---
title: "ICML 2019 — all accepted papers with summaries and citations"
description: "All 154 papers of ICML 2019 · page 1 of 2, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2019/papers/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2019/papers/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [ICML](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/) / [2019](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2019/) / papers

# ICML 2019: all accepted papers

154 papers · page 1 of 2 · the most cited first · [← ICML 2019](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2019/)

**1** [2](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2019/papers/page/2/) [next →](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2019/papers/page/2/)

1. **[Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation ↗](http://proceedings.mlr.press/v97/chen19i/chen19i.pdf)**Xinyang Chen, Sinan Wang, Mingsheng Long et al.*242 citations*
2. **[Analyzing Federated Learning through an Adversarial Lens ↗](http://proceedings.mlr.press/v97/bhagoji19a/bhagoji19a.pdf)**Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal et al.*188 citations*
3. **[SELFIE: Refurbishing Unclean Samples for Robust Deep Learning ↗](http://proceedings.mlr.press/v97/song19b/song19b.pdf)**Hwanjun Song, Minseok Kim, Jae-Gil Lee*175 citations*
4. **[Invertible Residual Networks ↗](http://proceedings.mlr.press/v97/behrmann19a/behrmann19a.pdf)**Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen et al.*161 citations*
5. **[On learning invariant representations for domain adaptation ↗](http://proceedings.mlr.press/v97/zhao19a/zhao19a.pdf)**Han Zhao, Rémi Tachet des Combes, Kun Zhang et al.*160 citations*
6. **[A Deep Reinforcement Learning Perspective on Internet Congestion Control ↗](http://proceedings.mlr.press/v97/jay19a/jay19a.pdf)**Nathan H. Jay, Noga H. Rotman, Brighten Godfrey et al.*152 citations*
7. **[Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers ↗](http://proceedings.mlr.press/v97/liu19b/liu19b.pdf)**Hong Liu, Mingsheng Long, Jianmin Wang et al.*147 citations*
8. **[Disentangled Graph Convolutional Networks ↗](http://proceedings.mlr.press/v97/ma19a/ma19a.pdf)**Jianxin Ma, Peng Cui, Kun Kuang et al.*119 citations*
9. **[COMIC: Multi-view Clustering Without Parameter Selection ↗](http://proceedings.mlr.press/v97/peng19a/peng19a.pdf)**Xi Peng, Zhenyu Huang, Jiancheng Lv et al.*118 citations*
10. **[MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets ↗](http://proceedings.mlr.press/v97/mattei19a/mattei19a.pdf)**Pierre‐Alexandre Mattei, Jes Frellsen*107 citations*
11. **[Doubly robust joint learning for recommendation on data missing not at random ↗](http://proceedings.mlr.press/v97/wang19n/wang19n.pdf)**Xiaojie Wang, Rui Zhang, Yu Sun et al.*88 citations*
12. **[Optimal Auctions through Deep Learning ↗](http://proceedings.mlr.press/v97/duetting19a/duetting19a.pdf)**Paul Dütting, Zhe Feng, Harikrishna Narasimhan et al.*83 citations*
13. **[Graph U-Nets ↗](http://proceedings.mlr.press/v97/gao19a/gao19a.pdf)**Hongyang Gao, Shuiwang Ji*82 citations*
