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ICLR 2020: all accepted papers

150 papers · page 1 of 2 · the most cited first · ← ICLR 2020

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  1. Improving Adversarial Robustness Requires Revisiting Misclassified Examples ↗Yisen Wang, Difan Zou, Jinfeng Yi et al.267 citations
  2. VL-BERT: Pre-training of Generic Visual-Linguistic Representations ↗Weijie Su, Xizhou Zhu, Yue Cao et al.252 citations
  3. DBA: Distributed Backdoor Attacks against Federated Learning ↗Chulin Xie, Keli Huang, Pin‐Yu Chen et al.244 citations
  4. On the Convergence of FedAvg on Non-IID Data ↗Xiang Li, Kaixuan Huang, Wenhao Yang et al.235 citations
  5. AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty ↗Dan Hendrycks, Norman Mu, Ekin D. Cubuk et al.168 citations
  6. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data ↗Divyansh Kaushik, Eduard H. Hovy, Zachary C. Lipton168 citations
  7. Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring ↗Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux et al.155 citations
  8. A Learning-based Iterative Method for Solving Vehicle Routing Problems ↗Lu Hao, Xingwen Zhang, Shuang Yang120 citations
  9. Fair Resource Allocation in Federated Learning ↗Tian Li, Maziar Sanjabi, Ahmad Beirami et al.120 citations
  10. Implementation Matters in Deep RL: A Case Study on PPO and TRPO ↗Logan Engstrom, Andrew Ilyas, Shibani Santurkar et al.112 citations
  11. Neural Text Generation With Unlikelihood Training ↗Sean Welleck, Ilia Kulikov, Stephen Roller et al.111 citations
  12. StructPool: Structured Graph Pooling via Conditional Random Fields ↗Hao Yuan, Shuiwang Ji102 citations
  13. Distributionally Robust Neural Networks ↗Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto et al.98 citations
  14. Global Relational Models of Source Code ↗Vincent Josua Hellendoorn, Charles A. Sutton, Rishabh Kumar Singh et al.93 citations
  15. Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention ↗Chen Zhao, Chenyan Xiong, Corby Rosset et al.93 citations
  16. Graph Neural Networks Exponentially Lose Expressive Power for Node Classification ↗Kenta Oono, Taiji Suzuki91 citations
  17. Language GANs Falling Short ↗Massimo Caccia, Lucas Caccia, W. Fedus et al.80 citations
  18. Model Based Reinforcement Learning for Atari ↗Łukasz Kaiser, Mohammad Babaeizadeh, Piotr Miłoś et al.76 citations
  19. Fantastic Generalization Measures and Where to Find Them ↗Yiding Jiang, Behnam Neyshabur, Dilip Krishnan et al.75 citations
  20. Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds ↗Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy et al.74 citations
  21. LEARNED STEP SIZE QUANTIZATION ↗Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani et al.74 citations
  22. Lagrangian Fluid Simulation with Continuous Convolutions ↗Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey et al.73 citations
  23. Neural Machine Translation with Universal Visual Representation ↗Zhuosheng Zhang, Kehai Chen, Rui Wang et al.73 citations
  24. Efficient and Information-Preserving Future Frame Prediction and Beyond ↗Wei Yu, Yichao Lu, Steve Easterbrook et al.67 citations
  25. From Variational to Deterministic Autoencoders ↗Partha Sarathi Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari et al.65 citations
  26. Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension ↗Xinyun Chen, Liang Chen, Adams Wei Yu et al.65 citations
  27. On Identifiability in Transformers ↗Gino Brunner, Yang Liu, Damián Pascual et al.63 citations
  28. Can gradient clipping mitigate label noise ↗Aditya Krishna Menon, Ankit Singh Rawat, Sashank Jakkam Reddi et al.60 citations
  29. Permutation Equivariant Models for Compositional Generalization in Language ↗Jonathan A.R. Gordon, David López-Paz, Marco Baroni et al.60 citations
  30. Multiplicative Interactions and Where to Find Them ↗Siddhant M. Jayakumar, Jacob Menick, Wojciech Marian Czarnecki et al.52 citations
  31. Towards Fast Adaptation of Neural Architectures with Meta Learning ↗Dongze Lian, Yin Zheng, Yintao Xu et al.50 citations
  32. Hamiltonian Generative Networks ↗Aleksandar Botev, Irina Higgins, Andrew Jaegle et al.49 citations
