📰 NeurIPS 2021 — accepted papers

NeurIPS 2021 is the 2021 edition of the Conference on Neural Information Processing Systems (NeurIPS). OpenAlex lists 481 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

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

1. Do Transformers Really Perform Badly for Graph RepresentationChengxuan Ying, Tianle Cai, Shengjie Luo et al.358 citations
2. HRFormer: High-Resolution Vision Transformer for Dense PredictYuhui Yuan, Rao Fu, Lang Huang et al.152 citations
3. Artistic Style Transfer with Internal-external Learning and Contrastive LearningHaibo Chen, Lei Zhao, Zhizhong Wang et al.121 citations
4. Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural NetworksYuhang Li, Yufei Guo, Shanghang Zhang et al.103 citations
5. Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness VerificationShiqi Wang, Huan Zhang, Kaidi Xu et al.93 citations
6. Test-Time Classifier Adjustment Module for Model-Agnostic Domain GeneralizationYusuke Iwasawa, Yutaka Matsuo80 citations
7. Relative Uncertainty Learning for Facial Expression RecognitionYuhang Zhang, Chengrui Wang, Weihong Deng76 citations
8. Focal Attention for Long-Range Interactions in Vision TransformersJianwei Yang, Chunyuan Li, Pengchuan Zhang et al.74 citations
9. Class-Incremental Learning via Dual AugmentationFei Zhu, Zhen Cheng, Xu-Yao Zhang et al.66 citations
10. TokenLearner: Adaptive Space-Time Tokenization for VideosMichael S. Ryoo, AJ Piergiovanni, Anurag Arnab et al.66 citations

All accepted papers (481)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. Do Transformers Really Perform Badly for Graph RepresentationChengxuan Ying, Tianle Cai, Shengjie Luo et al.358 citations
2. HRFormer: High-Resolution Vision Transformer for Dense PredictYuhui Yuan, Rao Fu, Lang Huang et al.152 citations
3. Artistic Style Transfer with Internal-external Learning and Contrastive LearningHaibo Chen, Lei Zhao, Zhizhong Wang et al.121 citations
4. Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural NetworksYuhang Li, Yufei Guo, Shanghang Zhang et al.103 citations
5. Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness VerificationShiqi Wang, Huan Zhang, Kaidi Xu et al.93 citations
6. Test-Time Classifier Adjustment Module for Model-Agnostic Domain GeneralizationYusuke Iwasawa, Yutaka Matsuo80 citations
7. Relative Uncertainty Learning for Facial Expression RecognitionYuhang Zhang, Chengrui Wang, Weihong Deng76 citations
8. Focal Attention for Long-Range Interactions in Vision TransformersJianwei Yang, Chunyuan Li, Pengchuan Zhang et al.74 citations
9. Class-Incremental Learning via Dual AugmentationFei Zhu, Zhen Cheng, Xu-Yao Zhang et al.66 citations
10. TokenLearner: Adaptive Space-Time Tokenization for VideosMichael S. Ryoo, AJ Piergiovanni, Anurag Arnab et al.66 citations
11. Learning with Noisy Correspondence for Cross-modal MatchingZhenyu Huang, Guocheng Niu, Xiao Liu et al.61 citations
12. Detecting Moments and Highlights in Videos via Natural Language QueriesJie Lei, Tamara L. Berg, Mohit Bansal58 citations
13. MAU: A Motion-Aware Unit for Video Prediction and BeyondZheng Chang, Xinfeng Zhang, Shanshe Wang et al.56 citations
14. Universal Graph Convolutional NetworksDi Jin, Zhizhi Yu, Cuiying Huo et al.54 citations
15. Revisiting Time Series Outlier Detection: Definitions and BenchmarksKwei-Herng Lai, Daochen Zha, Junjie Xu et al.51 citations
16. A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery ProblemsYi Ma, Xiaotian Hao, Jianye Hao et al.49 citations
17. Cross-view Geo-localization with Layer-to-Layer TransformerHongji Yang, Xiufan Lu, Yingying Zhu48 citations
18. PartialFed: Cross-Domain Personalized Federated Learning via Partial InitializationBenyuan Sun, Hongxing Huo, Yi Yang et al.44 citations
19. UniDoc: Unified Pretraining Framework for Document UnderstandingJiuxiang Gu, Jason Kuen, Vlad I. Morariu et al.43 citations
20. COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory ScreeningXia Tong, Dimitris Spathis, Chlo e Brown et al.38 citations
21. Debiased Visual Question Answering from Feature and Sample PerspectivesZhiquan Wen, Guanghui Xu, Mingkui Tan et al.38 citations
22. Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start RecommendationWeiming Liu, Jiajie Su, Chaochao Chen et al.38 citations
23. Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of OverconfidenceDeng-Bao Wang, Lei Feng, Min-Ling Zhang38 citations
24. Backdoor Attack with Imperceptible Input and Latent ModificationKhoa D. Doan, Yingjie Lao, Ping Li36 citations
25. Confident Anchor-Induced Multi-Source Free Domain AdaptationJiahua Dong, Zhen Fang, Anjin Liu et al.36 citations

See all 481 papers in NeurIPS 2021 — accepted papers →

📄 Papers with our summary in our library (1)

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

1. Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 191 citations

📚 Fields

🖥️Computer Science (1)

🧑‍🔬 Top authors

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

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of North Carolina at Chapel HillChapel Hill · United States1 work here

works and citations from OpenAlex and our library.

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