---
title: "NeurIPS 2020 — accepted papers — Elamur Research"
description: "NeurIPS 2020 — accepted papers: 2 papers in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) / 2020

# 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.

[**315** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/#works) · [**2,368** citations of these works](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/#works)

## 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 Representations](https://md.research.elamur.ai/free/en/papers/baevski-2020-wav2vec-2-0-framework-self/)**Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed et al.*379 citations · our summary*
2. **[Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach ↗](https://proceedings.neurips.cc/paper/2020/file/24389bfe4fe2eba8bf9aa9203a44cdad-Paper.pdf)**Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar*363 citations*
3. **[Fast Fourier Convolution ↗](https://proceedings.neurips.cc/paper/2020/file/2fd5d41ec6cfab47e32164d5624269b1-Paper.pdf)**Lu Chi, Borui Jiang, Yadong Mu*206 citations*
4. **[Unsupervised Data Augmentation for Consistency Training ↗](https://openreview.net/pdf?id=ByeL1R4FvS)**Qizhe Xie, Zihang Dai, Eduard H. Hovy et al.*169 citations*
5. **[Graph Random Neural Networks for Semi-Supervised Learning on Graphs ↗](https://proceedings.neurips.cc/paper/2020/file/fb4c835feb0a65cc39739320d7a51c02-Paper.pdf)**Wenzheng Feng, Jie Zhang, Yuxiao Dong et al.*153 citations*
6. **[Training Generative Adversarial Networks with Limited Data ↗](https://proceedings.neurips.cc/paper/2020/file/8d30aa96e72440759f74bd2306c1fa3d-Paper.pdf)**Tero Karras, Miika Aittala, Janne Hellsten et al.*130 citations*
7. **[Domain Generalization via Entropy Regularization ↗](https://proceedings.neurips.cc/paper/2020/file/b98249b38337c5088bbc660d8f872d6a-Paper.pdf)**Shanshan Zhao, Mingming Gong, Tongliang Liu et al.*128 citations*
8. **[Investigating Gender Bias in Language Models Using Causal Mediation Analysis ↗](https://proceedings.neurips.cc/paper/2020/file/92650b2e92217715fe312e6fa7b90d82-Paper.pdf)**Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov et al.*127 citations*
9. **[Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains ↗](https://proceedings.neurips.cc/paper/2020/file/55053683268957697aa39fba6f231c68-Paper.pdf)**Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall et al.*114 citations*
10. **[Adversarial Sparse Transformer for Time Series Forecasting ↗](https://proceedings.neurips.cc/paper/2020/file/c6b8c8d762da15fa8dbbdfb6baf9e260-Paper.pdf)**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 Representations](https://md.research.elamur.ai/free/en/papers/baevski-2020-wav2vec-2-0-framework-self/)**Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed et al.*379 citations · our summary*
2. **[Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach ↗](https://proceedings.neurips.cc/paper/2020/file/24389bfe4fe2eba8bf9aa9203a44cdad-Paper.pdf)**Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar*363 citations*
3. **[Fast Fourier Convolution ↗](https://proceedings.neurips.cc/paper/2020/file/2fd5d41ec6cfab47e32164d5624269b1-Paper.pdf)**Lu Chi, Borui Jiang, Yadong Mu*206 citations*
4. **[Unsupervised Data Augmentation for Consistency Training ↗](https://openreview.net/pdf?id=ByeL1R4FvS)**Qizhe Xie, Zihang Dai, Eduard H. Hovy et al.*169 citations*
5. **[Graph Random Neural Networks for Semi-Supervised Learning on Graphs ↗](https://proceedings.neurips.cc/paper/2020/file/fb4c835feb0a65cc39739320d7a51c02-Paper.pdf)**Wenzheng Feng, Jie Zhang, Yuxiao Dong et al.*153 citations*
6. **[Training Generative Adversarial Networks with Limited Data ↗](https://proceedings.neurips.cc/paper/2020/file/8d30aa96e72440759f74bd2306c1fa3d-Paper.pdf)**Tero Karras, Miika Aittala, Janne Hellsten et al.*130 citations*
7. **[Domain Generalization via Entropy Regularization ↗](https://proceedings.neurips.cc/paper/2020/file/b98249b38337c5088bbc660d8f872d6a-Paper.pdf)**Shanshan Zhao, Mingming Gong, Tongliang Liu et al.*128 citations*
