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NeurIPS 2022: all accepted papers

2,834 papers · page 16 of 29 · the most cited first · ← NeurIPS 2022

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  1. Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty ↗Luning Sun, Daniel Zhengyu Huang, Hao Yan Sun et al.3 citations
  2. Benign, Tempered, Or Catastrophic: Toward a Refined Taxonomy of Overfitting ↗Neil Mallinar, James B. Simon, Amirhesam Abedsoltan et al.3 citations
  3. Beyond Adult and COMPAS: Fair Multi-Class Prediction Via Information Projection ↗Wael Alghamdi, Hsiang Hsu, Haewon Jeong et al.3 citations
  4. Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources ↗Bariscan Bozkurt, Cengiz Pehlevan, Alper Tunga Erdogan3 citations
  5. Bounded-Regret MPC Via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity ↗Yiheng Lin, Yang Hu, Guannan Qu et al.3 citations
  6. Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms ↗Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian et al.3 citations
  7. CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior ↗Eldar David Abraham, Karel D’Oosterlinck, Amir Feder et al.3 citations
  8. Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers ↗Wanqian Yang, Polina Kirichenko, Micah Goldblum et al.3 citations
  9. ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences ↗Ming-Syan Chen, De-Nian Yang, Ming-Syan Chen3 citations
  10. Communication Efficient Distributed Learning for Kernelized Contextual Bandits ↗Chuanhao Li, Hongning Wang, Mengdi Wang et al.3 citations
  11. Communication Efficient Federated Learning for Generalized Linear Bandits ↗Chuanhao Li, Hongning Wang3 citations
  12. Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language ↗Zhenlin Xu, Marc Niethammer, Colin Raffel3 citations
  13. Constants of Motion Network ↗Muhammad Kasim, Yi Heng Lim3 citations
  14. Convergent Representations of Computer Programs in Human and Artificial Neural Networks ↗Shashank Srikant, Benjamin Lipkin, Anna Aleksandrovna Ivanova et al.3 citations
  15. Counterfactual Fairness with Partially Known Causal Graph ↗Aoqi Zuo, Susan Wei, Tongliang Liu et al.3 citations
  16. CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation ↗Zicheng Zhang, Yi Zhu, Jianzhuang Liu et al.3 citations
  17. Curriculum Reinforcement Learning Using Optimal Transport Via Gradual Domain Adaptation ↗Peide Huang, Mengdi Xu, Jiacheng Zhu et al.3 citations
  18. Data-Driven Conditional Robust Optimization ↗Abhilash Reddy Chenreddy, Nymisha Bandi, Erick Delage3 citations
  19. Data-Efficient Structured Pruning Via Submodular Optimization ↗Marwa El Halabi, Suraj Srinivas, Simon Lacoste-Julien3 citations
  20. Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning ↗Dilip Arumugam, Benjamin Van Roy3 citations
  21. Decision Trees with Short Explainable Rules ↗VICTOR FEITOSA DE CARVALHO SOUZA, Ferdinando Cicalese, Eduardo Sany Laber et al.3 citations
  22. Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis ↗Wuyang Chen, Wei Huang, Xinyu Gong et al.3 citations
  23. Deep Model Reassembly ↗Xingyi Yang, Daquan Zhou, Songhua Liu et al.3 citations
  24. Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning ↗Riashat Islam, Hongyu Zang, Anirudh Goyal et al.3 citations
  25. Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders ↗Olivier Jeunen, Ciarán M. Lee, Rishabh Mehrotra et al.3 citations
  26. Distributed Inverse Constrained Reinforcement Learning for Multi-Agent Systems ↗Shicheng Liu, Minghui Zhu3 citations
  27. Distributional Reinforcement Learning for Risk-Sensitive Policies ↗Shiau Hong Lim, Ilyas Malik3 citations
  28. Distributionally Adaptive Meta Reinforcement Learning ↗Anurag Ajay, Abhishek Gupta, Dibya Ghosh et al.3 citations
  29. Distributionally Robust Weighted K-Nearest Neighbors ↗Shixiang Zhu, Liyan Xie, Minghe Zhang et al.3 citations
  30. Domain Generalization Without Excess Empirical Risk ↗Ozan Şener, Vladlen Koltun3 citations
  31. Double Bubble, Toil and Trouble: Enhancing Certified Robustness Through Transitivity ↗Andrew C. Cullen, Paul Montague, Shijie Liu et al.3 citations
  32. Drawing Out of Distribution with Neuro-Symbolic Generative Models ↗Yichao Liang, Joshua B. Tenenbaum, Tuan Anh Le et al.3 citations