14. **[Concrete Autoencoders: Differentiable Feature Selection and Reconstruction. ↗](http://proceedings.mlr.press/v97/balin19a/balin19a.pdf)**Muhammed Fati̇h Balin, Abubakar Abid, James Zou*80 citations*
15. **[What is the Effect of Importance Weighting in Deep Learning ↗](http://proceedings.mlr.press/v97/byrd19a/byrd19a.pdf)**Jonathon Byrd, Zachary C. Lipton*77 citations*
16. **[Collaborative Channel Pruning for Deep Networks ↗](http://proceedings.mlr.press/v97/peng19c/peng19c.pdf)**Hanyu Peng, Jiaxiang Wu, Shifeng Chen et al.*76 citations*
17. **[DL2: Training and Querying Neural Networks with Logic. ↗](http://proceedings.mlr.press/v97/fischer19a/fischer19a.pdf)**Marc Fischer, Mislav Balunović, Dana Drachsler-Cohen et al.*68 citations*
18. **[Adversarial Examples Are a Natural Consequence of Test Error in Noise ↗](http://proceedings.mlr.press/v97/gilmer19a/gilmer19a.pdf)**Justin Gilmer, Nic Ford, Nicholas Carlini et al.*66 citations*
19. **[Circuit-GNN: Graph Neural Networks for Distributed Circuit Design ↗](http://proceedings.mlr.press/v97/zhang19e/zhang19e.pdf)**Zhang Guo, He Hao, Dina Katabi*66 citations*
20. **[Towards a Deep and Unified Understanding of Deep Neural Models in NLP ↗](http://proceedings.mlr.press/v97/guan19a/guan19a.pdf)**Chaoyu Guan, Xiting Wang, Quanshi Zhang et al.*64 citations*
21. **[HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving ↗](http://proceedings.mlr.press/v97/bansal19a/bansal19a.pdf)**Kshitij Bansal, Sarah M. Loos, Markus N. Rabe et al.*63 citations*
22. **[Efficient Training of BERT by Progressively Stacking ↗](http://proceedings.mlr.press/v97/gong19a/gong19a.pdf)**Linyuan Gong, Di He, Zhuohan Li et al.*62 citations*
23. **[Shallow-Deep Networks: Understanding and Mitigating Network Overthinking ↗](http://proceedings.mlr.press/v97/kaya19a/kaya19a.pdf)**Yiğitcan Kaya, Sanghyun Hong, Tudor Dumitraş*55 citations*
24. **[Unreproducible Research is Reproducible ↗](http://proceedings.mlr.press/v97/bouthillier19a/bouthillier19a.pdf)**Xavier Bouthillier, César Laurent, Pascal Vincent*54 citations*
25. **[A Framework for Bayesian Optimization in Embedded Subspaces ↗](http://proceedings.mlr.press/v97/nayebi19a/nayebi19a.pdf)**Amin Nayebi, Alexander Munteanu, Matthias Poloczek*51 citations*
26. **[Fairness without Harm: Decoupled Classifiers with Preference Guarantees ↗](http://proceedings.mlr.press/v97/ustun19a/ustun19a.pdf)**Berk Ustun, Yang Liu, David C. Parkes*51 citations*
27. **[Politex: Regret Bounds for Policy Iteration using Expert Prediction ↗](http://proceedings.mlr.press/v97/lazic19a/lazic19a.pdf)**Yasin Abbasi-Yadkori, Peter L. Bartlett, Kush Bhatia et al.*46 citations*
28. **[Provable Guarantees for Gradient-Based Meta-Learning. ↗](http://proceedings.mlr.press/v97/balcan19a/balcan19a.pdf)**Maria-Florina Balcan, Mikhail Khodak, Ameet Talwalkar*44 citations*
29. **[Lorentzian Distance Learning for Hyperbolic Representations ↗](http://proceedings.mlr.press/v97/law19a/law19a.pdf)**Marc T. Law, Renjie Liao, Jake Snell et al.*42 citations*
30. **[Online Algorithms for Rent-Or-Buy with Expert Advice. ↗](http://proceedings.mlr.press/v97/gollapudi19a/gollapudi19a.pdf)**Sreenivas Gollapudi, Debmalya Panigrahi*42 citations*
