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NeurIPS 2022: all accepted papers

2,834 papers · page 9 of 29 · the most cited first · ← NeurIPS 2022

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  1. Robust Feature-Level Adversaries Are Interpretability Tools ↗Stephen Casper, Max Nadeau, Dylan Hadfield-Menell et al.10 citations
  2. Robust Semi-Supervised Learning When Not All Classes Have Labels ↗Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu et al.10 citations
  3. Robustness Analysis of Video-Language Models Against Visual and Language Perturbations ↗Madeline C. Schiappa, Shruti Vyas, Hamid Palangi et al.10 citations
  4. SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification ↗Xiyue Wang, Jinxi Xiang, Jun Zhang et al.10 citations
  5. Safety Guarantees for Neural Network Dynamic Systems Via Stochastic Barrier Functions ↗Rayan Mazouz, Karan Muvvala, Akash Ratheesh Babu et al.10 citations
  6. Sample-Efficient Reinforcement Learning of Partially Observable Markov Games ↗Qinghua Liu, Csaba Szepesvári, Chi Jin10 citations
  7. Scalable Interpretability Via Polynomials ↗Abhimanyu Dubey, Filip Radenović, Dhruv Mahajan10 citations
  8. Selective Compression Learning of Latent Representations for Variable-Rate Image Compression ↗Jooyoung Lee, Seyoon Jeong, Munchurl Kim10 citations
  9. Self-Supervised Image Restoration with Blurry and Noisy Pairs ↗Zhilu Zhang, Rongjian Xu, Ming Liu et al.10 citations
  10. Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances ↗Sloan Nietert, Ziv Goldfeld, Ritwik Sadhu et al.10 citations
  11. Structure-Aware Image Segmentation with Homotopy Warping ↗Xiaoling Hu10 citations
  12. TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation ↗Pengfei Li, Beiwen Tian, Yongliang Shi et al.10 citations
  13. TTOpt: A Maximum Volume Quantized Tensor Train-Based Optimization and Its Application to Reinforcement Learning ↗Konstantin Sozykin, Andrei Chertkov, Roman Schutski et al.10 citations
  14. Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning ↗Arsène Fansi Tchango, Rishab Goel, Julien Martel et al.10 citations
  15. Transformers from an Optimization Perspective ↗Yongyi Yang, Zengfeng Huang, David Wipf10 citations
  16. Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty ↗Jaehoon Oh, Sungnyun Kim, Namgyu Ho et al.10 citations
  17. VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids ↗Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv et al.10 citations
  18. Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning ↗Yujia Xie, Luowei Zhou, Xiyang Dai et al.10 citations
  19. When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-And-Online Reinforcement Learning ↗Haoyi Niu, Shubham Sharma, Yiwen Qiu et al.10 citations
  20. 4D Unsupervised Object Discovery ↗Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang9 citations
  21. Adam Can Converge Without Any Modification on Update Rules ↗Yushun Zhang, Congliang Chen, Naichen Shi et al.9 citations
  22. Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency ↗Viraj Prabhu, Sriram Yenamandra, Aaditya Singh et al.9 citations
  23. Adversarial Training for High-Stakes Reliability ↗Daniel Ziegler, Seraphina Nix, Lawrence Chan et al.9 citations
  24. Alignment-Guided Temporal Attention for Video Action Recognition ↗Yizhou Zhao, Zhenyang Li, Xun Guo et al.9 citations
  25. Alleviating the Sample Selection Bias in Few-Shot Learning by Removing Projection to the Centroid ↗Jing Xu, Xu Luo, Xinglin Pan et al.9 citations
  26. Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms ↗Hui En Pang, Zhongang Cai, Lei Yang et al.9 citations
  27. C2FAR: Coarse-To-Fine Autoregressive Networks for Precise Probabilistic Forecasting ↗Shane Bergsma, Tim Zeyl, Javad Rahimi Pour Anaraki et al.9 citations
  28. CascadeXML: Rethinking Transformers for End-To-End Multi-Resolution Training in Extreme Multi-Label Classification ↗Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis et al.9 citations
  29. Data-IQ: Characterizing Subgroups with Heterogeneous Outcomes in Tabular Data ↗Nabeel Seedat, Jonathan Crabbé, Ioana Bica et al.9 citations
  30. Decision-Focused Learning Without Decision-Making: Learning Locally Optimized Decision Losses ↗Sanket Shah, Kai Wang, Bryan Wilder et al.9 citations
  31. Deep Equilibrium Approaches to Diffusion Models ↗Ashwini Pokle, Zhengyang Geng, J. Zico Kolter9 citations
