---
title: "NeurIPS 2021 — accepted papers — Elamur Research"
description: "NeurIPS 2021 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2021/"
---
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# 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.

[**481** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2021/#works) · [**191** citations of these works](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2021/#works)

## 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 Representation ↗](https://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-05234)**Chengxuan Ying, Tianle Cai, Shengjie Luo et al.*358 citations*
2. **[HRFormer: High-Resolution Vision Transformer for Dense Predict ↗](https://proceedings.neurips.cc/paper/2021/file/3bbfdde8842a5c44a0323518eec97cbe-Paper.pdf)**Yuhui Yuan, Rao Fu, Lang Huang et al.*152 citations*
3. **[Artistic Style Transfer with Internal-external Learning and Contrastive Learning ↗](https://proceedings.neurips.cc/paper/2021/file/df5354693177e83e8ba089e94b7b6b55-Paper.pdf)**Haibo Chen, Lei Zhao, Zhizhong Wang et al.*121 citations*
4. **[Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks ↗](https://papers.nips.cc/paper/2021/hash/c4ca4238a0b923820dcc509a6f75849b-Abstract.html)**Yuhang Li, Yufei Guo, Shanghang Zhang et al.*103 citations*
5. **[Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification ↗](https://papers.nips.cc/paper/2021/hash/fac7fead96dafceaf80c1daffeae82a4-Abstract.html)**Shiqi Wang, Huan Zhang, Kaidi Xu et al.*93 citations*
6. **[Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization ↗](https://openreview.net/forum?id=e_yvNqkJKAW)**Yusuke Iwasawa, Yutaka Matsuo*80 citations*
7. **[Relative Uncertainty Learning for Facial Expression Recognition ↗](http://proceedings.neurips.cc/paper/2021/file/9332c513ef44b682e9347822c2e457ac-Paper.pdf)**Yuhang Zhang, Chengrui Wang, Weihong Deng*76 citations*
8. **[Focal Attention for Long-Range Interactions in Vision Transformers ↗](https://proceedings.neurips.cc/paper/2021/file/fc1a36821b02abbd2503fd949bfc9131-Paper.pdf)**Jianwei Yang, Chunyuan Li, Pengchuan Zhang et al.*74 citations*
9. **[Class-Incremental Learning via Dual Augmentation ↗](http://proceedings.neurips.cc/paper/2021/file/77ee3bc58ce560b86c2b59363281e914-Paper.pdf)**Fei Zhu, Zhen Cheng, Xu-Yao Zhang et al.*66 citations*
10. **[TokenLearner: Adaptive Space-Time Tokenization for Videos ↗](https://proceedings.neurips.cc/paper/2021/file/6a30e32e56fce5cf381895dfe6ca7b6f-Paper.pdf)**Michael 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 Representation ↗](https://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-05234)**Chengxuan Ying, Tianle Cai, Shengjie Luo et al.*358 citations*
2. **[HRFormer: High-Resolution Vision Transformer for Dense Predict ↗](https://proceedings.neurips.cc/paper/2021/file/3bbfdde8842a5c44a0323518eec97cbe-Paper.pdf)**Yuhui Yuan, Rao Fu, Lang Huang et al.*152 citations*
3. **[Artistic Style Transfer with Internal-external Learning and Contrastive Learning ↗](https://proceedings.neurips.cc/paper/2021/file/df5354693177e83e8ba089e94b7b6b55-Paper.pdf)**Haibo Chen, Lei Zhao, Zhizhong Wang et al.*121 citations*
4. **[Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks ↗](https://papers.nips.cc/paper/2021/hash/c4ca4238a0b923820dcc509a6f75849b-Abstract.html)**Yuhang Li, Yufei Guo, Shanghang Zhang et al.*103 citations*
5. **[Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification ↗](https://papers.nips.cc/paper/2021/hash/fac7fead96dafceaf80c1daffeae82a4-Abstract.html)**Shiqi Wang, Huan Zhang, Kaidi Xu et al.*93 citations*
6. **[Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization ↗](https://openreview.net/forum?id=e_yvNqkJKAW)**Yusuke Iwasawa, Yutaka Matsuo*80 citations*
7. **[Relative Uncertainty Learning for Facial Expression Recognition ↗](http://proceedings.neurips.cc/paper/2021/file/9332c513ef44b682e9347822c2e457ac-Paper.pdf)**Yuhang Zhang, Chengrui Wang, Weihong Deng*76 citations*
8. **[Focal Attention for Long-Range Interactions in Vision Transformers ↗](https://proceedings.neurips.cc/paper/2021/file/fc1a36821b02abbd2503fd949bfc9131-Paper.pdf)**Jianwei Yang, Chunyuan Li, Pengchuan Zhang et al.*74 citations*
9. **[Class-Incremental Learning via Dual Augmentation ↗](http://proceedings.neurips.cc/paper/2021/file/77ee3bc58ce560b86c2b59363281e914-Paper.pdf)**Fei Zhu, Zhen Cheng, Xu-Yao Zhang et al.*66 citations*