  33. Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior ↗Zoe C. Ashwood, Aditi Jha, Jonathan W. Pillow3 citations
  34. Dynamic Pricing and Assortment Under a Contextual MNL Demand ↗Noémie Périvier, Vineet Goyal3 citations
  35. Dynamic Sparse Network for Time Series Classification: Learning What to “See” ↗Qiao Xiao, Boqian Wu, Yu Zhang et al.3 citations
  36. Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution ↗Antonio Orvieto, Simon Lacoste-Julien, Nicolas Loizou3 citations
  37. Efficient Active Learning with Abstention ↗Yinglun Zhu, Robert Nowak3 citations
  38. Efficient Methods for Non-Stationary Online Learning ↗Peng Zhao, Yanfeng Xie, Lijun Zhang et al.3 citations
  39. Efficient Sampling on Riemannian Manifolds Via Langevin MCMC ↗Xiang Cheng, Suvrit Sra, Suvrit Sra3 citations
  40. Efficient and Effective Optimal Transport-Based Biclustering ↗Chakib Fettal, Lazhar Labiod, Mohamed Nadif3 citations
  41. Eliciting Thinking Hierarchy Without a Prior ↗Yuqing Kong, Yunqi Li, Yubo Zhang et al.3 citations
  42. Emergent Communication: Generalization and Overfitting in Lewis Games ↗Mathieu Rita, Corentin Tallec, Paul Michel et al.3 citations
  43. Equivariant Networks for Zero-Shot Coordination ↗Darius Muglich, Christian Schroeder De Witt, Elise van der Pol et al.3 citations
  44. Explaining Preferences with Shapley Values ↗Robert Hu, Siu Lun Chau, Robert Hu et al.3 citations
  45. Exploitability Minimization in Games and Beyond ↗Denizalp Goktas, Amy Greenwald3 citations
  46. Exploring Figure-Ground Assignment Mechanism in Perceptual Organization ↗Wei Zhai, Yang Cao, Jing Zhang et al.3 citations
  47. Exponential Family Model-Based Reinforcement Learning Via Score Matching ↗Gene Li, Junbo Li, Anmol Kabra et al.3 citations
  48. Fair Rank Aggregation ↗Diptarka Chakraborty, Syamantak Das, Arindam Khan et al.3 citations
  49. Fast Bayesian Inference with Batch Bayesian Quadrature Via Kernel Recombination ↗Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen et al.3 citations
  50. Faster and Scalable Algorithms for Densest Subgraph and Decomposition ↗Elfarouk Harb, Kent Quanrud, Chandra Chekuri3 citations
  51. FeLMi : Few Shot Learning with Hard Mixup ↗Aniket Roy, Anshul Shah, Ketul Shah et al.3 citations
  52. Feature Learning in L2-Regularized DNNs: Attraction/Repulsion and Sparsity ↗Arthur Jacot, Eugène Golikov, Clément Hongler et al.3 citations
  53. Few-Shot Non-Parametric Learning with Deep Latent Variable Model ↗Zhiying Jiang, Yiqin Dai, Ji Xin et al.3 citations
  54. Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach ↗Ziyi Chen, Shaocong Ma, Yi Zhou3 citations
  55. Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing ↗Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie et al.3 citations
  56. FourierFormer: Transformer Meets Generalized Fourier Integral Theorem ↗Tan Nguyen, Minh Thai Pham, Tam Nhu Ngoc Nguyen et al.3 citations
  57. Function Classes for Identifiable Nonlinear Independent Component Analysis ↗Simon Buchholz, Michel Besserve, Bernhard Schölkopf3 citations
  58. GULP: A Prediction-Based Metric Between Representations ↗Enric Boix-Adserà, Hannah Lawrence, George Stepaniants et al.3 citations
  59. Generalizing Bayesian Optimization with Decision-Theoretic Entropies ↗Willie Neiswanger, Lantao Yu, Shengjia Zhao et al.3 citations
  60. Geoclidean: Few-Shot Generalization in Euclidean Geometry ↗Joy Hsu, Jiajun Wu, Noah D. Goodman3 citations
  61. Giving Feedback on Interactive Student Programs with Meta-Exploration ↗Evan Zheran Liu, Moritz Stephan, Allen Nie et al.3 citations
  62. Globally Gated Deep Linear Networks ↗Qianyi Li, Haim Sompolinsky3 citations
  63. GraB: Finding Provably Better Data Permutations than Random Reshuffling ↗Yucheng Lu, Wentao Guo, Christopher De3 citations
  64. Gradient Descent is Optimal Under Lower Restricted Secant Inequality and Upper Error Bound ↗Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud et al.3 citations
  65. Graph Coloring Via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction ↗Hansheng Xue, Vaibhav Rajan, Yu Lin3 citations
  66. GraphQNTK: Quantum Neural Tangent Kernel for Graph Data ↗Yehui Tang, Junchi Yan3 citations
  67. GriddlyJS: A Web IDE for Reinforcement Learning ↗Christopher Bamford, Minqi Jiang, Mikayel Samvelyan et al.3 citations
