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NeurIPS 2020: all accepted papers

315 papers · page 1 of 4 · the most cited first · ← NeurIPS 2020

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  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. Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach ↗Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar363 citations
  3. Fast Fourier Convolution ↗Lu Chi, Borui Jiang, Yadong Mu206 citations
  4. Unsupervised Data Augmentation for Consistency Training ↗Qizhe Xie, Zihang Dai, Eduard H. Hovy et al.169 citations
  5. Graph Random Neural Networks for Semi-Supervised Learning on Graphs ↗Wenzheng Feng, Jie Zhang, Yuxiao Dong et al.153 citations
  6. Training Generative Adversarial Networks with Limited Data ↗Tero Karras, Miika Aittala, Janne Hellsten et al.130 citations
  7. Domain Generalization via Entropy Regularization ↗Shanshan Zhao, Mingming Gong, Tongliang Liu et al.128 citations
  8. Investigating Gender Bias in Language Models Using Causal Mediation Analysis ↗Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov et al.127 citations
  9. Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains ↗Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall et al.114 citations
  10. Adversarial Sparse Transformer for Time Series Forecasting ↗Sifan Wu, Xi Xiao, Qianggang Ding et al.109 citations
  11. Graph Contrastive Learning with Augmentations ↗Yuning You, Tianlong Chen, Yongduo Sui et al.105 citations
  12. VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain ↗Jinsung Yoon, Yao Zhang, James Jordon et al.95 citations
  13. Learning from Failure: De-biasing Classifier from Biased Classifier ↗Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn et al.94 citations
  14. Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding ↗Zhu Zhang, Zhou Li Zhao, Zhijie Lin et al.93 citations
  15. Ultra-Low Precision 4-bit Training of Deep Neural Networks ↗Xiao Ning Sun, Naigang Wang, Chia‐Yu Chen et al.92 citations
  16. Adversarial Weight Perturbation Helps Robust Generalization ↗Dongxian Wu, Shu‐Tao Xia, Yisen Wang86 citations
  17. 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
  18. UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. ↗Chaoning Zhang, Philipp Benz, Adil Karjauv et al.84 citations
  19. Uncertainty-aware Self-training for Few-shot Text Classification ↗Subhabrata Mukherjee, Ahmed Hassan Awadallah84 citations
  20. FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence ↗Kihyuk Sohn, David Berthelot, Chunliang Li et al.75 citations
  21. CogLTX: Applying BERT to Long Texts ↗Ming Ding, Chang Zhou, Hongxia Yang et al.71 citations
  22. HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis ↗Jungil Kong, Jaehyeon Kim, Jaekyoung Bae71 citations
  23. GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis ↗Katja Schwarz, Yiyi Liao, Michael Niemeyer et al.70 citations
  24. Measuring Robustness to Natural Distribution Shifts in Image Classification ↗Rohan Taori, Achal Dave, Vaishaal Shankar et al.69 citations
  25. Evaluating Attribution for Graph Neural Networks ↗Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee et al.66 citations
  26. Neural Controlled Differential Equations for Irregular Time Series ↗Patrick Kidger, James Morrill, James Foster et al.65 citations
  27. Object-Centric Learning with Slot Attention ↗Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner et al.64 citations
  28. Normalizing Kalman Filters for Multivariate Time Series Analysis ↗Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis et al.63 citations
  29. Neuron-level Structured Pruning using Polarization Regularizer ↗Tao Zhuang, Zhixuan Zhang, Yuheng Huang et al.62 citations
  30. Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization ↗Qi Chen, Lin Sun, Ernest C. H. Cheung et al.61 citations
  31. Natural policy gradient primal-dual method for constrained Markov decision processes ↗Dong-Sheng Ding, Kaiqing Zhang, Tamer Başar et al.60 citations
  32. Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space ↗Shangchen Du, Shan You, Xiaojie Li et al.57 citations
