations ↗Ayush Sekhari, Christoph Dann, Mehryar Mohri et al.1 citation
  52. BARTScore: Evaluating Generated Text as Text Generation ↗Weizhe Yuan, Graham Neubig, Pengfei Liu1 citation
  53. Boosting with Multiple Sources ↗Corinna Cortes, Mehryar Mohri, Dmitry Storcheus et al.1 citation
  54. CogView: Mastering Text-to-Image Generation via Transformers ↗Ming Ding, Zhuoyi Yang, Wenyi Hong et al.1 citation
  55. Conditional Generation Using Polynomial Expansions ↗Grigorios G. Chrysos, Markos Georgopoulos, Yannis Panagakis1 citation
  56. Convex Polytope Trees and its Application to VAE ↗Mohammadreza Armandpour, Ali Sadeghian, Mingyuan Zhou1 citation
  57. Deep Self-Dissimilarities as Powerful Visual Fingerprints ↗Idan Kligvasser, Tamar Rott Shaham, Yuval Bahat et al.1 citation
  58. Directed Spectrum Measures Improve Latent Network Models Of Neural Populations ↗Neil M. Gallagher, Kafui Dzirasa, David Carlson1 citation
  59. Distributionally Robust Imitation Learning ↗Mohammad Bashiri, Brian D. Ziebart, Xinhua Zhang1 citation
  60. Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation ↗Hideaki Kim1 citation
  61. Few-Shot Data-Driven Algorithms for Low Rank Approximation ↗Piotr Indyk, Tal Wagner, David P. Woodruff1 citation
  62. Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence ↗Dachao Lin, Haishan Ye, Zhihua Zhang1 citation
  63. Handling Long-tailed Feature Distribution in AdderNets ↗Minjing Dong, Yunhe Wang, Xinghao Chen et al.1 citation
  64. Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits ↗Shinji Ito1 citation
  65. Identity testing for Mallows model ↗Róbert Busa‐Fekete, Dimitris A. Fotakis, Balázs Szörényi et al.1 citation
  66. Image Generation using Continuous Filter Atoms ↗Ze Wang, Seung-Hyun Hwang, Zichen Miao et al.1 citation
  67. Integrated Latent Heterogeneity and Invariance Learning in Kernel Space ↗Jiashuo Liu, Zheyuan Hu, Peng Cui et al.1 citation
  68. Iterative Connecting Probability Estimation for Networks ↗Yichen Qin, Linhan Yu, Yang Li1 citation
  69. Joint Inference for Neural Network Depth and Dropout Regularization ↗Kishan KC, Rui Li, MohammadMahdi Gilany1 citation
  70. LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning ↗Chonghao Sima, Yexiang Xue1 citation
  71. LeadCache: Regret-Optimal Caching in Networks ↗Debjit Paria, Abhishek Sinha1 citation
  72. Learning Signal-Agnostic Implicit Manifolds ↗Yilun Du, Katherine M. Collins, Joshua B. Tenenbaum et al.1 citation
  73. Learning rule influences recurrent network representations but not attractor structure in decision-making tasks ↗Brandon McMahan, Michael Kleinman, Jonathan C. Kao1 citation
  74. Linear-Time Probabilistic Solution of Boundary Value Problems ↗Nicholas Krämer, Philipp Hennig1 citation
  75. Mirror Langevin Monte Carlo: the Case Under Isoperimetry ↗Qijia Jiang1 citation
  76. Multi-Label Learning with Pairwise Relevance Ordering ↗Ming-Kun Xie, Sheng-Jun Huang1 citation
  77. Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems ↗Suhas S Kowshik, Anant Raj, Prateek Jain et al.1 citation
  78. Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization ↗Rohan Ghosh, Mehul Motani1 citation
  79. On Density Estimation with Diffusion Models ↗Diederik P. Kingma, Tim Salimans, Ben Poole et al.1 citation
  80. Online Active Learning with Surrogate Loss Functions ↗Giulia DeSalvo, Claudio Gentile, Tobias Sommer Thune1 citation
  81. Online Learning and Control of Complex Dynamical Systems from Sensory Input ↗Oumayma Bounou, Jean Ponce, Justin Carpentier1 citation
  82. Optimal Underdamped Langevin MCMC Method ↗Zhengmian Hu, Feihu Huang, Heng Huang1 citation
  83. Permuton-induced Chinese Restaurant Process ↗Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura et al.1 citation
  84. Predicting Event Memorability from Contextual Visual Semantics ↗Qianli Xu, Fen Fang, Ana García del Molino et al.1 citation
  85. Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits ↗Orestis Papadigenopoulos, Constantine Caramanis1 citation
  86. Representation Costs of Linear Neural Networks: Analysis and Design ↗Zhen Dai, Mina Karzand, Nathan Srebro1 citation
  87. Scalable Inference of Sparsely-changing Gaussian Markov Random Fields ↗Salar Fattahi, Andrés Gómez1 citation
  88. Self-Adaptable Point Processes with Nonparametric Time Decays ↗Zhimeng Pan, Zheng Wang, Jeff M. Phillips et al.1 citation
  89. Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders ↗Amrutha Saseendran, Kathrin Skubch, Stefan Falkner et al.1 citation
  90. Solving Soft Clustering Ensemble via k-Sparse Discrete Wasserstein Barycenter ↗Ruizhe Qin, Mengying Li, Hu Ding1 citation
  91. Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders ↗Konstantin Genin1 citation
  92. Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity ↗Gabriel Koch Ocker, Michael A. Buice1 citation
  93. Think Big, Teach Small: Do Language Models Distil Occam’s Razor? ↗Gonzalo Jaimovitch-López, David Castellano Falcón, Cèsar Ferri et al.1 citation
  94. Towards Deeper Deep Reinforcement Learning with Spectral Normalization ↗Nils Bjorck, Carla Pedro Gomes, Kilian Q. Weinberger1 citation
  95. Towards a robust experimental framework and benchmark for lifelong language learning ↗Aman Hussain, Nithin Holla, Pushkar Mishra et al.1 citation
  96. TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up ↗Yifan Jiang, Shiyu Chang, Zhangyang Wang1 citation
  97. Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization ↗Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang et al.1 citation
  98. A Comprehensively Tight Analysis of Gradient Descent for PCA ↗Zhiqiang Xu, Ping Li
  99. A Minimalist Approach to Offline Reinforcement Learning ↗Scott Fujimoto, Shixiang Gu
  100. A No-go Theorem for Robust Acceleration in the Hyperbolic Plane ↗Linus Hamilton, Ankur Moitra

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