8. **[Investigating Gender Bias in Language Models Using Causal Mediation Analysis ↗](https://proceedings.neurips.cc/paper/2020/file/92650b2e92217715fe312e6fa7b90d82-Paper.pdf)**Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov et al.*127 citations*
9. **[Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains ↗](https://proceedings.neurips.cc/paper/2020/file/55053683268957697aa39fba6f231c68-Paper.pdf)**Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall et al.*114 citations*
10. **[Adversarial Sparse Transformer for Time Series Forecasting ↗](https://proceedings.neurips.cc/paper/2020/file/c6b8c8d762da15fa8dbbdfb6baf9e260-Paper.pdf)**Sifan Wu, Xi Xiao, Qianggang Ding et al.*109 citations*
11. **[Graph Contrastive Learning with Augmentations ↗](https://proceedings.neurips.cc/paper/2020/file/3fe230348e9a12c13120749e3f9fa4cd-Paper.pdf)**Yuning You, Tianlong Chen, Yongduo Sui et al.*105 citations*
12. **[VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain ↗](https://proceedings.neurips.cc/paper/2020/file/7d97667a3e056acab9aaf653807b4a03-Paper.pdf)**Jinsung Yoon, Yao Zhang, James Jordon et al.*95 citations*
13. **[Learning from Failure: De-biasing Classifier from Biased Classifier ↗](https://papers.nips.cc/paper/2020/file/eddc3427c5d77843c2253f1e799fe933-Paper.pdf)**Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn et al.*94 citations*
14. **[Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding ↗](https://proceedings.neurips.cc/paper/2020/file/d27b95cac4c27feb850aaa4070cc4675-Paper.pdf)**Zhu Zhang, Zhou Li Zhao, Zhijie Lin et al.*93 citations*
15. **[Ultra-Low Precision 4-bit Training of Deep Neural Networks ↗](https://proceedings.neurips.cc/paper/2020/file/13b919438259814cd5be8cb45877d577-Paper.pdf)**Xiao Ning Sun, Naigang Wang, Chia‐Yu Chen et al.*92 citations*
16. **[Adversarial Weight Perturbation Helps Robust Generalization ↗](https://proceedings.neurips.cc/paper/2020/file/1ef91c212e30e14bf125e9374262401f-Paper.pdf)**Dongxian Wu, Shu‐Tao Xia, Yisen Wang*86 citations*
17. **[How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods ↗](https://proceedings.neurips.cc/paper/2020/file/2c29d89cc56cdb191c60db2f0bae796b-Paper.pdf)**Jeya Vikranth Jeyakumar, Joseph Noor, Yu-Hsi Cheng et al.*85 citations*
18. **[UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. ↗](https://proceedings.neurips.cc/paper/2020/file/73d02e4344f71a0b0d51a925246990e7-Paper.pdf)**Chaoning Zhang, Philipp Benz, Adil Karjauv et al.*84 citations*
19. **[Uncertainty-aware Self-training for Few-shot Text Classification ↗](https://proceedings.neurips.cc/paper/2020/file/f23d125da1e29e34c552f448610ff25f-Paper.pdf)**Subhabrata Mukherjee, Ahmed Hassan Awadallah*84 citations*
20. **[FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence ↗](https://proceedings.neurips.cc/paper/2020/file/06964dce9addb1c5cb5d6e3d9838f733-Paper.pdf)**Kihyuk Sohn, David Berthelot, Chunliang Li et al.*75 citations*
21. **[CogLTX: Applying BERT to Long Texts ↗](https://proceedings.neurips.cc/paper/2020/file/96671501524948bc3937b4b30d0e57b9-Paper.pdf)**Ming Ding, Chang Zhou, Hongxia Yang et al.*71 citations*
22. **[HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis ↗](https://papers.nips.cc/paper/2020/file/c5d736809766d46260d816d8dbc9eb44-Paper.pdf)**Jungil Kong, Jaehyeon Kim, Jaekyoung Bae*71 citations*
23. **[GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis ↗](https://proceedings.neurips.cc/paper/2020/file/e92e1b476bb5262d793fd40931e0ed53-Paper.pdf)**Katja Schwarz, Yiyi Liao, Michael Niemeyer et al.*70 citations*
24. **[Measuring Robustness to Natural Distribution Shifts in Image Classification ↗](https://papers.nips.cc/paper/2020/file/d8330f857a17c53d217014ee776bfd50-Paper.pdf)**Rohan Taori, Achal Dave, Vaishaal Shankar et al.*69 citations*
25. **[Evaluating Attribution for Graph Neural Networks ↗](https://proceedings.neurips.cc/paper/2020/file/417fbbf2e9d5a28a855a11894b2e795a-Paper.pdf)**Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee et al.*66 citations*

