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NeurIPS 2022: all accepted papers

2,834 papers · page 1 of 29 · the most cited first · ← NeurIPS 2022

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  1. Chain-Of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans et al.2,547 citations
  2. Large Language Models Are Zero-Shot ReasonersTakeshi Kojima, Shixiang (Shane) Gu, Machel Reid et al.1,557 citations · our summary
  3. Training Language Models to Follow Instructions with Human FeedbackLong Ouyang, Jeffrey Wu, Xu Jiang et al.1,387 citations
  4. The Surprising Effectiveness of PPO in Cooperative Multi-Agent GamesChao Yu, Akash Velu, Eugene Vinitsky et al.1,027 citations
  5. FlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessTri Dao, Daniel Y. Fu, Stefano Ermon et al.1,020 citations
  6. Flamingo: A Visual Language Model for Few-Shot LearningJean-Baptiste Alayrac, Jeff Donahue, Pauline Luc et al.894 citations
  7. Training Compute-Optimal Large Language ModelsJordan Hoffmann, Sebastian Borgeaud, Arthur Mensch et al.832 citations · our summary
  8. Why Do Tree-Based Models Still Outperform Deep Learning on Typical Tabular Data?Léo Grinsztajn, Edouard Oyallon, Gael P. Varoquaux759 citations
  9. VideoMAE: Masked Autoencoders Are Data-Efficient Learners for Self-Supervised Video Pre-TrainingZhan Tong, Zhan Tong, Jue Wang et al.725 citations
  10. SegNeXt: Rethinking Convolutional Attention Design for Semantic SegmentationMeng-Hao Guo, Cheng-Ze Lu, Qibin Hou et al.657 citations
  11. Elucidating the Design Space of Diffusion-Based Generative ModelsTero Karras, Miika Aittala, Timo Aila et al.538 citations
  12. Photorealistic Text-To-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena et al.530 citations
  13. ViTPose: Simple Vision Transformer Baselines for Human Pose EstimationYufei Xu, Jing Zhang, Qiming Zhang et al.501 citations
  14. Non-Stationary Transformers: Exploring the Stationarity in Time Series ForecastingYong Liu, Haixu Wu, Jianmin Wang et al.497 citations
  15. DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 StepsCheng Lu, Yuhao Zhou, Fan Bao et al.464 citations
  16. AdaptFormer: Adapting Vision Transformers for Scalable Visual RecognitionShoufa Chen, Chongjian Ge, Zhan Tong et al.451 citations
  17. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningHaokun Liu, Derek Tam, Mohammed Muqeeth et al.377 citations · our summary
  18. Learn to Explain: Multimodal Reasoning Via Thought Chains for Science Question AnsweringPan Lu, Swaroop Ranjan Mishra, Tanglin Xia et al.362 citations
  19. EfficientFormer: Vision Transformers at MobileNet SpeedYanyu Li, Geng Yuan, Yang Wen et al.351 citations
  20. Denoising Diffusion Restoration ModelsBahjat Kawar, Michael Elad, Stefano Ermon et al.349 citations
  21. SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionMinhao Liu, Ailing Zeng, Muxi Chen et al.339 citations
  22. GhostNetV2: Enhance Cheap Operation with Long-Range AttentionYehui Tang, Kai Han, Jianyuan Guo et al.336 citations
  23. Solving Quantitative Reasoning Problems with Language ModelsAitor Lewkowycz, Anders Andreassen, David Dohan et al.328 citations · our summary
  24. Recipe for a General, Powerful, Scalable Graph TransformerLadislav Rampášek, Michael Galkin, Vijay Prakash Dwivedi et al.321 citations
  25. LAION-5B: An Open Large-Scale Dataset for Training Next Generation Image-Text ModelsChristoph G. Schuhmann, Romain Beaumont, Richard Vencu et al.309 citations
  26. Point Transformer V2: Grouped Vector Attention and Partition-Based PoolingXiaoyang Wu, Yixing Lao, Li Jiang et al.307 citations
  27. VLMo: Unified Vision-Language Pre-Training with Mixture-Of-Modality-ExpertsHangbo Bao, Wenhui Wang, Li Dong et al.301 citations
  28. MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force FieldsIlyes Batatia, Dávid Péter Kovács, Gregor N. C. Simm et al.283 citations
  29. LLM.int8(): 8-Bit Matrix Multiplication for Transformers at ScaleTim Dettmers, Mike Lewis, Younes Belkada et al.276 citations
  30. Masked Autoencoders as Spatiotemporal LearnersChristoph Feichtenhofer, Haoqi Fan, Yanghao Li et al.273 citations
  31. AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationYuanfeng Ji, Haotian Bai, Chongjian Ge et al.264 citations
  32. Vision GNN: An Image is Worth Graph of NodesKai Han, Yunhe Wang, Jianyuan Guo et al.251 citations
  33. Video Diffusion ModelsJonathan Ho, Tim Salimans, Alexey A. Gritsenko et al.244 citations
