---
title: "NeurIPS 2022 — all accepted papers — the most cited first"
description: "All 2,834 papers of NeurIPS 2022 · page 1 of 29, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/"
---
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# NeurIPS 2022: all accepted papers

2,834 papers · page 1 of 29 · the most cited first · [← NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/)

**1** [2](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/10/) … [29](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/29/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/2/)

1. **[Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models ↗](https://doi.org/10.52202/068431-1800)**Jason Wei, Xuezhi Wang, Dale Schuurmans et al.*2,547 citations*
2. **[Large Language Models Are Zero-Shot Reasoners](https://md.research.elamur.ai/free/en/papers/kojima-2022-large-language-models-zero-shot/)**Takeshi Kojima, Shixiang (Shane) Gu, Machel Reid et al.*1,557 citations · our summary*
3. **[Training Language Models to Follow Instructions with Human Feedback ↗](https://doi.org/10.52202/068431-2011)**Long Ouyang, Jeffrey Wu, Xu Jiang et al.*1,387 citations*
4. **[The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games ↗](https://doi.org/10.52202/068431-1787)**Chao Yu, Akash Velu, Eugene Vinitsky et al.*1,027 citations*
5. **[FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness ↗](https://doi.org/10.52202/068431-1189)**Tri Dao, Daniel Y. Fu, Stefano Ermon et al.*1,020 citations*
6. **[Flamingo: A Visual Language Model for Few-Shot Learning ↗](https://doi.org/10.52202/068431-1723)**Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc et al.*894 citations*
7. **[Training Compute-Optimal Large Language Models](https://md.research.elamur.ai/free/en/papers/hoffmann-2022-training-compute-optimal-large-language/)**Jordan 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? ↗](https://doi.org/10.52202/068431-0037)**Léo Grinsztajn, Edouard Oyallon, Gael P. Varoquaux*759 citations*
9. **[VideoMAE: Masked Autoencoders Are Data-Efficient Learners for Self-Supervised Video Pre-Training ↗](https://doi.org/10.52202/068431-0732)**Zhan Tong, Zhan Tong, Jue Wang et al.*725 citations*
10. **[SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation ↗](https://doi.org/10.52202/068431-0084)**Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou et al.*657 citations*
11. **[Elucidating the Design Space of Diffusion-Based Generative Models ↗](https://doi.org/10.52202/068431-1926)**Tero Karras, Miika Aittala, Timo Aila et al.*538 citations*
12. **[Photorealistic Text-To-Image Diffusion Models with Deep Language Understanding ↗](https://doi.org/10.52202/068431-2643)**Chitwan Saharia, William Chan, Saurabh Saxena et al.*530 citations*
13. **[ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation ↗](https://doi.org/10.52202/068431-2795)**Yufei Xu, Jing Zhang, Qiming Zhang et al.*501 citations*
14. **[Non-Stationary Transformers: Exploring the Stationarity in Time Series Forecasting ↗](https://doi.org/10.52202/068431-0718)**Yong Liu, Haixu Wu, Jianmin Wang et al.*497 citations*
15. **[DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps ↗](https://doi.org/10.52202/068431-0418)**Cheng Lu, Yuhao Zhou, Fan Bao et al.*464 citations*
16. **[AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition ↗](https://doi.org/10.52202/068431-1212)**Shoufa Chen, Chongjian Ge, Zhan Tong et al.*451 citations*
17. **[Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning](https://md.research.elamur.ai/free/en/papers/liu-2022-few-shot-parameter-efficient-fine/)**Haokun Liu, Derek Tam, Mohammed Muqeeth et al.*377 citations · our summary*