[See all 315 papers in NeurIPS 2020 — accepted papers →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/)

## Papers with our summary in our library (2)

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

1. **[wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations](https://md.research.elamur.ai/free/en/papers/baevski-2020-wav2vec-2-0-framework-self/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.*2020 · 1,366 citations*
2. **[Big Bird: Transformers for Longer Sequences](https://md.research.elamur.ai/free/en/papers/zaheer-2020-big-bird-transformers-longer-sequences/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.*2020 · 1,002 citations*

## Fields

[Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](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.

[🧑‍🔬**Abdelrahman Mohamed**1 work here · 1,366 citations](https://md.research.elamur.ai/free/en/authors/abdelrahman-mohamed/) · [🧑‍🔬**Alexei Baevski**1 work here · 1,366 citations](https://md.research.elamur.ai/free/en/authors/alexei-baevski/) · [🧑‍🔬**Michael Auli**1 work here · 1,366 citations](https://md.research.elamur.ai/free/en/authors/michael-auli/) · [🧑‍🔬**Anirudh Ravula**1 work here · 1,002 citations](https://md.research.elamur.ai/free/en/authors/anirudh-ravula/) · [🧑‍🔬**Chris Alberti**1 work here · 1,002 citations](https://md.research.elamur.ai/free/en/authors/chris-alberti/) · [🧑‍🔬**Joshua Ainslie**1 work here · 1,002 citations](https://md.research.elamur.ai/free/en/authors/joshua-ainslie/) · [🧑‍🔬**Li Yang**1 work here · 1,002 citations](https://md.research.elamur.ai/free/en/authors/li-yang/) · [🧑‍🔬**Manzil Zaheer**1 work here · 1,002 citations](https://md.research.elamur.ai/free/en/authors/manzil-zaheer/) · [🧑‍🔬**Philip Pham**1 work here · 1,002 citations](https://md.research.elamur.ai/free/en/authors/philip-pham/) · [🧑‍🔬**Qifan Wang**1 work here · 1,002 citations](https://md.research.elamur.ai/free/en/authors/qifan-wang/) · [🧑‍🔬**Santiago Ontañón**1 work here · 1,002 citations](https://md.research.elamur.ai/free/en/authors/santiago-ontanon/)

## Top institutions

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

[🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Meta (Israel)** Tel Aviv · Israel 1 work here](https://md.research.elamur.ai/free/en/companies/meta-israel/)

works and citations from OpenAlex and our library.

- [← previous NeurIPS 2016](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2016/)
- [next → NeurIPS 2021](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2021/)
- [↑ back to NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)