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NeurIPS 2022: all accepted papers

2,834 papers · page 13 of 29 · the most cited first · ← NeurIPS 2022

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  1. DivBO: Diversity-Aware CASH for Ensemble Learning ↗Yu Shen, Yupeng Lu, Yang Li et al.5 citations
  2. Do Residual Neural Networks Discretize Neural Ordinary Differential Equations? ↗Michael E. Sander, Pierre Ablin, Gabriel Peyré A5 citations
  3. Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift ↗Zeyang Zhang, Xin Eric Wang, Ziwei Zhang et al.5 citations
  4. EZNAS: Evolving Zero-Cost Proxies for Neural Architecture Scoring ↗Yash Akhauri, Juan Munoz, Nilesh Jain et al.5 citations
  5. Efficient Aggregated Kernel Tests Using Incomplete U-Statistics ↗Antonin Schrab, Ilmun Kim, Benjamin Guedj et al.5 citations
  6. Efficient Meta Reinforcement Learning for Preference-Based Fast Adaptation ↗Zhizhou Ren, Anji Liu, Yitao Liang et al.5 citations
  7. Emergent Graphical Conventions in a Visual Communication Game ↗Shuwen Qiu, Sirui Xie, Lifeng Fan et al.5 citations
  8. Equivariant Networks for Crystal Structures ↗Oumar Kaba, Siamak Ravanbakhsh5 citations
  9. Evaluating Out-Of-Distribution Performance on Document Image Classifiers ↗Stefan Larson, Yi Yang Gordon Lim, Yutong Ai et al.5 citations
  10. Exploring Length Generalization in Large Language Models ↗Cem Anil, Yuhuai Wu, Anders Andreassen et al.5 citations
  11. Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting ↗Prasanna Sattigeri, Soumya K. Ghosh, Inkit Padhi et al.5 citations
  12. Falconn++: A Locality-Sensitive Filtering Approach for Approximate Nearest Neighbor Search ↗Ninh Pham, Tao Liu5 citations
  13. Fast Neural Kernel Embeddings for General Activations ↗Insu Han, Amir Zandieh, Jaehoon Lee et al.5 citations
  14. First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data ↗Mao Ye, Lemeng Wu, Qiang Liu5 citations
  15. First is Better than Last for Language Data Influence ↗Chih‐Kuan Yeh, Ankur Taly, Mukund Sundararajan et al.5 citations
  16. First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces ↗Michael I. Jordan, Tianyi Lin, Emmanouil-Vasileios Vlatakis-Gkaragkounis5 citations
  17. Flexible Neural Image Compression Via Code Editing ↗Chenjian Gao, Tongda Xu, Dailan He et al.5 citations
  18. Formulating Robustness Against Unforeseen Attacks ↗Sihui Dai, Saeed Mahloujifar, Prateek Mittal5 citations
  19. Generalization Analysis of Message Passing Neural Networks on Large Random Graphs ↗Sohir Maskey, Ron Levie, Yunseok Lee et al.5 citations
  20. Generalization Bounds for Estimating Causal Effects of Continuous Treatments ↗Xin Eric Wang, Shengfei Lyu, Xingyu Wu et al.5 citations
  21. How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents ↗Yoav Kolumbus, Noam Nisan5 citations
  22. Improved Algorithms for Neural Active Learning ↗Yikun Ban, Yuheng Zhang, Hanghang Tong et al.5 citations
  23. Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions ↗Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao5 citations
  24. Improving Certified Robustness Via Statistical Learning with Logical Reasoning ↗Zhuolin Yang, Zhikuan Zhao, Boxin Wang et al.5 citations
  25. Improving Policy Learning Via Language Dynamics Distillation ↗Victor Zhong, Jesse Mu, Luke Zettlemoyer et al.5 citations
  26. Information Bottleneck Theory of High-Dimensional Regression: Relevancy, Efficiency and Optimality ↗Vudtiwat Ngampruetikorn, David J. Schwab5 citations
  27. Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties ↗Zeren Shui, Daniel S. Karls, Mingjian Wen et al.5 citations
  28. InsNet: An Efficient, Flexible, and Performant Insertion-Based Text Generation Model ↗Sidi Lu, Tao Meng, Nanyun Peng5 citations
  29. Instance-Based Learning for Knowledge Base Completion ↗Wanyun Cui, Xingran Chen5 citations
  30. Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees ↗Jonathan Brophy, Daniel Lowd5 citations
  31. Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments ↗Yining Chen, Elan Rosenfeld, Mark Sellke et al.5 citations
  32. LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning ↗Xi Chen, Ali Ghadirzadeh, Tianhe Yu et al.5 citations
  33. LGDN: Language-Guided Denoising Network for Video-Language Modeling ↗Haoyu Lu, Mingyu Ding, Nanyi Fei et al.5 citations
