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ICML 2021: all accepted papers

196 papers · page 1 of 2 · the most cited first · ← ICML 2021

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  1. SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks ↗Lingxiao Yang, Ru‐Yuan Zhang, Lida Li et al.638 citations
  2. HAWQ-V3: Dyadic Neural Network Quantization ↗Zhewei Yao, Zhen Dong, Zhangcheng Zheng et al.37 citations
  3. LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs ↗Hongyu Ren, Hanjun Dai, Bo Dai et al.31 citations
  4. Representation Subspace Distance for Domain Adaptation Regression ↗Xinyang Chen, Sinan Wang, Jianmin Wang et al.29 citations
  5. Ditto: Fair and Robust Federated Learning Through Personalization ↗Tian Li, Shengyuan Hu, Ahmad Beirami et al.22 citations
  6. Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations ↗Timothy Kim, Thomas Zhihao Luo, Jonathan W. Pillow et al.19 citations
  7. Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies ↗Jimmy Jimmy, Justinian P. Rosca, Karthik Narasimhan et al.18 citations
  8. RAD-TTS: Parallel Flow-Based TTS with Robust Alignment Learning and Diverse Synthesis ↗Kevin J. Shih, Rafael Valle, Rohan Badlani et al.18 citations
  9. Synthesizer: Rethinking Self-Attention for Transformer Models ↗Yi Tay, Dara Bahri, Donald Metzler et al.17 citations
  10. Dissecting Supervised Constrastive Learning ↗Florian Gräf, Christoph D. Hofer, Marc Niethammer et al.15 citations
  11. How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation ↗Ali Akbari, Muhammad Awais, Manijeh Bashar et al.14 citations
  12. When Does Data Augmentation Help With Membership Inference Attacks ↗Yiğitcan Kaya, Tudor Dumitraş14 citations
  13. Modelling Behavioural Diversity for Learning in Open-Ended Games ↗Nicolas Perez-Nieves, Yaodong Yang, Oliver Slumbers et al.13 citations
  14. One Pass Late Fusion Multi-view Clustering ↗Xinwang Liu, Li Liu, Qing Liao et al.13 citations
  15. SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels ↗Kunal Dahiya, Ananye Agarwal, Deepak Saini et al.13 citations
  16. AutoAttend: Automated Attention Representation Search ↗Chaoyu Guan, Xin Wang, Wenwu Zhu11 citations
  17. Federated Learning under Arbitrary Communication Patterns ↗Dmitrii Avdiukhin, Shiva Prasad Kasiviswanathan11 citations
  18. Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off ↗Rahul Rade, Seyed-Mohsen Moosavi-Dezfooli11 citations
  19. PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models ↗Chaoyang He, Li Shen, Mahdi Soltanolkotabi et al.11 citations
  20. Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research ↗Johan Obando-Ceron, Pablo Samuel Castro11 citations
  21. Improved OOD Generalization via Adversarial Training and Pretraing ↗Mingyang Yi, Lu Hou, Jiacheng Sun et al.10 citations
  22. Sharper Generalization Bounds for Clustering ↗Shaojie Li, Yong Liu10 citations
  23. Understanding and Mitigating Accuracy Disparity in Regression ↗Jianfeng Chi, Han Zhao, Geoff Gordon et al.10 citations
  24. Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference ↗Yonggan Fu, Qixuan Yu, Meng Li et al.9 citations
  25. Improving Gradient Regularization using Complex-Valued Neural Networks ↗Eric Yeats, Yiran Chen, Hai Helen Li9 citations
  26. Learning While Playing in Mean-Field Games: Convergence and Optimality ↗Qiaomin Xie, Zhuoran Yang, Zhaoran Wang et al.9 citations
  27. Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface ↗Baorui Ma, Zhizhong Han, Yu-Shen Liu et al.9 citations
  28. Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry ↗Hilal Asi, Vitaly Feldman, Tomer Koren et al.9 citations
  29. Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ↗Ozan Özdenizci, Robert A. Legenstein9 citations
  30. Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm ↗Taeho Yoon, Ernest K. Ryu8 citations
  31. Grey-box Extraction of Natural Language Models ↗Santiago Zanella-Béguelin, Shruti Tople, Andrew Paverd et al.8 citations
  32. Learning from Noisy Labels with No Change to the Training Process ↗Mingyuan Zhang, Jane J. Lee, Shivani Agarwal8 citations
  33. SketchEmbedNet: Learning Novel Concepts by Imitating Drawings ↗Alexander Wang, Mengye Ren, Richard S. Zemel8 citations