18. **[Learn to Explain: Multimodal Reasoning Via Thought Chains for Science Question Answering ↗](https://doi.org/10.52202/068431-0182)**Pan Lu, Swaroop Ranjan Mishra, Tanglin Xia et al.*362 citations*
19. **[EfficientFormer: Vision Transformers at MobileNet Speed ↗](https://doi.org/10.52202/068431-0940)**Yanyu Li, Geng Yuan, Yang Wen et al.*351 citations*
20. **[Denoising Diffusion Restoration Models ↗](https://doi.org/10.52202/068431-1714)**Bahjat Kawar, Michael Elad, Stefano Ermon et al.*349 citations*
21. **[SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction ↗](https://doi.org/10.52202/068431-0421)**Minhao Liu, Ailing Zeng, Muxi Chen et al.*339 citations*
22. **[GhostNetV2: Enhance Cheap Operation with Long-Range Attention ↗](https://doi.org/10.52202/068431-0724)**Yehui Tang, Kai Han, Jianyuan Guo et al.*336 citations*
23. **[Solving Quantitative Reasoning Problems with Language Models](https://md.research.elamur.ai/free/en/papers/lewkowycz-2022-solving-quantitative-reasoning-problems-language/)**Aitor Lewkowycz, Anders Andreassen, David Dohan et al.*328 citations · our summary*
24. **[Recipe for a General, Powerful, Scalable Graph Transformer ↗](https://doi.org/10.52202/068431-1054)**Ladislav Rampášek, Michael Galkin, Vijay Prakash Dwivedi et al.*321 citations*
25. **[LAION-5B: An Open Large-Scale Dataset for Training Next Generation Image-Text Models ↗](https://doi.org/10.52202/068431-1833)**Christoph G. Schuhmann, Romain Beaumont, Richard Vencu et al.*309 citations*
26. **[Point Transformer V2: Grouped Vector Attention and Partition-Based Pooling ↗](https://doi.org/10.52202/068431-2415)**Xiaoyang Wu, Yixing Lao, Li Jiang et al.*307 citations*
27. **[VLMo: Unified Vision-Language Pre-Training with Mixture-Of-Modality-Experts ↗](https://doi.org/10.52202/068431-2384)**Hangbo Bao, Wenhui Wang, Li Dong et al.*301 citations*
28. **[MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields ↗](https://doi.org/10.52202/068431-0830)**Ilyes Batatia, Dávid Péter Kovács, Gregor N. C. Simm et al.*283 citations*
29. **[LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale ↗](https://doi.org/10.52202/068431-2198)**Tim Dettmers, Mike Lewis, Younes Belkada et al.*276 citations*
30. **[Masked Autoencoders as Spatiotemporal Learners ↗](https://doi.org/10.52202/068431-2605)**Christoph Feichtenhofer, Haoqi Fan, Yanghao Li et al.*273 citations*
31. **[AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation ↗](https://doi.org/10.52202/068431-2661)**Yuanfeng Ji, Haotian Bai, Chongjian Ge et al.*264 citations*
32. **[Vision GNN: An Image is Worth Graph of Nodes ↗](https://doi.org/10.52202/068431-0603)**Kai Han, Yunhe Wang, Jianyuan Guo et al.*251 citations*
33. **[Video Diffusion Models ↗](https://doi.org/10.52202/068431-0628)**Jonathan Ho, Tim Salimans, Alexey A. Gritsenko et al.*244 citations*
34. **[GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images ↗](https://doi.org/10.52202/068431-2308)**Jun Gao, Tianchang Shen, Zian Wang et al.*233 citations*
35. **[SatMAE: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery ↗](https://doi.org/10.52202/068431-0015)**Yezhen Cong, Samar Khanna, Chenlin Meng et al.*232 citations*
36. **[HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions ↗](https://doi.org/10.52202/068431-0752)**Yongming Rao, Wenliang Zhao, Yansong Tang et al.*217 citations*
37. **[MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction ↗](https://doi.org/10.52202/068431-1814)**Zehao Yu, Songyou Peng, Michael Niemeyer et al.*203 citations*
38. **[Self-Supervised Contrastive Pre-Training for Time Series Via Time-Frequency Consistency ↗](https://doi.org/10.52202/068431-0288)**Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis et al.*203 citations*