31. **[Co-Representation Network for Generalized Zero-Shot Learning ↗](http://proceedings.mlr.press/v97/zhang19l/zhang19l.pdf)**Fei Zhang, Guangming Shi*40 citations*
32. **[Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models ↗](http://proceedings.mlr.press/v97/cohen19a/cohen19a.pdf)**Eldan Cohen, J. Christopher Beck*40 citations*
33. **[Adversarially Learned Representations for Information Obfuscation and Inference ↗](http://proceedings.mlr.press/v97/bertran19a/bertran19a.pdf)**Martín Bertrán, Natalia Martínez, Afroditi Papadaki et al.*37 citations*
34. **[Alternating Minimizations Converge to Second-Order Optimal Solutions ↗](http://proceedings.mlr.press/v97/li19n/li19n.pdf)**Qiuwei Li, Zhihui Zhu, Gongguo Tang*37 citations*
35. **[Power k-Means Clustering ↗](http://proceedings.mlr.press/v97/xu19a/xu19a.pdf)**Jason Xu, Kenneth L. Lange*37 citations*
36. **[Fairness-Aware Learning for Continuous Attributes and Treatments ↗](http://proceedings.mlr.press/v97/mary19a/mary19a.pdf)**Jérémie Mary, Clément Calauzènes, Noureddine El Karoui*36 citations*
37. **[CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network ↗](http://proceedings.mlr.press/v97/kenter19a/kenter19a.pdf)**Tom Kenter, Vincent Wan, Chun-an Chan et al.*35 citations*
38. **[Taming MAML: Efficient unbiased meta-reinforcement learning ↗](http://proceedings.mlr.press/v97/liu19g/liu19g.pdf)**Hao Liu, Richard Socher, Caiming Xiong*35 citations*
39. **[PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach ↗](http://proceedings.mlr.press/v97/weng19a/weng19a.pdf)**Lily Weng, Pin‐Yu Chen, Lam M. Nguyen et al.*34 citations*
40. **[Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy ↗](http://proceedings.mlr.press/v97/amin19a/amin19a.pdf)**Alex Kulesza, Andrés Muñoz Medina, Kareem Amin et al.*32 citations*
41. **[Learning Linear-Quadratic Regulators Efficiently with only √ T Regret ↗](http://proceedings.mlr.press/v97/cohen19b/cohen19b.pdf)**Alon Cohen, Tomer Koren, Yishay Mansour*32 citations*
42. **[Validating Causal Inference Models via Influence Functions ↗](http://proceedings.mlr.press/v97/alaa19a/alaa19a.pdf)**Ahmed M. Alaa, Mihaela van der Schaar*32 citations*
43. **[LIT: Learned Intermediate Representation Training for Model Compression ↗](http://proceedings.mlr.press/v97/koratana19a/koratana19a.pdf)**Animesh Koratana, Daniel D. Kang, Peter D. Bailis et al.*31 citations*
44. **[CAB: Continuous Adaptive Blending for Policy Evaluation and Learning ↗](http://proceedings.mlr.press/v97/su19a/su19a.pdf)**Yi Su, Lequn Wang, Michele Santacatterina et al.*30 citations*
45. **[Differentially Private Empirical Risk Minimization with Non-convex Loss Functions ↗](http://proceedings.mlr.press/v97/wang19c/wang19c.pdf)**Di Wang, Changyou Chen, Jinhui Xu*30 citations*
46. **[Hessian Aided Policy Gradient ↗](http://proceedings.mlr.press/v97/shen19d/shen19d.pdf)**Zebang Shen, Alejandro Ribeiro, Hamed Hassani et al.*30 citations*
47. **[LegoNet: Efficient Convolutional Neural Networks with Lego Filters ↗](http://proceedings.mlr.press/v97/yang19c/yang19c.pdf)**Zhaohui Yang, Yunhe Wang, Chuanjian Liu et al.*30 citations*
48. **[Sensitivity Analysis of Linear Structural Causal Models ↗](http://proceedings.mlr.press/v97/cinelli19a/cinelli19a.pdf)**Carlos Cinelli, Daniel R. Kumor, Bryant Chen et al.*25 citations*