  68. Grounding Aleatoric Uncertainty for Unsupervised Environment Design ↗Minqi Jiang, Michael Dennis, Jack Parker-Holder et al.3 citations
  69. Hierarchical Classification at Multiple Operating Points ↗Jack Valmadre3 citations
  70. High-Dimensional Limit Theorems for SGD: Effective Dynamics and Critical Scaling ↗Gérard Ben Arous, Reza Gheissari, Aukosh Jagannath3 citations
  71. Hilbert Distillation for Cross-Dimensionality Networks ↗Dian Qin, Haishuai Wang, Zhe Liu et al.3 citations
  72. Hyperbolic Feature Augmentation Via Distribution Estimation and Infinite Sampling on Manifolds ↗Zhi Feng Gao, Yuwei Wu, Yunde Jia et al.3 citations
  73. Hypothesis Testing for Differentially Private Linear Regression ↗Daniel Alabi, Salil Vadhan3 citations
  74. IMED-RL: Regret Optimal Learning of Ergodic Markov Decision Processes ↗Fabien Pesquerel, Odalric-Ambrym Maillard3 citations
  75. Imitating Past Successes Can Be Very Suboptimal ↗Benjamin Eysenbach, Soumith Udatha, Russ Salakhutdinov et al.3 citations
  76. Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent ↗Zhiyuan Li, Tianhao Wang, Jason D. Lee et al.3 citations
  77. Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method ↗Ho Huu Nghia Nguyen, Tan Nguyen, Huyen Vo et al.3 citations
  78. Improving Variational Autoencoders with Density Gap-Based Regularization ↗Jianfei Zhang, Jun Bai, Chenghua Lin et al.3 citations
  79. In the Eye of the Beholder: Robust Prediction with Causal User Modeling ↗Amir Feder, Guy Horowitz, Yoav Wald et al.3 citations
  80. Independence Testing-Based Approach to Causal Discovery Under Measurement Error and Linear Non-Gaussian Models ↗Haoyue Dai, Peter Spirtes, Kun Zhang3 citations
  81. Integral Probability Metrics PAC-Bayes Bounds ↗Ron Amit, Baruch Epstein, Shay Moran et al.3 citations
  82. Intra-Agent Speech Permits Zero-Shot Task Acquisition ↗Chen Yan, Federico Carnevale, Petko I Georgiev et al.3 citations
  83. KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation ↗Ta-Chung Chi, Ting-Han Fan, Peter J. Ramadge et al.3 citations
  84. LIPS - Learning Industrial Physical Simulation Benchmark Suite ↗Milad Leyli-Abadi, Antoine Marot, Jérôme Picault et al.3 citations
  85. Laplacian Autoencoders for Learning Stochastic Representations ↗Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz et al.3 citations
  86. Lazy and Fast Greedy MAP Inference for Determinantal Point Process ↗Shinichi Hemmi, Taihei Oki, Shinsaku Sakaue et al.3 citations
  87. Learn What Matters: Cross-Domain Imitation Learning with Task-Relevant Embeddings ↗Tim Franzmeyer, Philip Torr, João F. Henriques3 citations
  88. Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation ↗Moitreya Chatterjee, Narendra Ahuja, Anoop Cherian3 citations
  89. Learning Low-Dimensional Generalizable Natural Features from Retina Using a U-Net ↗Siwei Wang, Benjamin D. Hoshal, Elizabeth A. de Laittre et al.3 citations
  90. Learning Optical Flow from Continuous Spike Streams ↗Rui Zhao, Ruiqin Xiong, Jing Zhao et al.3 citations
  91. Learning Options Via Compression ↗Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach et al.3 citations
  92. Learning Physics Constrained Dynamics Using Autoencoders ↗Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan et al.3 citations
  93. Learning Sparse Features Can Lead to Overfitting in Neural Networks ↗Leonardo Petrini, Francesco Cagnetta, Eric Vanden-Eijnden et al.3 citations
  94. Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis ↗Jonathan Laurent, André Platzer3 citations
  95. Learning-Augmented Algorithms for Online Linear and Semidefinite Programming ↗Elena Grigorescu, Young-San Lin, Sandeep Silwal et al.3 citations
  96. Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions ↗Wei Zhang, Yanjun Han, Zhengyuan Zhou et al.3 citations
  97. Linear TreeShap ↗Yu Peng, Albert Bifet, Jesse Read et al.3 citations
  98. Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy ↗Jordan Awan, Jinshuo Dong3 citations
  99. Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing ↗Yonggan Fu, Yang Zhang, Kaizhi Qian et al.3 citations
  100. Low-Rank Modular Reinforcement Learning Via Muscle Synergy ↗Heng Dong, Tonghan Wang, Jiayuan Liu et al.3 citations

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