  34. GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from ImagesJun Gao, Tianchang Shen, Zian Wang et al.233 citations
  35. SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite ImageryYezhen Cong, Samar Khanna, Chenlin Meng et al.232 citations
  36. HorNet: Efficient High-Order Spatial Interactions with Recursive Gated ConvolutionsYongming Rao, Wenliang Zhao, Yansong Tang et al.217 citations
  37. MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface ReconstructionZehao Yu, Songyou Peng, Michael Niemeyer et al.203 citations
  38. Self-Supervised Contrastive Pre-Training for Time Series Via Time-Frequency ConsistencyXiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis et al.203 citations
  39. PointNeXt: Revisiting PointNet++ with Improved Training and Scaling StrategiesGuocheng Qian, Yuchen Li, Houwen Peng et al.199 citations
  40. A Unified Model for Multi-Class Anomaly DetectionZhiyuan You, Lei Cui, Yujun Shen et al.197 citations
  41. Focal Modulation NetworksJianwei Yang, Chunyuan Li, Xiyang Dai et al.193 citations
  42. Knowledge Distillation from a Stronger TeacherTao Huang, Shan You, Fei Wang et al.179 citations
  43. TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure PredictionWei Lu, Qifeng Wu, Jixian Zhang et al.178 citations
  44. Where2comm: Communication-Efficient Collaborative Perception Via Spatial Confidence MapsYue Hu, Shaoheng Fang, Zixing Lei et al.175 citations
  45. Cross Aggregation Transformer for Image RestorationZheng Chen, Yulun Zhang, Jinjin Gu et al.172 citations
  46. FiLM: Frequency Improved Legendre Memory Model for Long-Term Time Series ForecastingTian Zhou, Ziqing Ma, Xue Wang et al.169 citations
  47. GLIPv2: Unifying Localization and Vision-Language UnderstandingHaotian Zhang, Pengchuan Zhang, Xiaowei Hu et al.162 citations
  48. Mixture-Of-Experts with Expert Choice RoutingYanqi Zhou, Tao Lei, Hanxiao Liu et al.158 citations
  49. STaR: Bootstrapping Reasoning with ReasoningEric Zelikman, Yuhuai Wu, Jesse Mu et al.158 citations · our summary
  50. Point-M2AE: Multi-Scale Masked Autoencoders for Hierarchical Point Cloud Pre-TrainingRenrui Zhang, Peng Gao, Peng Gao et al.154 citations
  51. Improving Diffusion Models for Inverse Problems Using Manifold ConstraintsHyungjin Chung, Byeongsu Sim, Dohoon Ryu et al.153 citations
  52. Fast Vision Transformers with HiLo AttentionZizheng Pan, Jianfei Cai, Bohan Zhuang147 citations
  53. CogView2: Faster and Better Text-To-Image Generation Via Hierarchical TransformersMing Ding, Wendi Zheng, Wenyi Hong et al.144 citations
  54. Masked Autoencoders that ListenPo-Yao Huang, Hu Xu, Juncheng Li et al.144 citations
  55. MEMO: Test Time Robustness Via Adaptation and AugmentationMarvin Zhang, Sergey Levine, Chelsea Finn143 citations
  56. Motion Transformer with Global Intention Localization and Local Movement RefinementShaoshuai Shi, Li Jiang, Dengxin Dai et al.143 citations
  57. Decomposing NeRF for Editing Via Feature Field DistillationSosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann141 citations
  58. Towards Robust Blind Face Restoration with Codebook Lookup TransformerShangchen Zhou, Kelvin C. K. Chan, Chongyi Li et al.140 citations
  59. Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein StructuresShitong Luo, Yufeng Su, Jian Peng et al.139 citations
  60. ProcTHOR: Large-Scale Embodied AI Using Procedural GenerationMatt Deitke, Eli VanderBilt, Alvaro Herrasti et al.138 citations
  61. Multi-Agent Reinforcement Learning is a Sequence Modeling ProblemMuning Wen, Jakub Grudzien Kuba, Runji Lin et al.136 citations
  62. Trajectory-Guided Control Prediction for End-To-End Autonomous Driving: A Simple Yet Strong BaselinePenghao Wu, Xiaosong Jia, Li Chen et al.132 citations
  63. Locating and Editing Factual Associations in GPTKevin Meng, David Anthony Bau, Alex Andonian et al.129 citations
  64. Recurrent Video Restoration Transformer with Guided Deformable AttentionJingyun Liang, Yuchen Fan, Xiaoyu Xiang et al.127 citations
  65. CodeRL: Mastering Code Generation Through Pretrained Models and Deep Reinforcement LearningHung Le, Yue Wang, Akhilesh Deepak Gotmare et al.121 citations · our summary
  66. BEVFusion: A Simple and Robust LiDAR-Camera Fusion FrameworkTingting Liang, Hongwei Xie, Kaicheng Yu et al.120 citations
  67. Beyond Neural Scaling Laws: Beating Power Law Scaling Via Data PruningBen Sorscher, Robert Geirhos, Shashank Shekhar et al.120 citations · our summary