  34. Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels ↗Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang5 citations
  35. Learning Chaotic Dynamics in Dissipative Systems ↗Zongyi Li, Miguel Liu-Schiaffini, Nikola Kovachki et al.5 citations
  36. Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds ↗Junsheng Zhou, Baorui Ma, Yu-Shen Liu et al.5 citations
  37. Learning Dynamical Systems Via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces ↗Vladimir R. Kostic, Pietro Novelli, Andreas Maurer et al.5 citations
  38. Learning Graph-Embedded Key-Event Back-Tracing for Object Tracking in Event Clouds ↗Zhiyu Zhu, Junhui Hou, Xianqiang Lyu5 citations
  39. Learning Partial Equivariances from Data ↗David W. Romero, Suhas Lohit5 citations
  40. Learning from Label Proportions by Learning with Label Noise ↗Jianxin Zhang, Yutong Wang, Clayton D. Scott5 citations
  41. Learning in Observable POMDPs, Without Computationally Intractable Oracles ↗Noah Golowich, Ankur Moitra, Dhruv Rohatgi5 citations
  42. Learning to Compare Nodes in Branch and Bound with Graph Neural Networks ↗Abdel Ghani Labassi, Didier Chételat, Andrea Lodi5 citations
  43. LieGG: Studying Learned Lie Group Generators ↗Artem Moskalev, Anna Sepliarskaia, Ivan Sosnovik et al.5 citations
  44. Local Bayesian Optimization Via Maximizing Probability of Descent ↗Quan Nguyen, Kaiwen Wu, Jacob R Gardner et al.5 citations
  45. Local Latent Space Bayesian Optimization Over Structured Inputs ↗Natalie Maus, Haydn T. Jones, Juston Moore et al.5 citations
  46. Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks ↗Mansheej Paul, Brett Larsen, Surya Ganguli et al.5 citations
  47. MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack ↗Yunrui Yu, Xitong Gao, Cheng-Zhong Xu5 citations
  48. MVP-N: A Dataset and Benchmark for Real-World Multi-View Object Classification ↗Ren Wang, Jiayue Wang, Tae Sung Kim et al.5 citations
  49. Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients ↗Kyurae Kim, Jisu Oh, Jacob R Gardner et al.5 citations
  50. Masked Autoencoding for Scalable and Generalizable Decision Making ↗Fangchen Liu, Hao Liu, Aditya Grover et al.5 citations
  51. Masked Generative Adversarial Networks Are Data-Efficient Generation Learners ↗Jiaxing Huang, Kaiwen Cui, Dayan Guan et al.5 citations
  52. Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees ↗Siliang Zeng, Chenliang Li, Alfredo Garcia et al.5 citations
  53. Meta-Reinforcement Learning with Self-Modifying Networks ↗Mathieu Chalvidal, Thomas Serre, Rufin Vanrullen A5 citations
  54. Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo ↗Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato5 citations
  55. MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control ↗Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri et al.5 citations
  56. MoCoDA: Model-Based Counterfactual Data Augmentation ↗Silviu Pitis, Elliot Creager, Ajay Mandlekar et al.5 citations
  57. Model Preserving Compression for Neural Networks ↗Jerry Chee, Megan Flynn, Anil Damle et al.5 citations
  58. Multi-Modal Grouping Network for Weakly-Supervised Audio-Visual Video Parsing ↗Shentong Mo, Yapeng Tian5 citations
  59. Multi-Objective Deep Data Generation with Correlated Property Control ↗Shiyu Wang, XiaoJie Guo, Xuanyang Lin et al.5 citations
  60. Near-Optimal Multi-Agent Learning for Safe Coverage Control ↗Manish Kumar Prajapat, Matteo Turchetta, Melanie N. Zeilinger et al.5 citations
  61. Near-Optimal No-Regret Learning Dynamics for General Convex Games ↗Gabriele Farina, Ioannis Anagnostides, Haipeng Luo et al.5 citations
  62. Non-Stationary Bandits with Knapsacks ↗Shang Liu, Jiashuo Jiang, Xiaocheng Li5 citations
  63. OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics ↗Mohit Prabhushankar, Kiran Kokilepersaud, Yash-Yee Logan et al.5 citations
  64. Old Can Be Gold: Better Gradient Flow Can Make Vanilla-GCNs Great Again ↗Ajay Kumar Jaiswal, Peihao Wang, Tianlong Chen et al.5 citations
  65. On the Adversarial Robustness of Mixture of Experts ↗Joan Puigcerver, Rodolphe Jenatton, Carlos Riquelme et al.5 citations
  66. On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games ↗Runyu Zhang, Jincheng Mei, Bo Dai et al.5 citations
  67. Parameter-Efficient Masking Networks ↗Yue Bai, Huan Wang, Xu Ma et al.5 citations