49. **[Bayesian Optimization Meets Bayesian Optimal Stopping ↗](http://proceedings.mlr.press/v97/dai19a/dai19a.pdf)**Zhongxiang Dai, Haibin Yu, Bryan Kian Hsiang Low et al.*23 citations*
50. **[Teaching a black-box learner ↗](http://proceedings.mlr.press/v97/dasgupta19a/dasgupta19a.pdf)**Sanjoy Dasgupta, Daniel Hsu, Stefanos Poulis et al.*23 citations*
51. **[Gaining Free or Low-Cost Interpretability with Interpretable Partial Substitute ↗](http://proceedings.mlr.press/v97/wang19a/wang19a.pdf)**Tong Wang*22 citations*
52. **[SGD without Replacement: Sharper Rates for General Smooth Convex Functions ↗](http://proceedings.mlr.press/v97/nagaraj19a/nagaraj19a.pdf)**Anant Raj, Prateek Jain, Praneeth Netrapalli*22 citations*
53. **[A Better k-means++ Algorithm via Local Search ↗](http://proceedings.mlr.press/v97/lattanzi19a/lattanzi19a.pdf)**Silvio Lattanzi, Christian Sohler*21 citations*
54. **[A Personalized Affective Memory Model for Improving Emotion Recognition ↗](http://proceedings.mlr.press/v97/barros19a/barros19a.pdf)**Pablo V. A. Barros, German Ignacio Parisi, Stefan Wermter*20 citations*
55. **[Composing Value Functions in Reinforcement Learning. ↗](http://proceedings.mlr.press/v97/van-niekerk19a/van-niekerk19a.pdf)**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 ↗](http://proceedings.mlr.press/v97/jeong19a/jeong19a.pdf)**Dasaem Jeong, Taegyun Kwon, Yoojin Kim et al.*19 citations*
57. **[Causal Identification under Markov Equivalence: Completeness Results ↗](http://proceedings.mlr.press/v97/jaber19a/jaber19a.pdf)**Amin Jaber, Jiji Zhang, Elias Bareinboim*18 citations*
58. **[Concentration Inequalities for Conditional Value at Risk ↗](http://proceedings.mlr.press/v97/thomas19a/thomas19a.pdf)**Philip S. Thomas, Erik G. Miller*18 citations*
59. **[Faster Algorithms for Binary Matrix Factorization ↗](http://proceedings.mlr.press/v97/kumar19a/kumar19a.pdf)**Ravi Kumar, Rina Panigrahy‎, Ali Rahimi et al.*18 citations*
60. **[Differentiable Dynamic Normalization for Learning Deep Representation ↗](http://proceedings.mlr.press/v97/luo19a/luo19a.pdf)**Ping Luo, Zhanglin Peng, Wenqi Shao et al.*17 citations*
61. **[Efficient On-Device Models using Neural Projections ↗](http://proceedings.mlr.press/v97/ravi19a/ravi19a.pdf)**Sujith Ravi*17 citations*
62. **[Improved Parallel Algorithms for Density-Based Network Clustering ↗](http://proceedings.mlr.press/v97/ghaffari19a/ghaffari19a.pdf)**Mohsen Ghaffari, Silvio Lattanzi, Slobodan Mitrović*17 citations*
63. **[Ladder Capsule Network. ↗](http://proceedings.mlr.press/v97/jeong19b/jeong19b.pdf)**Taewon Jeong, Youngmin Lee, Heeyoung Kim*17 citations*
64. **[On the Design of Estimators for Bandit Off-Policy Evaluation ↗](http://proceedings.mlr.press/v97/vlassis19a/vlassis19a.pdf)**Nikos A. Vlassis, Aurélien Bibaut, Maria Dimakopoulou et al.*17 citations*
65. **[Poission Subsampled Rényi Differential Privacy. ↗](http://proceedings.mlr.press/v97/zhu19c/zhu19c.pdf)**Yuqing Zhu, Yu-Xiang Wang*17 citations*
66. **[Unifying Orthogonal Monte Carlo Methods ↗](http://proceedings.mlr.press/v97/choromanski19a/choromanski19a.pdf)**Krzysztof Choromański, Mark Rowland, Wenyu Chen et al.*17 citations*