  33. Hard Negative Mixing for Contrastive Learning ↗Yannis Kalantidis, Mert Bülent Sarıyıldız, Noé Pion et al.56 citations
  34. Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID ↗Yixiao Ge, Feng Zhu, Dapeng Chen et al.56 citations
  35. NVAE: A Deep Hierarchical Variational Autoencoder ↗Arash Vahdat, Jan Kautz54 citations
  36. Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point ↗Bita Darvish Rouhani, Daniel Lo, Ritchie Zhao et al.51 citations
  37. SOLOv2: Dynamic and Fast Instance Segmentation ↗Xinlong Wang, Rufeng Zhang, Tao Kong et al.50 citations
  38. CLEARER: Multi-Scale Neural Architecture Search for Image Restoration ↗Yuanbiao Gou, Boyun Li, Zitao Liu et al.49 citations
  39. DynaBERT: Dynamic BERT with Adaptive Width and Depth ↗Lu Hou, Zhiqi Huang, Lifeng Shang et al.49 citations
  40. Modeling Noisy Annotations for Crowd Counting. ↗Jia Wan, Antoni B. Chan48 citations
  41. Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning ↗Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko et al.48 citations
  42. Principal Neighbourhood Aggregation for Graph Nets ↗Gabriele Corso, Luca Cavalleri, Dominique Beaini et al.47 citations
  43. Information Maximization for Few-Shot Learning ↗Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony et al.46 citations
  44. SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology ↗Mark Veillette, Siddharth Samsi, Christopher J. Mattioli46 citations
  45. Early-Learning Regularization Prevents Memorization of Noisy Labels ↗Sheng Liu, Jonathan Weed, Narges Razavian et al.45 citations
  46. Reinforcement Learning with Augmented Data ↗Michael Laskin, Kimin Lee, Adam Stooke et al.45 citations
  47. CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching ↗Zeping Yu, Wenxin Zheng, Jiaqi Wang et al.44 citations
  48. ICNet: Intra-saliency Correlation Network for Co-Saliency Detection ↗Wenda Jin, Jun Xu, Ming‐Ming Cheng et al.44 citations
  49. Object Goal Navigation using Goal-Oriented Semantic Exploration ↗Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta et al.44 citations
  50. Partially View-aligned Clustering ↗Zhenyu Huang, Peng Hu, Joey Tianyi Zhou et al.44 citations
  51. Adversarial Learning for Robust Deep Clustering ↗Yang Xu, Cheng Dan Deng, Kun Wei et al.43 citations
  52. Improving robustness against common corruptions by covariate shift adaptation ↗Steffen Schneider, Evgenia Rusak, Luisa Eck et al.42 citations
  53. Co-Tuning for Transfer Learning ↗Kaichao You, Zhi Kou, Mingsheng Long et al.41 citations
  54. Curriculum Learning by Dynamic Instance Hardness ↗Tianyi Zhou, Shengjie Wang, Jeffrey A. Bilmes40 citations
  55. Swapping Autoencoder for Deep Image Manipulation ↗Taesung Park, Jun-Yan Zhu, Oliver Wang et al.40 citations
  56. SuperLoss: A Generic Loss for Robust Curriculum Learning ↗Thibault Castells, Philippe Weinzaepfel, Jérôme Revaud38 citations
  57. What is being transferred in transfer learning ↗Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang37 citations
  58. Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations ↗Mina Konaković Luković, Yunsheng Tian, Wojciech Matusik35 citations
  59. Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation ↗Ping Hu, Stan Sclaroff, Kate Saenko35 citations
  60. The Origins and Prevalence of Texture Bias in Convolutional Neural Networks ↗Katherine L. Hermann, Ting Chen, Simon Kornblith34 citations
  61. Calibrating CNNs for Lifelong Learning ↗Pravendra Pratap Singh, Vinay Kumar Verma, Pratik Mazumder et al.33 citations
  62. Digraph Inception Convolutional Networks ↗Zekun Tong, Yuxuan Liang, Changsheng Sun et al.33 citations
  63. Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition ↗Zijun Cui, Tengfei Song, Yuru Wang et al.33 citations
  64. OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification ↗Taewon Jeong, Heeyoung Kim33 citations
  65. Compositional Visual Generation with Energy Based Models ↗Yilun Du, Shuang Li, Igor Mordatch32 citations
  66. Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition ↗Dat Huynh, Ehsan Elhamifar32 citations