  68. Parameters Or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference ↗Jasper Tan, Blake Mason, Hamid Javadi et al.5 citations
  69. Physically-Based Face Rendering for NIR-VIS Face Recognition ↗Yunqi Miao, Alexandros Lattas, Jiankang Deng et al.5 citations
  70. Posterior and Computational Uncertainty in Gaussian Processes ↗Jonathan Wenger, Geoff Pleiss, Marvin Pförtner et al.5 citations
  71. Private Estimation with Public Data ↗Alex Bie, Gautam Kamath, Vikrant Singhal5 citations
  72. Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design ↗Jörg K. H. Franke, Frederic Runge, Frank Hutter5 citations
  73. Promising Or Elusive? Unsupervised Object Segmentation from Real-World Single Images ↗Yafei Yang, BO Yang5 citations
  74. Quasi-Newton Methods for Saddle Point Problems ↗Chengchang Liu, Luo Luo5 citations
  75. Random Sharpness-Aware Minimization ↗Yong Liu, Siqi Mai, Minhao Cheng et al.5 citations
  76. ReFactor GNNs: Revisiting Factorisation-Based Models from a Message-Passing Perspective ↗Yihong Chen, Pushkar Mishra, Luca Franceschi et al.5 citations
  77. Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm ↗Aidan Good, Jiaqi Lin, Xin Yu et al.5 citations
  78. Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning ↗Yitian Hong, Yaochu Jin, Yang Tang5 citations
  79. Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination ↗Yizhen Zheng, Shirui Pan, Vincent CS Lee et al.5 citations
  80. Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution ↗Khai Nguyen, Nhat Ho5 citations
  81. S2P: State-Conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning ↗Daesol Cho, Dongseok Shim, H. Jin Kim5 citations
  82. Self-Supervised Fair Representation Learning Without Demographics ↗Junyi Chai, Xiaoqian Wang5 citations
  83. Self-Supervised Learning Through Efference Copies ↗Franz Scherr, Qinghai Guo, Timoleon Moraitis5 citations
  84. Semantic Uncertainty Intervals for Disentangled Latent Spaces ↗Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates et al.5 citations
  85. Sharp Analysis of Stochastic Optimization Under Global Kurdyka-Lojasiewicz Inequality ↗Ilyas Fatkhullin, Jalal Etesami, Niao He et al.5 citations
  86. Sparse Interaction Additive Networks Via Feature Interaction Detection and Sparse Selection ↗James Enouen, Yan Liu5 citations
  87. TarGF: Learning Target Gradient Field to Rearrange Objects Without Explicit Goal Specification ↗Mingdong Wu, Fangwei Zhong, Yulong Xia et al.5 citations
  88. Task Discovery: Finding the Tasks that Neural Networks Generalize on ↗Andrei Atanov, Andrei Filatov, Teresa Yeo et al.5 citations
  89. TempEL: Linking Dynamically Evolving and Newly Emerging Entities ↗Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu et al.5 citations
  90. Tensor Wheel Decomposition and Its Tensor Completion Application ↗Zhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng et al.5 citations
  91. The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World ↗William Gaviria Rojas, Sudnya Diamos, Keertan Ranjan Kini et al.5 citations
  92. Toward Understanding Privileged Features Distillation in Learning-To-Rank ↗Shuo Yang, Sujay Sanghavi, Holakou Rahmanian et al.5 citations
  93. Towards Out-Of-Distribution Sequential Event Prediction: A Causal Treatment ↗Chenxiao Yang, Qingsong Wen, Qingsong Wen et al.5 citations
  94. Triangulation Candidates for Bayesian Optimization ↗Robert B. Gramacy, Annie Sauer, Nathan Wycoff5 citations
  95. Tsetlin Machine for Solving Contextual Bandit Problems ↗Raihan Seraj, Jivitesh Sharma, Ole‐Christoffer Granmo5 citations
  96. Understanding Benign Overfitting in Gradient-Based Meta Learning ↗Lisha Chen, Songtao Lu, Tianyi Chen5 citations
  97. Understanding Robust Learning Through the Lens of Representation Similarities ↗Christian Cianfarani, Arjun Nitin Bhagoji, Vikash Sehwag et al.5 citations
  98. Unsupervised Adaptation from Repeated Traversals for Autonomous Driving ↗Yurong You, Cheng Perng Phoo, Katie Z Luo et al.5 citations
  99. VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning ↗Che Wang, Xufang Luo, Keith W. Ross et al.5 citations
  100. Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning ↗Grigory Malinovsky, Kai Yi, Peter Richtárik5 citations

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