  32. Distinguishing Discrete and Continuous Behavioral Variability Using Warped Autoregressive HMMs ↗Julia C. Costacurta, Lea Duncker, Blue Sheffer et al.9 citations
  33. Distributed Distributionally Robust Optimization with Non-Convex Objectives ↗Yang Jiao, Kai Yang, Dongjin Song9 citations
  34. Exploring the Latent Space of Autoencoders with Interventional Assays ↗Felix Leeb, Stefan Bauer, Michel Besserve et al.9 citations
  35. First Contact: Unsupervised Human-Machine Co-Adaptation Via Mutual Information Maximization ↗Siddharth Reddy, Sergey Levine, Anca Dragan9 citations
  36. GALOIS: Boosting Deep Reinforcement Learning Via Generalizable Logic Synthesis ↗Yushi Cao, Zhiming Li, Tianpei Yang et al.9 citations
  37. Graph Neural Networks with Adaptive Readouts ↗David Buterez, Jon Paul Janet, Steven John Kiddle et al.9 citations
  38. Graph Reordering for Cache-Efficient Near Neighbor Search ↗Benjamin Coleman, Santiago Segarra, Alexander Smola et al.9 citations
  39. Hand-Object Interaction Image Generation ↗Hezhen Hu, Weilun Wang, Wengang Zhou et al.9 citations
  40. Hierarchical Graph Transformer with Adaptive Node Sampling ↗Zaixi Zhang, Qi Liu, Qingyong Hu et al.9 citations
  41. High-Order Pooling for Graph Neural Networks with Tensor Decomposition ↗Chenqing Hua, Guillaume Rabusseau, Jian Guo Tang9 citations
  42. IM-Loss: Information Maximization Loss for Spiking Neural Networks ↗Yufei Guo, Yuanpei Chen, Liwen Zhang et al.9 citations
  43. Identifiability of Deep Generative Models Without Auxiliary Information ↗Bohdan Kivva, Goutham Rajendran, Pradeep Ravikumar et al.9 citations
  44. Inherently Explainable Reinforcement Learning in Natural Language ↗Xiangyu Peng, Mark Riedl, Prithviraj Ammanabrolu9 citations
  45. Inverse Game Theory for Stackelberg Games: The Blessing of Bounded Rationality ↗Jibang Wu, Weiran Shen, Fei Fang et al.9 citations
  46. Is Integer Arithmetic Enough for Deep Learning Training? ↗Alireza Ghaffari, Marzieh S. Tahaei, Vahid Partovi Nia et al.9 citations
  47. Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models ↗Minting Pan, Xiangming Zhu, Yunbo Wang et al.9 citations
  48. Joint Entropy Search for Maximally-Informed Bayesian Optimization ↗Carl Hvarfner, Frank Hutter, Luigi Nardi9 citations
  49. LISA: Learning Interpretable Skill Abstractions from Language ↗Divyansh Garg, Skanda Vaidyanath, Kuno Kim et al.9 citations
  50. Label-Invariant Augmentation for Semi-Supervised Graph Classification ↗Han Yue, Chunhui Zhang, Chunhui Zhang et al.9 citations
  51. MAgNet: Mesh Agnostic Neural PDE Solver ↗Oussama Boussif, Yoshua Bengio, Loubna Benabbou et al.9 citations
  52. MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators ↗Jinyoung Olivia Choi, Bohyung Han9 citations
  53. Modeling Human Exploration Through Resource-Rational Reinforcement Learning ↗Marcel Binz, Eric Schulz9 citations
  54. Modeling the Machine Learning Multiverse ↗Samuel J. Bell, Onno Pepijn Kampman, Jesse Dodge et al.9 citations
  55. Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence ↗Sunghwan Hong, Jisu Nam, Seokju Cho et al.9 citations
  56. On the Identifiability of Nonlinear ICA: Sparsity and Beyond ↗Yujia Zheng, Ignavier Ng, Yujia Zheng9 citations
  57. Optimal Algorithms for Decentralized Stochastic Variational Inequalities ↗Dmitry Kovalev, Aleksandr Beznosikov, Abdurakhmon Sadiev et al.9 citations
  58. Polynomial Time Guarantees for the Burer-Monteiro Method ↗Diego Cifuentes, Ankur Moitra9 citations
  59. Practical Adversarial Multivalid Conformal Prediction ↗Osbert Bastani, Varun Gupta, Christopher Jung et al.9 citations
  60. Pre-Trained Adversarial Perturbations ↗Yuanhao Ban, Yinpeng Dong9 citations
  61. Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection ↗Shizhen Zhao, Xiaojuan Qi9 citations
  62. RankFeat: Rank-1 Feature Removal for Out-Of-Distribution Detection ↗Yue Song, Nicu Sebe, Wei Wang9 citations
  63. Robustness to Unbounded Smoothness of Generalized SignSGD ↗Michael Crawshaw, Mingrui Liu, Francesco Orabona et al.9 citations
  64. SAViT: Structure-Aware Vision Transformer Pruning Via Collaborative Optimization ↗Chuanyang Zheng, Zheyang Li, Kai Zhang et al.9 citations
  65. SNAKE: Shape-Aware Neural 3D Keypoint Field ↗Chengliang Zhong, Peixing You, Xiaoxue Chen et al.9 citations
  66. Scaling Multimodal Pre-Training Via Cross-Modality Gradient Harmonization ↗Junru Wu, Yi Liang, Feng Han et al.9 citations
