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ICML 2019: all accepted papers

154 papers · page 1 of 2 · the most cited first · ← ICML 2019

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  1. Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation ↗Xinyang Chen, Sinan Wang, Mingsheng Long et al.242 citations
  2. Analyzing Federated Learning through an Adversarial Lens ↗Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal et al.188 citations
  3. SELFIE: Refurbishing Unclean Samples for Robust Deep Learning ↗Hwanjun Song, Minseok Kim, Jae-Gil Lee175 citations
  4. Invertible Residual Networks ↗Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen et al.161 citations
  5. On learning invariant representations for domain adaptation ↗Han Zhao, Rémi Tachet des Combes, Kun Zhang et al.160 citations
  6. A Deep Reinforcement Learning Perspective on Internet Congestion Control ↗Nathan H. Jay, Noga H. Rotman, Brighten Godfrey et al.152 citations
  7. Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers ↗Hong Liu, Mingsheng Long, Jianmin Wang et al.147 citations
  8. Disentangled Graph Convolutional Networks ↗Jianxin Ma, Peng Cui, Kun Kuang et al.119 citations
  9. COMIC: Multi-view Clustering Without Parameter Selection ↗Xi Peng, Zhenyu Huang, Jiancheng Lv et al.118 citations
  10. MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets ↗Pierre‐Alexandre Mattei, Jes Frellsen107 citations
  11. Doubly robust joint learning for recommendation on data missing not at random ↗Xiaojie Wang, Rui Zhang, Yu Sun et al.88 citations
  12. Optimal Auctions through Deep Learning ↗Paul Dütting, Zhe Feng, Harikrishna Narasimhan et al.83 citations
  13. Graph U-Nets ↗Hongyang Gao, Shuiwang Ji82 citations
  14. Concrete Autoencoders: Differentiable Feature Selection and Reconstruction. ↗Muhammed Fati̇h Balin, Abubakar Abid, James Zou80 citations
  15. What is the Effect of Importance Weighting in Deep Learning ↗Jonathon Byrd, Zachary C. Lipton77 citations
  16. Collaborative Channel Pruning for Deep Networks ↗Hanyu Peng, Jiaxiang Wu, Shifeng Chen et al.76 citations
  17. DL2: Training and Querying Neural Networks with Logic. ↗Marc Fischer, Mislav Balunović, Dana Drachsler-Cohen et al.68 citations
  18. Adversarial Examples Are a Natural Consequence of Test Error in Noise ↗Justin Gilmer, Nic Ford, Nicholas Carlini et al.66 citations
  19. Circuit-GNN: Graph Neural Networks for Distributed Circuit Design ↗Zhang Guo, He Hao, Dina Katabi66 citations
  20. Towards a Deep and Unified Understanding of Deep Neural Models in NLP ↗Chaoyu Guan, Xiting Wang, Quanshi Zhang et al.64 citations
  21. HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving ↗Kshitij Bansal, Sarah M. Loos, Markus N. Rabe et al.63 citations
  22. Efficient Training of BERT by Progressively Stacking ↗Linyuan Gong, Di He, Zhuohan Li et al.62 citations
  23. Shallow-Deep Networks: Understanding and Mitigating Network Overthinking ↗Yiğitcan Kaya, Sanghyun Hong, Tudor Dumitraş55 citations
  24. Unreproducible Research is Reproducible ↗Xavier Bouthillier, César Laurent, Pascal Vincent54 citations
  25. A Framework for Bayesian Optimization in Embedded Subspaces ↗Amin Nayebi, Alexander Munteanu, Matthias Poloczek51 citations
  26. Fairness without Harm: Decoupled Classifiers with Preference Guarantees ↗Berk Ustun, Yang Liu, David C. Parkes51 citations
  27. Politex: Regret Bounds for Policy Iteration using Expert Prediction ↗Yasin Abbasi-Yadkori, Peter L. Bartlett, Kush Bhatia et al.46 citations
  28. Provable Guarantees for Gradient-Based Meta-Learning. ↗Maria-Florina Balcan, Mikhail Khodak, Ameet Talwalkar44 citations
  29. Lorentzian Distance Learning for Hyperbolic Representations ↗Marc T. Law, Renjie Liao, Jake Snell et al.42 citations
  30. Online Algorithms for Rent-Or-Buy with Expert Advice. ↗Sreenivas Gollapudi, Debmalya Panigrahi42 citations
  31. Co-Representation Network for Generalized Zero-Shot Learning ↗Fei Zhang, Guangming Shi40 citations
  32. Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models ↗Eldan Cohen, J. Christopher Beck40 citations
