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NeurIPS 2020 — accepted papers

NeurIPS 2020 is the 2020 edition of the Conference on Neural Information Processing Systems (NeurIPS). OpenAlex lists 315 papers of it; our library holds 2 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. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsAlexei Baevski, Yuhao Zhou, Abdelrahman Mohamed et al.379 citations · our summary
  2. Fast Fourier Convolution ↗Lu Chi, Borui Jiang, Yadong Mu206 citations
  3. Unsupervised Data Augmentation for Consistency Training ↗Qizhe Xie, Zihang Dai, Eduard H. Hovy et al.169 citations
  4. Graph Random Neural Networks for Semi-Supervised Learning on Graphs ↗Wenzheng Feng, Jie Zhang, Yuxiao Dong et al.153 citations
  5. Training Generative Adversarial Networks with Limited Data ↗Tero Karras, Miika Aittala, Janne Hellsten et al.130 citations
  6. Domain Generalization via Entropy Regularization ↗Shanshan Zhao, Mingming Gong, Tongliang Liu et al.128 citations
  7. Investigating Gender Bias in Language Models Using Causal Mediation Analysis ↗Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov et al.127 citations
  8. Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains ↗Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall et al.114 citations
  9. Adversarial Sparse Transformer for Time Series Forecasting ↗Sifan Wu, Xi Xiao, Qianggang Ding et al.109 citations

All accepted papers (315)

The most cited first; 2 with our summary link to their page here, the others to the original.

  1. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsAlexei Baevski, Yuhao Zhou, Abdelrahman Mohamed et al.379 citations · our summary
  2. Fast Fourier Convolution ↗Lu Chi, Borui Jiang, Yadong Mu206 citations
  3. Unsupervised Data Augmentation for Consistency Training ↗Qizhe Xie, Zihang Dai, Eduard H. Hovy et al.169 citations
  4. Graph Random Neural Networks for Semi-Supervised Learning on Graphs ↗Wenzheng Feng, Jie Zhang, Yuxiao Dong et al.153 citations
  5. Training Generative Adversarial Networks with Limited Data ↗Tero Karras, Miika Aittala, Janne Hellsten et al.130 citations
  6. Domain Generalization via Entropy Regularization ↗Shanshan Zhao, Mingming Gong, Tongliang Liu et al.128 citations
  7. Investigating Gender Bias in Language Models Using Causal Mediation Analysis ↗Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov et al.127 citations
  8. Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains ↗Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall et al.114 citations
  9. Adversarial Sparse Transformer for Time Series Forecasting ↗Sifan Wu, Xi Xiao, Qianggang Ding et al.109 citations
  10. Graph Contrastive Learning with Augmentations ↗Yuning You, Tianlong Chen, Yongduo Sui et al.105 citations
  11. Learning from Failure: De-biasing Classifier from Biased Classifier ↗Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn et al.94 citations
  12. Ultra-Low Precision 4-bit Training of Deep Neural Networks ↗Xiao Ning Sun, Naigang Wang, Chia‐Yu Chen et al.92 citations
  13. Adversarial Weight Perturbation Helps Robust Generalization ↗Dongxian Wu, Shu‐Tao Xia, Yisen Wang86 citations
  14. How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods ↗Jeya Vikranth Jeyakumar, Joseph Noor, Yu-Hsi Cheng et al.85 citations
  15. UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. ↗Chaoning Zhang, Philipp Benz, Adil Karjauv et al.84 citations
  16. Uncertainty-aware Self-training for Few-shot Text Classification ↗Subhabrata Mukherjee, Ahmed Hassan Awadallah84 citations
  17. FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence ↗Kihyuk Sohn, David Berthelot, Chunliang Li et al.75 citations
  18. CogLTX: Applying BERT to Long Texts ↗Ming Ding, Chang Zhou, Hongxia Yang et al.71 citations
  19. GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis ↗Katja Schwarz, Yiyi Liao, Michael Niemeyer et al.70 citations
  20. Measuring Robustness to Natural Distribution Shifts in Image Classification ↗Rohan Taori, Achal Dave, Vaishaal Shankar et al.69 citations
  21. Evaluating Attribution for Graph Neural Networks ↗Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee et al.66 citations

See all 315 papers in NeurIPS 2020 — accepted papers →

 Papers with our summary in our library (2)

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

  1. Big Bird: Transformers for Longer SequencesConference on Neural Information Processing Systems (NeurIPS)Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 1,002 citations

 Fields

Arts and Humanities (2)Computer Science (2)

 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.

works and citations from OpenAlex and our library.

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