  33. Adaptive Structural Fingerprints for Graph Attention Networks ↗Kai Zhang, Yaokang Zhu, Yi-Xiang Wang et al.48 citations
  34. Data-dependent Gaussian Prior Objective for Language Generation ↗Zuchao Li, Rui Wang, Kehai Chen et al.48 citations
  35. Improving Neural Language Generation with Spectrum Control ↗Lingxiao Wang, Jing Huang, Kevin Huang et al.45 citations
  36. Model-based reinforcement learning for biological sequence design ↗Christof Angermueller, David Dohan, David Belanger et al.45 citations
  37. Pay Attention to Features, Transfer Learn faster CNNs ↗Kafeng Wang, Xitong Gao, Yiren Zhao et al.45 citations
  38. You Only Train Once: Loss-Conditional Training of Deep Networks ↗Alexey Dosovitskiy, Josip Djolonga44 citations
  39. RaPP: Novelty Detection with Reconstruction along Projection Pathway ↗Ki‐Hyun Kim, Sangwoo Shim, Yongsub Lim et al.43 citations
  40. Attentional Constellation Nets for Few-Shot Learning. ↗Weijian Xu, Yifan Xu, Huaijin Wang et al.41 citations
  41. Deep Orientation Uncertainty Learning based on a Bingham Loss ↗Igor Glitschenski, Wilko Schwarting, Roshni Sahoo et al.41 citations
  42. Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks ↗Jiadong Lin, Chuanbiao Song, Kun He et al.40 citations
  43. BayesOpt Adversarial Attack ↗Binxin Ru, Adam D. Cobb, Arno Blaas et al.39 citations
  44. Learning deep graph matching with channel-independent embedding and Hungarian attention ↗Tianshu Yu, Runzhong Wang, Junchi Yan et al.39 citations
  45. Learning Disentangled Representations for CounterFactual Regression ↗Negar Hassanpour, Russell Greiner38 citations
  46. CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning ↗Rohit Girdhar, Deva Ramanan36 citations
  47. Disagreement-Regularized Imitation Learning ↗Kianté Brantley, Wen Yao Sun, Mikael Henaff35 citations
  48. Option Discovery using Deep Skill Chaining ↗Akhil Bagaria, George Konidaris35 citations
  49. Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware ↗Xiandong Zhao, Ying Wang, Xuyi Cai et al.34 citations
  50. Continual Learning with Bayesian Neural Networks for Non-Stationary Data ↗Richard Kurle, Botond Cseke, Alexej Klushyn et al.32 citations
  51. Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics ↗Sungyong Seo, Chuizheng Meng, Yan Liu31 citations
  52. SloMo: Improving Communication-Efficient Distributed SGD with Slow Momentum ↗Jianyu Wang, Vinayak Tantia, Nicolas Ballas et al.31 citations
  53. Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint ↗Jimmy Lei Ba, Murat A. Erdogdu, Taiji Suzuki et al.27 citations
  54. Empirical Bayes Transductive Meta-Learning with Synthetic Gradients ↗Hu Xu, Pablo García Moreno, Yang Xiao et al.25 citations
  55. Exploration in Reinforcement Learning with Deep Covering Options ↗Yuu Jinnai, Jee Won Park, Marlos C. Machado et al.25 citations
  56. Sign Bits Are All You Need for Black-Box Attacks ↗Abdullah Al-Dujaili, Una-May O’Reilly24 citations
  57. RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ↗Anil Kag, Ziming Zhang, Venkatesh Saligrama23 citations
  58. Mirror-Generative Neural Machine Translation ↗Zaixiang Zheng, Hao Zhou, Shujian Huang et al.22 citations
  59. AE-OT: A NEW GENERATIVE MODEL BASED ON EXTENDED SEMI-DISCRETE OPTIMAL TRANSPORT ↗Dongsheng An, Yang Guo, Na Lei et al.21 citations
  60. Deep Audio Priors Emerge From Harmonic Convolutional Networks ↗Zhoutong Zhang, Yunyun Wang, Chuang Gan et al.21 citations
  61. Differentiable learning of numerical rules in knowledge graphs ↗Po-Wei Wang, Daria Stepanova, Csaba Domokos et al.21 citations
  62. Enforcing Physical Constraints in CNNs through Differentiable PDE Layer ↗Chiyu Max Jiang, Karthik Kashinath, Prabhat et al.21 citations
  63. Learning to Coordinate Manipulation Skills via Skill Behavior Diversification ↗Youngwoon Lee, Jingyun Yang, Joseph J. Lim21 citations
  64. A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES ↗Krishnamurthy Dvijotham, Jamie Hayes, Borja Balle et al.20 citations
  65. Discovering Motor Programs by Recomposing Demonstrations ↗Tanmay Shankar, Shubham Tulsiani, Lerrel Pinto et al.20 citations
  66. Neural Synthesis of Binaural Speech From Mono Audio ↗Alexander Richard, Dejan Marković, Israel D. Gebru et al.20 citations