  33. Adversarially Learned Representations for Information Obfuscation and Inference ↗Martín Bertrán, Natalia Martínez, Afroditi Papadaki et al.37 citations
  34. Alternating Minimizations Converge to Second-Order Optimal Solutions ↗Qiuwei Li, Zhihui Zhu, Gongguo Tang37 citations
  35. Power k-Means Clustering ↗Jason Xu, Kenneth L. Lange37 citations
  36. Fairness-Aware Learning for Continuous Attributes and Treatments ↗Jérémie Mary, Clément Calauzènes, Noureddine El Karoui36 citations
  37. CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network ↗Tom Kenter, Vincent Wan, Chun-an Chan et al.35 citations
  38. Taming MAML: Efficient unbiased meta-reinforcement learning ↗Hao Liu, Richard Socher, Caiming Xiong35 citations
  39. PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach ↗Lily Weng, Pin‐Yu Chen, Lam M. Nguyen et al.34 citations
  40. Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy ↗Alex Kulesza, Andrés Muñoz Medina, Kareem Amin et al.32 citations
  41. Learning Linear-Quadratic Regulators Efficiently with only √ T Regret ↗Alon Cohen, Tomer Koren, Yishay Mansour32 citations
  42. Validating Causal Inference Models via Influence Functions ↗Ahmed M. Alaa, Mihaela van der Schaar32 citations
  43. LIT: Learned Intermediate Representation Training for Model Compression ↗Animesh Koratana, Daniel D. Kang, Peter D. Bailis et al.31 citations
  44. CAB: Continuous Adaptive Blending for Policy Evaluation and Learning ↗Yi Su, Lequn Wang, Michele Santacatterina et al.30 citations
  45. Differentially Private Empirical Risk Minimization with Non-convex Loss Functions ↗Di Wang, Changyou Chen, Jinhui Xu30 citations
  46. Hessian Aided Policy Gradient ↗Zebang Shen, Alejandro Ribeiro, Hamed Hassani et al.30 citations
  47. LegoNet: Efficient Convolutional Neural Networks with Lego Filters ↗Zhaohui Yang, Yunhe Wang, Chuanjian Liu et al.30 citations
  48. Sensitivity Analysis of Linear Structural Causal Models ↗Carlos Cinelli, Daniel R. Kumor, Bryant Chen et al.25 citations
  49. Bayesian Optimization Meets Bayesian Optimal Stopping ↗Zhongxiang Dai, Haibin Yu, Bryan Kian Hsiang Low et al.23 citations
  50. Teaching a black-box learner ↗Sanjoy Dasgupta, Daniel Hsu, Stefanos Poulis et al.23 citations
  51. Gaining Free or Low-Cost Interpretability with Interpretable Partial Substitute ↗Tong Wang22 citations
  52. SGD without Replacement: Sharper Rates for General Smooth Convex Functions ↗Anant Raj, Prateek Jain, Praneeth Netrapalli22 citations
  53. A Better k-means++ Algorithm via Local Search ↗Silvio Lattanzi, Christian Sohler21 citations
  54. A Personalized Affective Memory Model for Improving Emotion Recognition ↗Pablo V. A. Barros, German Ignacio Parisi, Stefan Wermter20 citations
  55. Composing Value Functions in Reinforcement Learning. ↗Benjamin van Niekerk, Steven D. James, Adam Christopher Earle et al.19 citations
  56. Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance ↗Dasaem Jeong, Taegyun Kwon, Yoojin Kim et al.19 citations
  57. Causal Identification under Markov Equivalence: Completeness Results ↗Amin Jaber, Jiji Zhang, Elias Bareinboim18 citations
  58. Concentration Inequalities for Conditional Value at Risk ↗Philip S. Thomas, Erik G. Miller18 citations
  59. Faster Algorithms for Binary Matrix Factorization ↗Ravi Kumar, Rina Panigrahy‎, Ali Rahimi et al.18 citations
  60. Differentiable Dynamic Normalization for Learning Deep Representation ↗Ping Luo, Zhanglin Peng, Wenqi Shao et al.17 citations
  61. Efficient On-Device Models using Neural Projections ↗Sujith Ravi17 citations
  62. Improved Parallel Algorithms for Density-Based Network Clustering ↗Mohsen Ghaffari, Silvio Lattanzi, Slobodan Mitrović17 citations
  63. Ladder Capsule Network. ↗Taewon Jeong, Youngmin Lee, Heeyoung Kim17 citations
  64. On the Design of Estimators for Bandit Off-Policy Evaluation ↗Nikos A. Vlassis, Aurélien Bibaut, Maria Dimakopoulou et al.17 citations
  65. Poission Subsampled Rényi Differential Privacy. ↗Yuqing Zhu, Yu-Xiang Wang17 citations
  66. Unifying Orthogonal Monte Carlo Methods ↗Krzysztof Choromański, Mark Rowland, Wenyu Chen et al.17 citations
  67. Anytime Online-to-Batch, Optimism and Acceleration ↗Ashok Cutkosky16 citations