  67. Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning ↗Yu Kai Yao, Tongliang Liu, Bo Han et al.32 citations
  68. EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning ↗Jiachen Li, Fan Yang, Masayoshi Tomizuka et al.30 citations
  69. Large-Scale Adversarial Training for Vision-and-Language Representation Learning ↗Zhe Gan, Yen-Chun Chen, Linjie Li et al.29 citations
  70. Partial Optimal Tranport with applications on Positive-Unlabeled Learning ↗Laëtitia Chapel, Mokhtar Z. Alaya, Gilles Gasso29 citations
  71. Space-Time Correspondence as a Contrastive Random Walk ↗Allan Jabri, Andrew Owens, Alexei A. Efros29 citations
  72. Distributed Distillation for On-Device Learning ↗Ilai Bistritz, Ariana J. Mann, Nicholas Bambos28 citations
  73. Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge ↗Chaoyang He, Murali Annavaram, Salman Avestimehr27 citations
  74. Is normalization indispensable for training deep neural network ↗Jie Shao, Kai Hu, Changhu Wang et al.27 citations
  75. Learning with Differentiable Pertubed Optimizers ↗Quentin Berthet, Mathieu Blondel, Olivier Teboul et al.27 citations
  76. Multimodal Graph Networks for Compositional Generalization in Visual Question Answering ↗Raeid Saqur, Karthik Narasimhan27 citations
  77. ShapeFlow: Learnable Deformation Flows Among 3D Shapes ↗Chiyu Max Jiang, Jingwei Huang, Andrea Tagliasacchi et al.27 citations
  78. HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory. ↗Jie Ren, Minjia Zhang, Dong Li26 citations
  79. Rethinking the Value of Labels for Improving Class-Imbalanced Learning ↗Yuzhe Yang, Zhi Xu26 citations
  80. Robust Multi-Agent Reinforcement Learning with Model Uncertainty ↗Kaiqing Zhang, Tao Sun, Yunzhe Tao et al.26 citations
  81. What went wrong and when? Instance-wise feature importance for time-series black-box models ↗Sana Tonekaboni, Shalmali D. Joshi, Kieran R. Campbell et al.26 citations
  82. Fairness with Overlapping Groups; a Probabilistic Perspective ↗Forest Yang, Mouhamadou Moustapha Cissé, Sanmi Koyejo25 citations
  83. Learning to Adapt to Evolving Domains ↗Hong Liu, Mingsheng Long, Jianmin Wang et al.25 citations
  84. On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems ↗Kaiqing Zhang, Bin Hu, Tamer Başar25 citations
  85. Prophet Attention: Predicting Attention with Future Attention ↗Fenglin Liu, Xuancheng Ren, Xian Wei Wu et al.25 citations
  86. Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds ↗Hassan Hafez-Kolahi, Zeinab Golgooni, Shohreh Kasaei B et al.23 citations
  87. Differentiable Top-k with Optimal Transport ↗Yujia Xie, Hanjun Dai, Minshuo Chen et al.23 citations
  88. Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning ↗Luca Oneto, Michele Donini, Giulia Luise et al.23 citations
  89. GNNGuard: Defending Graph Neural Networks against Adversarial Attacks ↗X. D. Zhang, Marinka Žitnik23 citations
  90. GPS-Net: Graph-based Photometric Stereo Network ↗Zhuokun Yao, Kun Li, Ying Fu et al.23 citations
  91. Input-Aware Dynamic Backdoor Attack ↗Tuan Anh Nguyen, Anh Nguyen Tran23 citations
  92. Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization ↗Hung‐Jen Chen, An‐Chieh Cheng, Da-Cheng Juan et al.23 citations
  93. Revisiting Parameter Sharing for Automatic Neural Channel Number Search ↗Jiaxing Wang, Haoli Bai, Jiaxiang Wu et al.23 citations
  94. Self-Supervised MultiModal Versatile Networks ↗Jean-Baptiste Alayrac, Adrià Recasens, Rosália G. Schneider et al.23 citations
  95. HRN: A Holistic Approach to One Class Learning ↗Wenpeng Hu, Mengyu Wang, Qi Qin et al.22 citations
  96. Self-Supervised Graph Transformer on Large-Scale Molecular Data ↗Yu Rong, Yatao Bian, Tingyang Xu et al.22 citations
  97. Task-Oriented Feature Distillation ↗Linfeng Zhang, Yukang Shi, Zuoqiang Shi et al.22 citations
  98. The Diversified Ensemble Neural Network ↗Shaofeng Zhang, Meng Liu, Junchi Yan22 citations
  99. Autoencoders that don't overfit towards the Identity ↗Harald Steck21 citations
  100. On the Trade-off between Adversarial and Backdoor Robustness ↗Cheng‐Hsin Weng, Yan-Ting Lee, Shan-Hung Wu21 citations

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