67. **[Anytime Online-to-Batch, Optimism and Acceleration ↗](http://proceedings.mlr.press/v97/cutkosky19a/cutkosky19a.pdf)**Ashok Cutkosky*16 citations*
68. **[Bias Also Matters: Bias Attribution for Deep Neural Network Explanation ↗](http://proceedings.mlr.press/v97/wang19p/wang19p.pdf)**Shengjie Wang, Tianyi Zhou, Jeff Bilmes*16 citations*
69. **[Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm ↗](http://proceedings.mlr.press/v97/huang19c/huang19c.pdf)**Kejun Huang, Xiao Fu*16 citations*
70. **[Statistical Foundations of Virtual Democracy ↗](http://proceedings.mlr.press/v97/kahng19a/kahng19a.pdf)**Anson Kahng, Min Kyung Lee, Ritesh Noothigattu et al.*16 citations*
71. **[CapsAndRuns: An Improved Method for Approximately Optimal Algorithm Configuration ↗](http://proceedings.mlr.press/v97/weisz19a/weisz19a.pdf)**Gellért Weisz, András György, Csaba Szepesvári*15 citations*
72. **[Collective Model Fusion for Multiple Black-Box Experts ↗](http://proceedings.mlr.press/v97/hoang19a/hoang19a.pdf)**Quang Minh Hoang, Trong Nghia Hoang, Bryan Kian Hsiang Low et al.*15 citations*
73. **[Linear-Complexity Data-Parallel Earth Mover's Distance Approximations. ↗](http://proceedings.mlr.press/v97/atasu19a/atasu19a.pdf)**Kubilay Atasu, Thomas Mittelholzer*15 citations*
74. **[Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications. ↗](http://proceedings.mlr.press/v97/gural19a/gural19a.pdf)**Albert Gural, Boris Murmann*15 citations*
75. **[Transfer of Samples in Policy Search via Multiple Importance Sampling ↗](http://proceedings.mlr.press/v97/tirinzoni19a/tirinzoni19a.pdf)**Andrea Tirinzoni, Mattia Salvini, Marcello Restelli*14 citations*
76. **[Better generalization with less data using robust gradient descent ↗](http://proceedings.mlr.press/v97/holland19a/holland19a.pdf)**Matthew J. Holland, Kazushi Ikeda*13 citations*
77. **[Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games ↗](http://proceedings.mlr.press/v97/cardoso19a/cardoso19a.pdf)**Adrian Rivera Cardoso, Jacob Abernethy, He Wang et al.*13 citations*
78. **[Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation ↗](http://proceedings.mlr.press/v97/yuan19b/yuan19b.pdf)**Jinyang Yuan, Bin Li, Xiangyang Xue*13 citations*
79. **[Incremental Randomized Sketching for Online Kernel Learning ↗](http://proceedings.mlr.press/v97/zhang19h/zhang19h.pdf)**Xiao Zhang, Shizhong Liao*13 citations*
80. **[On the statistical rate of nonlinear recovery in generative models with heavy-tailed data ↗](http://proceedings.mlr.press/v97/wei19b/wei19b.pdf)**Xiaohan Wei, Zhuoran Yang, Zhaoran Wang*13 citations*
81. **[Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference ↗](http://proceedings.mlr.press/v97/bian19a/bian19a.pdf)**Yatao Bian, Joachim M. Buhmann, Andreas Krause*13 citations*
82. **[Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization ↗](http://proceedings.mlr.press/v97/gong19b/gong19b.pdf)**Chengyue Gong, Jian Xun Peng, Qiang Liu*13 citations*
83. **[Jumpout : Improved Dropout for Deep Neural Networks with ReLUs ↗](http://proceedings.mlr.press/v97/wang19q/wang19q.pdf)**Shengjie Wang, Tianyi Zhou, Jeff Bilmes*12 citations*
