ICML

Markpainting: Adversarial Machine Learning meets Inpainting

David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson

Comments Proceedings of the 38th International Conference on Machine Learning (ICML 2021)

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

Comments 38th International Conference on Machine Learning, PMLR 139, 2021

HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture

Qian Lou, Lei Jiang

Journal ref The Thirty-eighth International Conference on Machine Learning 2021

On Explainability of Graph Neural Networks via Subgraph Explorations

Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji

Comments Accepted by ICML 2021

The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization

Taiki Miyagawa, Akinori F. Ebihara

Comments Accepted to International Conference on Machine Learning (ICML) 2021

CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee

Tengyu Xu, Yingbin Liang, Guanghui Lan

Comments Published in ICML 2021

Topological Autoencoders

Michael Moor, Max Horn, Bastian Rieck, Karsten Borgwardt

Comments Accepted at the International Conference on Machine Learning (ICML) 2020; camera-ready version

AutoSampling: Search for Effective Data Sampling Schedules

Ming Sun, Haoxuan Dou, Baopu Li, Lei Cui, Junjie Yan, Wanli Ouyang

Comments Automl for sampling firstly without any assumpation

Journal ref ICML 2021

Towards Understanding Knowledge Distillation

Mary Phuong, Christoph H. Lampert

Comments ICML'19. Post-edited to add related work. arXiv admin note: text overlap with arXiv:2003.13438 by other authors

Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers

Yujia Bao, Shiyu Chang, Regina Barzilay

Comments ICML 2021

SG-PALM: a Fast Physically Interpretable Tensor Graphical Model

Yu Wang, Alfred Hero

Comments Accepted in ICML 2021

Lenient Regret and Good-Action Identification in Gaussian Process Bandits

Xu Cai, Selwyn Gomes, Jonathan Scarlett

Comments ICML 2021

REPAINT: Knowledge Transfer in Deep Reinforcement Learning

Yunzhe Tao, Sahika Genc, Jonathan Chung, Tao Sun, Sunil Mallya

Comments Published at ICML 2021

Hyperparameter Selection for Imitation Learning

Leonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Lukasz Stafiniak, Sertan Girgin, Raphael Marinier, Nikola Momchev, Sabela Ramos, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin

Comments ICML 2021

Principal Component Hierarchy for Sparse Quadratic Programs

Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari, Peyman Mohajerin Esfahani

Journal ref ICML 2021

Consistent regression when oblivious outliers overwhelm

Tommaso d'Orsi, Gleb Novikov, David Steurer

Comments To appear in ICML 2021

Combinatorial Blocking Bandits with Stochastic Delays

Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai

Comments International Conference on Machine Learning, ICML'21

Unifying Vision-and-Language Tasks via Text Generation

Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal

Comments ICML 2021 (15 pages, 4 figures, 14 tables)

Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research

Johan S. Obando-Ceron, Pablo Samuel Castro

Comments Proceedings of the 38th International Conference on Machine Learning (ICML 2021)

On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization

Xu Cai, Jonathan Scarlett

Comments ICML 2021

Cross-model Back-translated Distillation for Unsupervised Machine Translation

Xuan-Phi Nguyen, Shafiq Joty, Thanh-Tung Nguyen, Wu Kui, Ai Ti Aw

Comments Accepted to a conference paper at ICML 2021

Synthesizer: Rethinking Self-Attention in Transformer Models

Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng

Comments ICML 2021

A Precise Performance Analysis of Support Vector Regression

Houssem Sifaou, Abla kammoun, Mohamed-Slim Alouini

Comments Accepted for publication at ICML 2021

Inverse Constrained Reinforcement Learning

Usman Anwar, Shehryar Malik, Alireza Aghasi, Ali Ahmed

Comments Camera-ready version for ICML 2021

Cross-domain Imitation from Observations

Dripta S. Raychaudhuri, Sujoy Paul, Jeroen van Baar, Amit K. Roy-Chowdhury

Comments Accepted at ICML 2021 as a long presentation

Multi-group Agnostic PAC Learnability

Guy N Rothblum, Gal Yona

Comments To appear in ICML 2021

Variational Data Assimilation with a Learned Inverse Observation Operator

Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer

Comments Published at the International Conference on Machine Learning (ICML) 2021

Accelerating Gossip SGD with Periodic Global Averaging

Yiming Chen, Kun Yuan, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin

Comments Accepted to ICML 2021

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh

Comments To appear in ICML 2021

Principled Exploration via Optimistic Bootstrapping and Backward Induction

Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

Comments ICML 2021