39. **[PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies ↗](https://doi.org/10.52202/068431-1685)**Guocheng Qian, Yuchen Li, Houwen Peng et al.*199 citations*
40. **[A Unified Model for Multi-Class Anomaly Detection ↗](https://doi.org/10.52202/068431-0330)**Zhiyuan You, Lei Cui, Yujun Shen et al.*197 citations*
41. **[Focal Modulation Networks ↗](https://doi.org/10.52202/068431-0304)**Jianwei Yang, Chunyuan Li, Xiyang Dai et al.*193 citations*
42. **[Knowledge Distillation from a Stronger Teacher ↗](https://doi.org/10.52202/068431-2443)**Tao Huang, Shan You, Fei Wang et al.*179 citations*
43. **[TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction ↗](https://doi.org/10.52202/068431-0525)**Wei Lu, Qifeng Wu, Jixian Zhang et al.*178 citations*
44. **[Where2comm: Communication-Efficient Collaborative Perception Via Spatial Confidence Maps ↗](https://doi.org/10.52202/068431-0352)**Yue Hu, Shaoheng Fang, Zixing Lei et al.*175 citations*
45. **[Cross Aggregation Transformer for Image Restoration ↗](https://doi.org/10.52202/068431-1847)**Zheng Chen, Yulun Zhang, Jinjin Gu et al.*172 citations*
46. **[FiLM: Frequency Improved Legendre Memory Model for Long-Term Time Series Forecasting ↗](https://doi.org/10.52202/068431-0921)**Tian Zhou, Ziqing Ma, Xue Wang et al.*169 citations*
47. **[GLIPv2: Unifying Localization and Vision-Language Understanding ↗](https://doi.org/10.52202/068431-2614)**Haotian Zhang, Pengchuan Zhang, Xiaowei Hu et al.*162 citations*
48. **[Mixture-Of-Experts with Expert Choice Routing ↗](https://doi.org/10.52202/068431-0515)**Yanqi Zhou, Tao Lei, Hanxiao Liu et al.*158 citations*
49. **[STaR: Bootstrapping Reasoning with Reasoning](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/)**Eric Zelikman, Yuhuai Wu, Jesse Mu et al.*158 citations · our summary*
50. **[Point-M2AE: Multi-Scale Masked Autoencoders for Hierarchical Point Cloud Pre-Training ↗](https://doi.org/10.52202/068431-1962)**Renrui Zhang, Peng Gao, Peng Gao et al.*154 citations*
51. **[Improving Diffusion Models for Inverse Problems Using Manifold Constraints ↗](https://doi.org/10.52202/068431-1862)**Hyungjin Chung, Byeongsu Sim, Dohoon Ryu et al.*153 citations*
52. **[Fast Vision Transformers with HiLo Attention ↗](https://doi.org/10.52202/068431-1057)**Zizheng Pan, Jianfei Cai, Bohan Zhuang*147 citations*
53. **[CogView2: Faster and Better Text-To-Image Generation Via Hierarchical Transformers ↗](https://doi.org/10.52202/068431-1229)**Ming Ding, Wendi Zheng, Wenyi Hong et al.*144 citations*
54. **[Masked Autoencoders that Listen ↗](https://doi.org/10.52202/068431-2081)**Po-Yao Huang, Hu Xu, Juncheng Li et al.*144 citations*
55. **[MEMO: Test Time Robustness Via Adaptation and Augmentation ↗](https://doi.org/10.52202/068431-2799)**Marvin Zhang, Sergey Levine, Chelsea Finn*143 citations*
56. **[Motion Transformer with Global Intention Localization and Local Movement Refinement ↗](https://doi.org/10.52202/068431-0473)**Shaoshuai Shi, Li Jiang, Dengxin Dai et al.*143 citations*
57. **[Decomposing NeRF for Editing Via Feature Field Distillation ↗](https://doi.org/10.52202/068431-1694)**Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann*141 citations*
58. **[Towards Robust Blind Face Restoration with Codebook Lookup Transformer ↗](https://doi.org/10.52202/068431-2218)**Shangchen 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 Structures ↗](https://doi.org/10.52202/068431-0709)**Shitong Luo, Yufeng Su, Jian Peng et al.*139 citations*
60. **[ProcTHOR: Large-Scale Embodied AI Using Procedural Generation ↗](https://doi.org/10.52202/068431-0433)**Matt Deitke, Eli VanderBilt, Alvaro Herrasti et al.*138 citations*