84. **[Learning Context-dependent Label Permutations for Multi-label Classification ↗](http://proceedings.mlr.press/v97/nam19a/nam19a.pdf)**Jinseok Nam, Young‐Bum Kim, Eneldo Loza Mencía et al.*12 citations*
85. **[Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments. ↗](http://proceedings.mlr.press/v97/kandasamy19a/kandasamy19a.pdf)**Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang et al.*12 citations*
86. **[Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards. ↗](http://proceedings.mlr.press/v97/lu19c/lu19c.pdf)**Shiyin Lu, Guanghui Wang, Yao Hu et al.*12 citations*
87. **[Blended Conditonal Gradients ↗](http://proceedings.mlr.press/v97/braun19a/braun19a.pdf)**Gábor Braun, Sebastian Pokutta, Dan Tu et al.*11 citations*
88. **[Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization ↗](http://proceedings.mlr.press/v97/zhang19r/zhang19r.pdf)**Kai Zhang, Sheng Zhang, Jun Liu et al.*11 citations*
89. **[Kernel-Based Reinforcement Learning in Robust Markov Decision Processes. ↗](http://proceedings.mlr.press/v97/lim19a/lim19a.pdf)**Shiau Hong Lim, Arnaud Autef*11 citations*
90. **[Learning from a Learner ↗](http://proceedings.mlr.press/v97/jacq19a/jacq19a.pdf)**Alexis Jacq, Matthieu Geist, Ana Paiva et al.*11 citations*
91. **[On discriminative learning of prediction uncertainty ↗](http://proceedings.mlr.press/v97/franc19a/franc19a.pdf)**Vojtěch Franc, Daniel Průša*11 citations*
92. **[Rehashing Kernel Evaluation in High Dimensions ↗](http://proceedings.mlr.press/v97/siminelakis19a/siminelakis19a.pdf)**Paris Siminelakis, Kexin Rong, Peter D. Bailis et al.*11 citations*
93. **[A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes ↗](http://proceedings.mlr.press/v97/gillenwater19a/gillenwater19a.pdf)**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 ↗](https://www.research-collection.ethz.ch/handle/20.500.11850/395334)**David Dao, Catherine Cang, Clement Fung et al.*10 citations*
95. **[Shape Constraints for Set Functions ↗](http://proceedings.mlr.press/v97/cotter19a/cotter19a.pdf)**Andrew Cotter, Maya R. Gupta, Heinrich Jiang et al.*10 citations*
96. **[Sublinear Time Nearest Neighbor Search over Generalized Weighted Space ↗](http://proceedings.mlr.press/v97/lei19a/lei19a.pdf)**Yifan Lei, Qiang Huang, Mohan Kankanhalli et al.*10 citations*
97. **[When Samples Are Strategically Selected ↗](http://proceedings.mlr.press/v97/zhang19c/zhang19c.pdf)**Hanrui Zhang, Yu Cheng, Vincent Conitzer*10 citations*
98. **[Noisy Dual Principal Component Pursuit ↗](http://proceedings.mlr.press/v97/ding19b/ding19b.pdf)**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 ↗](http://proceedings.mlr.press/v97/dereli19a/dereli19a.pdf)**Onur Dereli, Ceyda Oǧuz, Mehmet Gönen*8 citations*
100. **[Data Poisoning Attacks in Multi-Party Learning. ↗](http://proceedings.mlr.press/v97/mahloujifar19a/mahloujifar19a.pdf)**Saeed Mahloujifar, Mohammad Mahmoody, Ameer Mohammed*8 citations*

**1** [2](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2019/papers/page/2/) [next →](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2019/papers/page/2/)

- [← back to](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2019/) — ICML 2019