  67. NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension ↗Seohyun Back, Sai Chetan Chinthakindi, Akhil Kedia et al.19 citations
  68. Sparse Coding with Gated Learned ISTA ↗Kailun Wu, Yiwen Guo, Ziang Li et al.18 citations
  69. Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks ↗Yuhang Li, Xin Dong, Wei Wang17 citations
  70. Automated curriculum generation through setter-solver interactions ↗Andrew K. Lampinen, Sébastien Racanière, Adam Santoro et al.17 citations
  71. Conservative Uncertainty Estimation By Fitting Prior Networks ↗Kamil Ciosek, Vincent Fortuin, Ryota Tomioka et al.17 citations
  72. Curvature Graph Network ↗Ze Ye, Kin Sum Liu, Tengfei Ma et al.16 citations
  73. Meta Dropout: Learning to Perturb Latent Features for Generalization ↗Haebeom Lee, Taewook Nam, Eunho Yang et al.16 citations
  74. Understanding Generalization in Recurrent Neural Networks ↗Zhuozhuo Tu, Fengxiang He, Dacheng Tao16 citations
  75. Unsupervised Clustering using Pseudo-semi-supervised Learning ↗Divam Gupta, Ramachandran Ramjee, Nipun Kwatra et al.16 citations
  76. Episodic Reinforcement Learning with Associative Memory ↗Guangxiang Zhu, Zichuan Lin, Guangwen Yang et al.15 citations
  77. Truth or backpropaganda? An empirical investigation of deep learning theory ↗Micah Goldblum, Jonas Geiping, Avi Schwarzschild et al.15 citations
  78. Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning ↗Qing Qu, Yuexiang Zhai, Li Xiao et al.14 citations
  79. Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks ↗Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli et al.14 citations
  80. Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control ↗Tsui-Wei Weng, Krishnamurthy Dvijotham, Jonathan Uesato et al.14 citations
  81. Distance-Based Learning from Errors for Confidence Calibration ↗Xing Chen, Sercan Ö. Arık, Zizhao Zhang et al.13 citations
  82. Embedding Hard Physical Constraints in Convolutional Neural Networks for 3D Turbulence ↗Arvind T. Mohan, Nicholas Lubbers, Daniel Livescu et al.13 citations
  83. Program Guided Agent ↗Shaohua Sun, Te-Lin Wu, Joseph J. Lim13 citations
  84. Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models ↗Yixuan Qiu, Lingsong Zhang, Xiao Wang13 citations
  85. Adversarially Robust Representations with Smooth Encoders ↗Ali Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham et al.12 citations
  86. Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition ↗Jongbin Ryu, Gitaek Kwon, Ming–Hsuan Yang et al.12 citations
  87. Inductive and Unsupervised Representation Learning on Graph Structured Objects ↗Lichen Wang, Bo Zong, Qianqian Ma et al.12 citations
  88. Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks ↗Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa et al.11 citations
  89. Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators ↗Reinhard Heckel11 citations
  90. Wavelet-Powered Neural Networks for Turbulence ↗Arvind T. Mohan, Daniel Livescu, Michael Chertkov11 citations
  91. Pruned Graph Scattering Transforms ↗Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis10 citations
  92. Dynamics-Aware Unsupervised Skill Discovery ↗Archit Sharma, Shixiang Gu, Sergey Levine et al.9 citations
  93. Learning-Augmented Data Stream Algorithms ↗Tanqiu Jiang, Yi Li, Honghao Lin et al.9 citations
  94. Order Learning and Its Application to Age Estimation ↗Kyungsun Lim, Nyeong-Ho Shin, Young-Yoon Lee et al.9 citations
  95. Synthesizing Programmatic Policies that Inductively Generalize ↗Jeevana Priya Inala, Osbert Bastani, Zenna Tavares et al.9 citations
  96. Disentanglement through Nonlinear ICA with General Incompressible-flow Networks (GIN) ↗Peter Sorrenson, Ullrich Köthe8 citations
  97. Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information ↗Yichi Zhou, Jialian Li, Jun Zhu8 citations
  98. V4D: 4D Covolutional Neural Networks for Video-level Representations Learning ↗Shiwen Zhang, Sheng Guo, Weilin Huang et al.8 citations
  99. Bayesian Meta Sampling for Fast Uncertainty Adaptation ↗Zhenyi Wang, Yang Zhao, Ping Yu et al.7 citations
  100. RMSprop converges with proper hyper-parameter. ↗Naichen Shi, Dawei Li, Mingyi Hong et al.7 citations

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