  34. Towards Better Robust Generalization with Shift Consistency Regularization ↗Shufei Zhang, Qian Zhuang, Kaizhu Huang et al.8 citations
  35. When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ↗Zhiyong Yang, Qianqian Xu, Shilong Bao et al.8 citations
  36. A statistical perspective on distillation ↗Aditya Krishna Menon, Ankit Singh Rawat, Sashank Jakkam Reddi et al.7 citations
  37. Addressing the Exorbitant Cost of Labeling Medical Images with Active Learning ↗Saba Rahimi, Ozan Oktay, Javier Alvarez-Valle et al.7 citations
  38. Adversarial Policy Learning in Two-player Competitive Games ↗Wenbo Guo, Xian Wu, Sui Huang et al.7 citations
  39. Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size ↗Jack Kosaian, Amar Phanishayee, Matthai Philipose et al.7 citations
  40. Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ↗Zhuoning Yuan, Zhishuai Guo, Yi Xu et al.7 citations
  41. Online Unrelated Machine Load Balancing with Predictions Revisited ↗Shi Li, Jiayi Xian7 citations
  42. Parameterless Transductive Feature Re-representation for Few-Shot Learning ↗Wentao Cui, Yuhong Guo7 citations
  43. Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions ↗Zhong Li, Minxue Pan, Tian Zhang et al.7 citations
  44. From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments ↗Yiwei Liu, Jiamou Liu, Kaibin Wan et al.6 citations
  45. Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation ↗Masahiro Kato, Takeshi Teshima6 citations
  46. Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning ↗Tung-Che Liang, Jin Zhou, Y.C. Chan et al.6 citations
  47. Street2Sat: A Machine Learning Pipeline for Generating Ground-truth Geo-referenced Labeled Datasets from Street-Level Images ↗Madhava Paliyam, Catherine Nakalembe, Kevin Liu et al.6 citations
  48. A Collective Learning Framework to Boost GNN Expressiveness for Node Classification ↗Mengyue Hang, Jennifer Neville, Bruno Ribeiro5 citations
  49. Explainable Automated Graph Representation Learning with Hyperparameter Importance ↗Xin Wang, Shuyi Fan, Kun Kuang et al.5 citations
  50. More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method ↗Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi5 citations
  51. Multimodal AutoML on Structured Tables with Text Fields ↗Xingjian Shi, Jonas Mueller, Nick Erickson et al.5 citations
  52. Prediction of Boreal Peatland Fires in Canada using Spatio-Temporal Methods ↗Shreya Bali, Sydney Zheng, Akshina Gupta et al.5 citations
  53. Reward Identification in Inverse Reinforcement Learning ↗Kuno Kim, Shivam Garg, Kirankumar Shiragur et al.5 citations
  54. Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ↗Yingjie Fei, Zhuoran Yang, Zhaoran Wang5 citations
  55. Whittle Networks: A Deep Likelihood Model for Time Series ↗Zhongjie Yu, Fabrizio Ventola, Kristian Kersting5 citations
  56. A human-labeled Landsat-8 contrails dataset ↗Kevin McCloskey, Scott Geraedts, Christopher Van Arsdale et al.4 citations
  57. Bayesian Structural Adaptation for Continual Learning ↗Abhishek Kumar, Sunabha Chatterjee, Piyush Rai4 citations
  58. Budgeted Heterogeneous Treatment Effect Estimation ↗Tian Qin, Tian-Zuo Wang, Zhi‐Hua Zhou4 citations
  59. Certified robustness against adversarial patch attacks via randomized cropping ↗Wan-Yi Lin, Fatemeh Sheikholeslami, Jinghao Shi et al.4 citations
  60. Deep Latent Graph Matching ↗Tianshu Yu, Runzhong Wang, Junchi Yan et al.4 citations
  61. DroughtED: A dataset and methodology for drought forecasting spanning multiple climate zones ↗Christoph D Minixhofer, Mark Swan, Calum McMeekin et al.4 citations
  62. Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits ↗Kwang-Sung Jun, Lalit Jain, Houssam Nassif et al.4 citations
  63. Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning ↗Jongwook Choi, Archit Sharma, Honglak Lee et al.4 citations
  64. Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design ↗Gustavo Malkomes, Bolong Cheng, Eric Lee et al.3 citations
  65. ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation ↗Mengfan Wang, Boyu Lyu, Guoqiang Yu3 citations
  66. Diffeomorphic Explanations with Normalizing Flows ↗Ann-Kathrin Dombrowski, Jan E. Gerken, Pan Kessel3 citations