  68. Bias Also Matters: Bias Attribution for Deep Neural Network Explanation ↗Shengjie Wang, Tianyi Zhou, Jeff Bilmes16 citations
  69. Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm ↗Kejun Huang, Xiao Fu16 citations
  70. Statistical Foundations of Virtual Democracy ↗Anson Kahng, Min Kyung Lee, Ritesh Noothigattu et al.16 citations
  71. CapsAndRuns: An Improved Method for Approximately Optimal Algorithm Configuration ↗Gellért Weisz, András György, Csaba Szepesvári15 citations
  72. Collective Model Fusion for Multiple Black-Box Experts ↗Quang Minh Hoang, Trong Nghia Hoang, Bryan Kian Hsiang Low et al.15 citations
  73. Linear-Complexity Data-Parallel Earth Mover's Distance Approximations. ↗Kubilay Atasu, Thomas Mittelholzer15 citations
  74. Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications. ↗Albert Gural, Boris Murmann15 citations
  75. Transfer of Samples in Policy Search via Multiple Importance Sampling ↗Andrea Tirinzoni, Mattia Salvini, Marcello Restelli14 citations
  76. Better generalization with less data using robust gradient descent ↗Matthew J. Holland, Kazushi Ikeda13 citations
  77. Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games ↗Adrian Rivera Cardoso, Jacob Abernethy, He Wang et al.13 citations
  78. Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation ↗Jinyang Yuan, Bin Li, Xiangyang Xue13 citations
  79. Incremental Randomized Sketching for Online Kernel Learning ↗Xiao Zhang, Shizhong Liao13 citations
  80. On the statistical rate of nonlinear recovery in generative models with heavy-tailed data ↗Xiaohan Wei, Zhuoran Yang, Zhaoran Wang13 citations
  81. Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference ↗Yatao Bian, Joachim M. Buhmann, Andreas Krause13 citations
  82. Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization ↗Chengyue Gong, Jian Xun Peng, Qiang Liu13 citations
  83. Jumpout : Improved Dropout for Deep Neural Networks with ReLUs ↗Shengjie Wang, Tianyi Zhou, Jeff Bilmes12 citations
  84. Learning Context-dependent Label Permutations for Multi-label Classification ↗Jinseok Nam, Young‐Bum Kim, Eneldo Loza Mencía et al.12 citations
  85. Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments. ↗Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang et al.12 citations
  86. Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards. ↗Shiyin Lu, Guanghui Wang, Yao Hu et al.12 citations
  87. Blended Conditonal Gradients ↗Gábor Braun, Sebastian Pokutta, Dan Tu et al.11 citations
  88. Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization ↗Kai Zhang, Sheng Zhang, Jun Liu et al.11 citations
  89. Kernel-Based Reinforcement Learning in Robust Markov Decision Processes. ↗Shiau Hong Lim, Arnaud Autef11 citations
  90. Learning from a Learner ↗Alexis Jacq, Matthieu Geist, Ana Paiva et al.11 citations
  91. On discriminative learning of prediction uncertainty ↗Vojtěch Franc, Daniel Průša11 citations
  92. Rehashing Kernel Evaluation in High Dimensions ↗Paris Siminelakis, Kexin Rong, Peter D. Bailis et al.11 citations
  93. A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes ↗Jennifer Gillenwater, Alex Kulesza, Zelda Mariet et al.10 citations
  94. GainForest: Scaling Climate Finance for Forest Conservation using Interpretable Machine Learning on Satellite Imagery ↗David Dao, Catherine Cang, Clement Fung et al.10 citations
  95. Shape Constraints for Set Functions ↗Andrew Cotter, Maya R. Gupta, Heinrich Jiang et al.10 citations
  96. Sublinear Time Nearest Neighbor Search over Generalized Weighted Space ↗Yifan Lei, Qiang Huang, Mohan Kankanhalli et al.10 citations
  97. When Samples Are Strategically Selected ↗Hanrui Zhang, Yu Cheng, Vincent Conitzer10 citations
  98. Noisy Dual Principal Component Pursuit ↗Tianyu Ding, Zhihui Zhu, Tianjiao Ding et al.9 citations
  99. A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology ↗Onur Dereli, Ceyda Oǧuz, Mehmet Gönen8 citations
  100. Data Poisoning Attacks in Multi-Party Learning. ↗Saeed Mahloujifar, Mohammad Mahmoody, Ameer Mohammed8 citations

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