NeurIPS 2022 — accepted papers

NeurIPS 2022 is the 2022 edition of the Conference on Neural Information Processing Systems (NeurIPS). OpenAlex lists 2,834 papers of it; our library holds 17 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

2,834papers in the proceedings 17works in our library 10,783citations of these works

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

Chain-Of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans et al.2,547 citations
Large Language Models Are Zero-Shot ReasonersTakeshi Kojima, Shixiang (Shane) Gu, Machel Reid et al.1,557 citations · our summary
Training Language Models to Follow Instructions with Human FeedbackLong Ouyang, Jeffrey Wu, Xu Jiang et al.1,387 citations
The Surprising Effectiveness of PPO in Cooperative Multi-Agent GamesChao Yu, Akash Velu, Eugene Vinitsky et al.1,027 citations
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessTri Dao, Daniel Y. Fu, Stefano Ermon et al.1,020 citations
Flamingo: A Visual Language Model for Few-Shot LearningJean-Baptiste Alayrac, Jeff Donahue, Pauline Luc et al.894 citations
Training Compute-Optimal Large Language ModelsJordan Hoffmann, Sebastian Borgeaud, Arthur Mensch et al.832 citations · our summary
Why Do Tree-Based Models Still Outperform Deep Learning on Typical Tabular Data?Léo Grinsztajn, Edouard Oyallon, Gael P. Varoquaux759 citations
VideoMAE: Masked Autoencoders Are Data-Efficient Learners for Self-Supervised Video Pre-TrainingZhan Tong, Zhan Tong, Jue Wang et al.725 citations
SegNeXt: Rethinking Convolutional Attention Design for Semantic SegmentationMeng-Hao Guo, Cheng-Ze Lu, Qibin Hou et al.657 citations

All accepted papers (2,834)

The most cited first; 17 with our summary link to their page here, the others to the original.

Chain-Of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans et al.2,547 citations
Large Language Models Are Zero-Shot ReasonersTakeshi Kojima, Shixiang (Shane) Gu, Machel Reid et al.1,557 citations · our summary
Training Language Models to Follow Instructions with Human FeedbackLong Ouyang, Jeffrey Wu, Xu Jiang et al.1,387 citations
The Surprising Effectiveness of PPO in Cooperative Multi-Agent GamesChao Yu, Akash Velu, Eugene Vinitsky et al.1,027 citations
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessTri Dao, Daniel Y. Fu, Stefano Ermon et al.1,020 citations
Flamingo: A Visual Language Model for Few-Shot LearningJean-Baptiste Alayrac, Jeff Donahue, Pauline Luc et al.894 citations
Training Compute-Optimal Large Language ModelsJordan Hoffmann, Sebastian Borgeaud, Arthur Mensch et al.832 citations · our summary
Why Do Tree-Based Models Still Outperform Deep Learning on Typical Tabular Data?Léo Grinsztajn, Edouard Oyallon, Gael P. Varoquaux759 citations
VideoMAE: Masked Autoencoders Are Data-Efficient Learners for Self-Supervised Video Pre-TrainingZhan Tong, Zhan Tong, Jue Wang et al.725 citations
SegNeXt: Rethinking Convolutional Attention Design for Semantic SegmentationMeng-Hao Guo, Cheng-Ze Lu, Qibin Hou et al.657 citations
Elucidating the Design Space of Diffusion-Based Generative ModelsTero Karras, Miika Aittala, Timo Aila et al.538 citations
Photorealistic Text-To-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena et al.530 citations
ViTPose: Simple Vision Transformer Baselines for Human Pose EstimationYufei Xu, Jing Zhang, Qiming Zhang et al.501 citations
Non-Stationary Transformers: Exploring the Stationarity in Time Series ForecastingYong Liu, Haixu Wu, Jianmin Wang et al.497 citations
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 StepsCheng Lu, Yuhao Zhou, Fan Bao et al.464 citations
AdaptFormer: Adapting Vision Transformers for Scalable Visual RecognitionShoufa Chen, Chongjian Ge, Zhan Tong et al.451 citations
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
Learn to Explain: Multimodal Reasoning Via Thought Chains for Science Question AnsweringPan Lu, Swaroop Ranjan Mishra, Tanglin Xia et al.362 citations
EfficientFormer: Vision Transformers at MobileNet SpeedYanyu Li, Geng Yuan, Yang Wen et al.351 citations
Denoising Diffusion Restoration ModelsBahjat Kawar, Michael Elad, Stefano Ermon et al.349 citations
SCINet: Time Series Modeling and Forecasting with Sample Convolution and InteractionMinhao Liu, Ailing Zeng, Muxi Chen et al.339 citations
GhostNetV2: Enhance Cheap Operation with Long-Range AttentionYehui Tang, Kai Han, Jianyuan Guo et al.336 citations
Solving Quantitative Reasoning Problems with Language ModelsAitor Lewkowycz, Anders Andreassen, David Dohan et al.328 citations · our summary
Recipe for a General, Powerful, Scalable Graph TransformerLadislav Rampášek, Michael Galkin, Vijay Prakash Dwivedi et al.321 citations
LAION-5B: An Open Large-Scale Dataset for Training Next Generation Image-Text ModelsChristoph G. Schuhmann, Romain Beaumont, Richard Vencu et al.309 citations

See all 2,834 papers in NeurIPS 2022 — accepted papers →

Papers with our summary in our library (17)

The most cited first (OpenAlex citations plus our library's).

Fields

Computer Science (17)Arts and Humanities (14)Mathematics (1)

Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

works and citations from OpenAlex and our library.

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📰 NeurIPS 2022 — accepted papers

Most cited papers

All accepted papers (2,834)

📄 Papers with our summary in our library (17)

🧭 Top topics

📚 Fields

🧑‍🔬 Top authors

NeurIPS 2022 — accepted papers

Papers with our summary in our library (17)

Top topics

Fields

Top authors