  67. Domain Generalization using Causal Matching ↗Divyat Mahajan, Shruti Tople, Amit Kumar Sharma3 citations
  68. Entropy Weighted Adversarial Training ↗Minseon Kim, Jihoon Tack, Jinwoo Shin et al.3 citations
  69. Episodic Memory for Subjective-Timescale Models ↗Alexey Zakharov, Matthew Crosby, Zafeirios Fountas3 citations
  70. Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies. ↗Denis Lukovnikov, Asja Fischer3 citations
  71. Improving Ultrametrics Embeddings Through Coresets ↗Vincent Cohen-Addad, Rémi de Joannis de Verclos, Guillaume Lagarde3 citations
  72. Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks ↗Avi Schwarzschild, Micah Goldblum, Arjun K. Gupta et al.3 citations
  73. KB-VLP: Knowledge Based Vision and Language Pretraining ↗Kezhen Chen, Qiuyuan Huang, Yonatan Bisk et al.3 citations
  74. Near Optimal Reward-Free Reinforcement Learning ↗Zihan Zhang, Simon S. Du, Xiangyang Ji3 citations
  75. On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data ↗Mark F. Roth, Tyler A. Hallman, W. Douglas Robinson et al.3 citations
  76. Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret ↗Asaf Cassel, Tomer Koren3 citations
  77. Recomposing the Reinforcement Learning Building Blocks with Hypernetworks ↗Elad Sarafian, Shai Keynan, Sarit Kraus3 citations
  78. Towards Achieving Adversarial Robustness Beyond Perceptual Limits ↗Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan et al.3 citations
  79. Towards Explaining Hyperparameter Optimization via Partial Dependence Plots ↗Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio et al.3 citations
  80. Towards Transferable Adversarial Perturbations with Minimum Norm ↗Fangcheng Liu, Chao Zhang, Hongyang Zhang3 citations
  81. 12-Lead ECG Reconstruction via Koopman Operators ↗Tomer Golany, Kira Radinsky, Daniel Z. Freedman et al.2 citations
  82. BERT Classification of Paris Agreement Climate Action Plans ↗Tom Corringham, Daniel Spokoyny, Eric Xiao et al.2 citations
  83. Climate-based ensemble machine learning model to forecast Dengue epidemics ↗Rochelle Schneider, Alessandro Sebastianelli, Dario Spiller et al.2 citations
  84. Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond ↗Dennis Wei2 citations
  85. DeepOPF-NGT: A Fast Unsupervised Learning Approach for Solving AC-OPF Problems without Ground Truth ↗Wanjun Huang, Minghua Chen2 citations
  86. Defense against backdoor attacks via robust covariance estimation ↗Jonathan Hayase, Weihao Kong, Raghav Somani et al.2 citations
  87. Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ↗Christopher R. Dance, Julien Pérez, Théo Cachet2 citations
  88. Dichotomous Optimistic Search to Quantify Human Perception ↗Julien Audiffren2 citations
  89. Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning ↗Yonghan Jung, Jin Wen Tian, Elias Bareinboim2 citations
  90. Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo ↗James A. Brofos, Roy R. Lederman2 citations
  91. Explore Visual Concept Formation for Image Classification ↗Shengzhou Xiong, Yihua Tan, Guoyou Wang2 citations
  92. Fixed-Parameter and Approximation Algorithms for PCA with Outliers ↗Yogesh Dahiya, Fedor V. Fomin, Fahad Panolan et al.2 citations
  93. Function Contrastive Learning of Transferable Meta-Representations ↗Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman et al.2 citations
  94. Homomorphic Sensing: Sparsity and Noise ↗Liangzu Peng, Boshi Wang, Manolis C. Tsakiris2 citations
  95. Learning Granger Causal Feature Representations ↗Gherardo Varando, Miguel‐Ángel Fernández‐Torres, Gustau Camps‐Valls2 citations
  96. Locally Adaptive Label Smoothing Improves Predictive Churn ↗Dara Bahri, Heinrich Jiang2 citations
  97. Oblivious Sketching-based Central Path Method for Linear Programming ↗Zhao Song, Zheng Yu2 citations
  98. On Variational Inference in Biclustering Models ↗Guanhua Fang, Ping Li2 citations
  99. PID Accelerated Value Iteration Algorithm ↗Amir‐massoud Farahmand, Mohammad Ghavamzadeh2 citations
  100. Projection techniques to update the truncated SVD of evolving matrices with applications ↗Vasileios Kalantzis, Γεώργιος Κόλλιας, Shashanka Ubaru et al.2 citations

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