61. **[Multi-Agent Reinforcement Learning is a Sequence Modeling Problem ↗](https://doi.org/10.52202/068431-1201)**Muning 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 Baseline ↗](https://doi.org/10.52202/068431-0443)**Penghao Wu, Xiaosong Jia, Li Chen et al.*132 citations*
63. **[Locating and Editing Factual Associations in GPT ↗](https://doi.org/10.52202/068431-1262)**Kevin Meng, David Anthony Bau, Alex Andonian et al.*129 citations*
64. **[Recurrent Video Restoration Transformer with Guided Deformable Attention ↗](https://doi.org/10.52202/068431-0028)**Jingyun Liang, Yuchen Fan, Xiaoyu Xiang et al.*127 citations*
65. **[CodeRL: Mastering Code Generation Through Pretrained Models and Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/le-2022-coderl-mastering-code-generation-through/)**Hung Le, Yue Wang, Akhilesh Deepak Gotmare et al.*121 citations · our summary*
66. **[BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework ↗](https://doi.org/10.52202/068431-0757)**Tingting Liang, Hongwei Xie, Kaicheng Yu et al.*120 citations*
67. **[Beyond Neural Scaling Laws: Beating Power Law Scaling Via Data Pruning](https://md.research.elamur.ai/free/en/papers/sorscher-2022-neural-scaling-laws-beating-power/)**Ben Sorscher, Robert Geirhos, Shashank Shekhar et al.*120 citations · our summary*
68. **[Flexible Diffusion Modeling of Long Videos ↗](https://doi.org/10.52202/068431-2027)**William Harvey, Saeid Naderiparizi, Vaden Masrani et al.*120 citations*
69. **[Fine-Tuning Language Models to Find Agreement Among Humans with Diverse Preferences ↗](https://doi.org/10.52202/068431-2766)**Michiel A. Bakker, Martin J. Chadwick, Hannah Sheahan et al.*118 citations*
70. **[On the Parameterization and Initialization of Diagonal State Space Models ↗](https://doi.org/10.52202/068431-2607)**Albert Gu, Karan Goel, Ankit Gupta et al.*115 citations*
71. **[Brain Network Transformer ↗](https://doi.org/10.52202/068431-1855)**Xuan Kan, Wei Dai, Hejie Cui et al.*113 citations*
72. **[Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-View Reconstruction ↗](https://doi.org/10.52202/068431-0246)**Qiancheng Fu, Qingshan Xu, Yew Soon Ong et al.*111 citations*
73. **[CLIPDraw: Exploring Text-To-Drawing Synthesis Through Language-Image Encoders ↗](https://doi.org/10.52202/068431-0376)**Kevin Frans, Lisa B. Soros, Olaf Witkowski*110 citations*
74. **[NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification ↗](https://doi.org/10.52202/068431-1986)**Qitian Wu, Wentao Zhao, Zenan Li et al.*105 citations*
75. **[Two-Stream Network for Sign Language Recognition and Translation ↗](https://doi.org/10.52202/068431-1240)**Yutong Chen, Ronglai Zuo, Fangyun Wei et al.*105 citations*
76. **[RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer ↗](https://doi.org/10.52202/068431-0539)**Jian Wang, Chenhui Gou, Qiman Wu et al.*104 citations*
77. **[ShuffleMixer: An Efficient ConvNet for Image Super-Resolution ↗](https://doi.org/10.52202/068431-1259)**Long Sun, Jinshan Pan, Jinhui Tang*104 citations*
78. **[ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers](https://md.research.elamur.ai/free/en/papers/yao-2022-zeroquant-efficient-affordable-post-training/)**Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang et al.*104 citations · our summary*
79. **[Deep Bidirectional Language-Knowledge Graph Pretraining ↗](https://doi.org/10.52202/068431-2704)**Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren et al.*103 citations*
80. **[Federated Learning from Pre-Trained Models: A Contrastive Learning Approach ↗](https://doi.org/10.52202/068431-1405)**Yue Tan, Guodong Long, Jie Ma et al.*103 citations*
81. **[Transformer Memory as a Differentiable Search Index](https://md.research.elamur.ai/free/en/papers/tay-2022-transformer-memory-differentiable-search-index/)**Yi Tay, Vinh Tran, Mostafa Dehghani et al.*103 citations · our summary*
