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
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsAlexei Baevski, Yuhao Zhou, Abdelrahman Mohamed et al.379 citations · our summary
- Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach ↗Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar363 citations
- Fast Fourier Convolution ↗Lu Chi, Borui Jiang, Yadong Mu206 citations
- Unsupervised Data Augmentation for Consistency Training ↗Qizhe Xie, Zihang Dai, Eduard H. Hovy et al.169 citations
- Graph Random Neural Networks for Semi-Supervised Learning on Graphs ↗Wenzheng Feng, Jie Zhang, Yuxiao Dong et al.153 citations
- Training Generative Adversarial Networks with Limited Data ↗Tero Karras, Miika Aittala, Janne Hellsten et al.130 citations
- Domain Generalization via Entropy Regularization ↗Shanshan Zhao, Mingming Gong, Tongliang Liu et al.128 citations
- Investigating Gender Bias in Language Models Using Causal Mediation Analysis ↗Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov et al.127 citations
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains ↗Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall et al.114 citations
- Adversarial Sparse Transformer for Time Series Forecasting ↗Sifan Wu, Xi Xiao, Qianggang Ding et al.109 citations
All accepted papers (315)
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsAlexei Baevski, Yuhao Zhou, Abdelrahman Mohamed et al.379 citations · our summary
- Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach ↗Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar363 citations
- Fast Fourier Convolution ↗Lu Chi, Borui Jiang, Yadong Mu206 citations
- Unsupervised Data Augmentation for Consistency Training ↗Qizhe Xie, Zihang Dai, Eduard H. Hovy et al.169 citations
- Graph Random Neural Networks for Semi-Supervised Learning on Graphs ↗Wenzheng Feng, Jie Zhang, Yuxiao Dong et al.153 citations
- Training Generative Adversarial Networks with Limited Data ↗Tero Karras, Miika Aittala, Janne Hellsten et al.130 citations
- Domain Generalization via Entropy Regularization ↗Shanshan Zhao, Mingming Gong, Tongliang Liu et al.128 citations
- Investigating Gender Bias in Language Models Using Causal Mediation Analysis ↗Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov et al.127 citations
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains ↗Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall et al.114 citations
- Adversarial Sparse Transformer for Time Series Forecasting ↗Sifan Wu, Xi Xiao, Qianggang Ding et al.109 citations
- Graph Contrastive Learning with Augmentations ↗Yuning You, Tianlong Chen, Yongduo Sui et al.105 citations
- VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain ↗Jinsung Yoon, Yao Zhang, James Jordon et al.95 citations
- Learning from Failure: De-biasing Classifier from Biased Classifier ↗Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn et al.94 citations
- Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding ↗Zhu Zhang, Zhou Li Zhao, Zhijie Lin et al.93 citations
- Ultra-Low Precision 4-bit Training of Deep Neural Networks ↗Xiao Ning Sun, Naigang Wang, Chia‐Yu Chen et al.92 citations
- Adversarial Weight Perturbation Helps Robust Generalization ↗Dongxian Wu, Shu‐Tao Xia, Yisen Wang86 citations
- 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
- UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. ↗Chaoning Zhang, Philipp Benz, Adil Karjauv et al.84 citations
- Uncertainty-aware Self-training for Few-shot Text Classification ↗Subhabrata Mukherjee, Ahmed Hassan Awadallah84 citations
- FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence ↗Kihyuk Sohn, David Berthelot, Chunliang Li et al.75 citations
- CogLTX: Applying BERT to Long Texts ↗Ming Ding, Chang Zhou, Hongxia Yang et al.71 citations
- HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis ↗Jungil Kong, Jaehyeon Kim, Jaekyoung Bae71 citations
- GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis ↗Katja Schwarz, Yiyi Liao, Michael Niemeyer et al.70 citations
- Measuring Robustness to Natural Distribution Shifts in Image Classification ↗Rohan Taori, Achal Dave, Vaishaal Shankar et al.69 citations
- 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)
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsConference on Neural Information Processing Systems (NeurIPS)Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.2020 · 1,366 citations
- 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
🧑🔬Abdelrahman Mohamed1 work here · 1,366 citations🧑🔬Alexei Baevski1 work here · 1,366 citations🧑🔬Michael Auli1 work here · 1,366 citations🧑🔬Anirudh Ravula1 work here · 1,002 citations🧑🔬Chris Alberti1 work here · 1,002 citations🧑🔬Joshua Ainslie1 work here · 1,002 citations🧑🔬Li Yang1 work here · 1,002 citations🧑🔬Manzil Zaheer1 work here · 1,002 citations🧑🔬Philip Pham1 work here · 1,002 citations🧑🔬Qifan Wang1 work here · 1,002 citations🧑🔬Santiago Ontañón1 work here · 1,002 citations
Top institutions
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