10. **[TokenLearner: Adaptive Space-Time Tokenization for Videos ↗](https://proceedings.neurips.cc/paper/2021/file/6a30e32e56fce5cf381895dfe6ca7b6f-Paper.pdf)**Michael S. Ryoo, AJ Piergiovanni, Anurag Arnab et al.*66 citations*
11. **[Learning with Noisy Correspondence for Cross-modal Matching ↗](https://papers.nips.cc/paper/2021/hash/f5e62af885293cf4d511ceef31e61c80-Abstract.html)**Zhenyu Huang, Guocheng Niu, Xiao Liu et al.*61 citations*
12. **[Detecting Moments and Highlights in Videos via Natural Language Queries ↗](http://proceedings.neurips.cc/paper/2021/file/62e0973455fd26eb03e91d5741a4a3bb-Paper.pdf)**Jie Lei, Tamara L. Berg, Mohit Bansal*58 citations*
13. **[MAU: A Motion-Aware Unit for Video Prediction and Beyond ↗](https://openreview.net/forum?id=qwtfY-3ibt7)**Zheng Chang, Xinfeng Zhang, Shanshe Wang et al.*56 citations*
14. **[Universal Graph Convolutional Networks ↗](http://proceedings.neurips.cc/paper/2021/file/5857d68cd9280bc98d079fa912fd6740-Paper.pdf)**Di Jin, Zhizhi Yu, Cuiying Huo et al.*54 citations*
15. **[Revisiting Time Series Outlier Detection: Definitions and Benchmarks ↗](https://openreview.net/pdf?id=r8IvOsnHchr)**Kwei-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 Problems ↗](http://proceedings.neurips.cc/paper/2021/file/c6a01432c8138d46ba39957a8250e027-Paper.pdf)**Yi Ma, Xiaotian Hao, Jianye Hao et al.*49 citations*
17. **[Cross-view Geo-localization with Layer-to-Layer Transformer ↗](https://papers.nips.cc/paper/2021/hash/f31b20466ae89669f9741e047487eb37-Abstract.html)**Hongji Yang, Xiufan Lu, Yingying Zhu*48 citations*
18. **[PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization ↗](http://proceedings.neurips.cc/paper/2021/file/c429429bf1f2af051f2021dc92a8ebea-Paper.pdf)**Benyuan Sun, Hongxing Huo, Yi Yang et al.*44 citations*
19. **[UniDoc: Unified Pretraining Framework for Document Understanding ↗](https://proceedings.neurips.cc/paper/2021/file/0084ae4bc24c0795d1e6a4f58444d39b-Paper.pdf)**Jiuxiang Gu, Jason Kuen, Vlad I. Morariu et al.*43 citations*
20. **[COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening ↗](https://openreview.net/pdf?id=9KArJb4r5ZQ)**Xia Tong, Dimitris Spathis, Chlo e Brown et al.*38 citations*
21. **[Debiased Visual Question Answering from Feature and Sample Perspectives ↗](http://proceedings.neurips.cc/paper/2021/file/1f4477bad7af3616c1f933a02bfabe4e-Paper.pdf)**Zhiquan Wen, Guanghui Xu, Mingkui Tan et al.*38 citations*
22. **[Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation ↗](https://openreview.net/pdf?id=dYGFRxCf7P)**Weiming Liu, Jiajie Su, Chaochao Chen et al.*38 citations*
23. **[Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence ↗](https://papers.nips.cc/paper/2021/hash/61f3a6dbc9120ea78ef75544826c814e-Abstract.html)**Deng-Bao Wang, Lei Feng, Min-Ling Zhang*38 citations*
24. **[Backdoor Attack with Imperceptible Input and Latent Modification ↗](https://proceedings.neurips.cc/paper/2021/file/9d99197e2ebf03fc388d09f1e94af89b-Paper.pdf)**Khoa D. Doan, Yingjie Lao, Ping Li*36 citations*
25. **[Confident Anchor-Induced Multi-Source Free Domain Adaptation ↗](https://papers.nips.cc/paper/2021/hash/168908dd3227b8358eababa07fcaf091-Abstract.html)**Jiahua Dong, Zhen Fang, Anjin Liu et al.*36 citations*

[See all 481 papers in NeurIPS 2021 — accepted papers →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2021/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 Averaging](https://md.research.elamur.ai/free/en/papers/matena-2021-merging-models-fisher-weighted-averaging/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Michael Matena, Colin Raffel*2021 · 191 citations*

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Colin Raffel**1 work here · 191 citations](https://md.research.elamur.ai/free/en/authors/colin-raffel/) · [🧑‍🔬**Michael Matena**1 work here · 191 citations](https://md.research.elamur.ai/free/en/authors/michael-matena/)

## Top institutions

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

[🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/)

works and citations from OpenAlex and our library.

- [← previous NeurIPS 2020](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/)
- [next → NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/)
- [↑ back to NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)