82. **[ST-Adapter: Parameter-Efficient Image-To-Video Transfer Learning ↗](https://doi.org/10.52202/068431-1919)**Junting Pan, Ziyi Lin, Xiatian Zhu et al.*102 citations*
83. **[DeepInteraction: 3D Object Detection Via Modality Interaction ↗](https://doi.org/10.52202/068431-0145)**Zeyu Yang, Jiaqi Chen, Zhenwei Miao et al.*100 citations*
84. **[LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning ↗](https://doi.org/10.52202/068431-0944)**Yi-Lin Sung, Jaemin Cho, Mohit Bansal*100 citations*
85. **[WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents](https://md.research.elamur.ai/free/en/papers/yao-2022-webshop-towards-scalable-real-world/)**Shunyu Yao, Howard Chen, John Jeongseok Yang et al.*100 citations · our summary*
86. **[Multi-Granularity Cross-Modal Alignment for Generalized Medical Visual Representation Learning ↗](https://doi.org/10.52202/068431-2430)**Fuying Wang, Yuyin Zhou, Shujun Wang et al.*98 citations*
87. **[OpenXAI: Towards a Transparent Evaluation of Model Explanations ↗](https://doi.org/10.52202/068431-1148)**Chirag Agarwal, Satyapriya Krishna, Eshika Saxena et al.*98 citations*
88. **[On-Device Training Under 256KB Memory ↗](https://doi.org/10.52202/068431-1667)**Ji Lin, Ligeng Zhu, Wei-Ming Chen et al.*96 citations*
89. **[Diagonal State Spaces Are as Effective as Structured State Spaces ↗](https://doi.org/10.52202/068431-1670)**Ankit Gupta, Albert Gu, Jonathan Berant*95 citations*
90. **[Multimodal Contrastive Learning with LIMoE: The Language-Image Mixture of Experts ↗](https://doi.org/10.52202/068431-0695)**Basil Mustafa, Carlos Riquelme, Joan Puigcerver et al.*94 citations*
91. **[SegViT: Semantic Segmentation with Plain Vision Transformers ↗](https://doi.org/10.52202/068431-0359)**Bowen Zhang, Zhi Tian, Quan Tang et al.*94 citations*
92. **[What Can Transformers Learn In-Context? a Case Study of Simple Function Classes ↗](https://doi.org/10.52202/068431-2217)**Shivam Garg, Dimitris Tsipras, Percy Liang et al.*94 citations*
93. **[Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging ↗](https://doi.org/10.52202/068431-2736)**Yuanhao Cai, Jing Fung Lin, Haoqian Wang et al.*92 citations*
94. **[FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction ↗](https://doi.org/10.52202/068431-2152)**Samiul Alam, Luyang Liu, Ming Yan et al.*92 citations*
95. **[A Contrastive Framework for Neural Text Generation ↗](https://doi.org/10.52202/068431-1566)**Yixuan Su, Tian Lan, Yan Wang et al.*88 citations*
96. **[Revisiting Heterophily for Graph Neural Networks ↗](https://doi.org/10.52202/068431-0100)**Sitao Luan, Chenqing Hua, Qincheng Lu et al.*88 citations*
97. **[Visual Prompting Via Image Inpainting ↗](https://doi.org/10.52202/068431-1813)**Amir Bar, Yossi Gandelsman, Trevor Jackson Darrell et al.*88 citations*
98. **[PDEBench: An Extensive Benchmark for Scientific Machine Learning ↗](https://doi.org/10.52202/068431-0117)**Makoto Takamoto, Timothy Praditia, Raphael Leiteritz et al.*87 citations*
99. **[EGSDE: Unpaired Image-To-Image Translation Via Energy-Guided Stochastic Differential Equations ↗](https://doi.org/10.52202/068431-0261)**Min Zhao, Fan Bao, Chongxuan Li et al.*86 citations*
100. **[Squeezeformer: An Efficient Transformer for Automatic Speech Recognition ↗](https://doi.org/10.52202/068431-0680)**Sehoon Kim, Amir Gholami, Albert Shaw et al.*83 citations*

**1** [2](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/10/) … [29](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/29/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/2/)

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