  68. Flexible Diffusion Modeling of Long VideosWilliam Harvey, Saeid Naderiparizi, Vaden Masrani et al.120 citations
  69. Fine-Tuning Language Models to Find Agreement Among Humans with Diverse PreferencesMichiel A. Bakker, Martin J. Chadwick, Hannah Sheahan et al.118 citations
  70. On the Parameterization and Initialization of Diagonal State Space ModelsAlbert Gu, Karan Goel, Ankit Gupta et al.115 citations
  71. Brain Network TransformerXuan Kan, Wei Dai, Hejie Cui et al.113 citations
  72. Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-View ReconstructionQiancheng Fu, Qingshan Xu, Yew Soon Ong et al.111 citations
  73. CLIPDraw: Exploring Text-To-Drawing Synthesis Through Language-Image EncodersKevin Frans, Lisa B. Soros, Olaf Witkowski110 citations
  74. NodeFormer: A Scalable Graph Structure Learning Transformer for Node ClassificationQitian Wu, Wentao Zhao, Zenan Li et al.105 citations
  75. Two-Stream Network for Sign Language Recognition and TranslationYutong Chen, Ronglai Zuo, Fangyun Wei et al.105 citations
  76. RTFormer: Efficient Design for Real-Time Semantic Segmentation with TransformerJian Wang, Chenhui Gou, Qiman Wu et al.104 citations
  77. ShuffleMixer: An Efficient ConvNet for Image Super-ResolutionLong Sun, Jinshan Pan, Jinhui Tang104 citations
  78. ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersZhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang et al.104 citations · our summary
  79. Deep Bidirectional Language-Knowledge Graph PretrainingMichihiro Yasunaga, Antoine Bosselut, Hongyu Ren et al.103 citations
  80. Federated Learning from Pre-Trained Models: A Contrastive Learning ApproachYue Tan, Guodong Long, Jie Ma et al.103 citations
  81. Transformer Memory as a Differentiable Search IndexYi Tay, Vinh Tran, Mostafa Dehghani et al.103 citations · our summary
  82. ST-Adapter: Parameter-Efficient Image-To-Video Transfer LearningJunting Pan, Ziyi Lin, Xiatian Zhu et al.102 citations
  83. DeepInteraction: 3D Object Detection Via Modality InteractionZeyu Yang, Jiaqi Chen, Zhenwei Miao et al.100 citations
  84. LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer LearningYi-Lin Sung, Jaemin Cho, Mohit Bansal100 citations
  85. WebShop: Towards Scalable Real-World Web Interaction with Grounded Language AgentsShunyu Yao, Howard Chen, John Jeongseok Yang et al.100 citations · our summary
  86. Multi-Granularity Cross-Modal Alignment for Generalized Medical Visual Representation LearningFuying Wang, Yuyin Zhou, Shujun Wang et al.98 citations
  87. OpenXAI: Towards a Transparent Evaluation of Model ExplanationsChirag Agarwal, Satyapriya Krishna, Eshika Saxena et al.98 citations
  88. On-Device Training Under 256KB MemoryJi Lin, Ligeng Zhu, Wei-Ming Chen et al.96 citations
  89. Diagonal State Spaces Are as Effective as Structured State SpacesAnkit Gupta, Albert Gu, Jonathan Berant95 citations
  90. Multimodal Contrastive Learning with LIMoE: The Language-Image Mixture of ExpertsBasil Mustafa, Carlos Riquelme, Joan Puigcerver et al.94 citations
  91. SegViT: Semantic Segmentation with Plain Vision TransformersBowen Zhang, Zhi Tian, Quan Tang et al.94 citations
  92. What Can Transformers Learn In-Context? a Case Study of Simple Function ClassesShivam Garg, Dimitris Tsipras, Percy Liang et al.94 citations
  93. Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive ImagingYuanhao Cai, Jing Fung Lin, Haoqian Wang et al.92 citations
  94. FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model ExtractionSamiul Alam, Luyang Liu, Ming Yan et al.92 citations
  95. A Contrastive Framework for Neural Text GenerationYixuan Su, Tian Lan, Yan Wang et al.88 citations
  96. Revisiting Heterophily for Graph Neural NetworksSitao Luan, Chenqing Hua, Qincheng Lu et al.88 citations
  97. Visual Prompting Via Image InpaintingAmir Bar, Yossi Gandelsman, Trevor Jackson Darrell et al.88 citations
  98. PDEBench: An Extensive Benchmark for Scientific Machine LearningMakoto Takamoto, Timothy Praditia, Raphael Leiteritz et al.87 citations
  99. EGSDE: Unpaired Image-To-Image Translation Via Energy-Guided Stochastic Differential EquationsMin Zhao, Fan Bao, Chongxuan Li et al.86 citations
  100. Squeezeformer: An Efficient Transformer for Automatic Speech RecognitionSehoon Kim, Amir Gholami, Albert Shaw et al.83 citations

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