  67. Simultaneous Missing Value Imputation and Structure Learning with Groups ↗Pablo Morales-Álvarez, Wenbo Gong, Angus Lamb et al.9 citations
  68. SnAKe: Bayesian Optimization with Pathwise Exploration ↗Jose Pablo Folch, Shiqiang Zhang, Robert Lee et al.9 citations
  69. Structure-Preserving 3D Garment Modeling with Neural Sewing Machines ↗Xipeng Chen, Guangrun Wang, Dizhong Zhu et al.9 citations
  70. The Policy-Gradient Placement and Generative Routing Neural Networks for Chip Design ↗Ruoyu Cheng, Xianglong Lyu, Yang Li et al.9 citations
  71. The Price of Ignorance: How Much Does it Cost to Forget Noise Structure in Low-Rank Matrix Estimation? ↗Jean Barbier, TianQi Hou, Marco Mondelli et al.9 citations
  72. Toward Robust Spiking Neural Network Against Adversarial Perturbation ↗Ling Liang, Xing Hu, Xing Hu et al.9 citations
  73. Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation ↗Ioana Bica, Mihaela Van Der Schaar9 citations
  74. Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment ↗Daniel Vera Nieto, Luigi Celona, Clara Fernandez Labrador9 citations
  75. VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement ↗Erik Wijmans, Irfan A. Essa, Dhruv Batra9 citations
  76. VectorAdam for Rotation Equivariant Geometry Optimization ↗Selena Ling, Nicholas Sharp, Alec Jacobson9 citations
  77. Wasserstein K-Means for Clustering Probability Distributions ↗Yubo Zhuang, Xiaohui Chen, Yun Yang9 citations
  78. What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment ↗Nathan Kallus9 citations
  79. A Theoretical Framework for Inference Learning ↗Nick Alonso, Beren Millidge, Jeffrey Krichmar et al.8 citations
  80. A2: Efficient Automated Attacker for Boosting Adversarial Training ↗Zhuoer Xu, Guanghui Zhu, Changhua Meng et al.8 citations
  81. Action-Modulated Midbrain Dopamine Activity Arises from Distributed Control Policies ↗Jack W. Lindsey, Ashok Litwin-Kumar8 citations
  82. An Efficient Graph Generative Model for Navigating Ultra-Large Combinatorial Synthesis Libraries ↗Aryan Pedawi, Paweł Gniewek, Chaoyi Chang et al.8 citations
  83. AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies ↗Li Siyao, Yuhang Li, Bo Li et al.8 citations
  84. Anytime-Valid Inference for Multinomial Count Data ↗Michael Lindon, Alan Malek8 citations
  85. Ask4Help: Learning to Leverage an Expert for Embodied Tasks ↗Kunal Pratap Singh, Luca Weihs, Alvaro Herrasti et al.8 citations
  86. Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays ↗Konstantin Mishchenko, Francis Bach, Mathieu Even et al.8 citations
  87. Autoregressive Perturbations for Data Poisoning ↗Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping et al.8 citations
  88. Bidirectional Learning for Offline Infinite-Width Model-Based Optimization ↗Can (Sam) Chen, Yingxueff Zhang, Jie Fu et al.8 citations
  89. Biologically Plausible Solutions for Spiking Networks with Efficient Coding ↗Veronika Koren, Stefano Panzeri8 citations
  90. CGLB: Benchmark Tasks for Continual Graph Learning ↗Xikun Zhang, Dongjin Song, Dacheng Tao8 citations
  91. DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning ↗Siqi Xu, Lin Liu, Zhonghua Liu8 citations
  92. DreamShard: Generalizable Embedding Table Placement for Recommender Systems ↗Daochen Zha, Louis Feng, Qiaoyu Tan et al.8 citations
  93. EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-Guided RL ↗Thomas Carta, Pierre‐Yves Oudeyer, Olivier Sigaud et al.8 citations
  94. Efficient Risk-Averse Reinforcement Learning ↗Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh et al.8 citations
  95. Enhancing Safe Exploration Using Safety State Augmentation ↗Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang et al.8 citations
  96. Exploring Evolution-Aware & -Free Protein Language Models as Protein Function Predictors ↗Mingyang Hu, Fajie Yuan, Kevin Yang et al.8 citations
  97. FR: Folded Rationalization with a Unified Encoder ↗Wei Liu, Haozhao Wang, Jun Wang et al.8 citations
  98. Factored Adaptation for Non-Stationary Reinforcement Learning ↗Fan Feng, Biwei Huang, Kun Zhang et al.8 citations
  99. Feature-Proxy Transformer for Few-Shot Segmentation ↗Jian-Wei Zhang, Yifan Sun, Yi Ping Yang et al.8 citations
  100. Forecasting Human Trajectory from Scene History ↗Mancheng Meng, Ziyan Wu, Terrence Chen et al.8 citations

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