ICML

APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design

Rishal Aggarwal, Akash Gupta, U Deva Priyakumar

Comments Accepted in The 2021 ICML Workshop on Computational Biology

Adaptation-Agnostic Meta-Training

Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung

Journal ref ICML 2021 AutoML workshop

Power Grid Cascading Failure Mitigation by Reinforcement Learning

Yongli Zhu

Comments This paper has been accepted by the ICML 2021 Workshop "Tackling Climate Change with Machine Learning". arXiv admin note: substantial text overlap with arXiv:1908.06599

Fast Margin Maximization via Dual Acceleration

Ziwei Ji, Nathan Srebro, Matus Telgarsky

Comments ICML 2021

Preferential Temporal Difference Learning

Nishanth Anand, Doina Precup

Comments Accepted at the 38th International Conference on Machine Learning (ICML, 2021)

Journal ref Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021, 286-296

Fast Sketching of Polynomial Kernels of Polynomial Degree

Zhao Song, David P. Woodruff, Zheng Yu, Lichen Zhang

Comments ICML 2021

A Multi-input Multi-output Transformer-based Hybrid Neural Network for Multi-class Privacy Disclosure Detection

A K M Nuhil Mehdy, Hoda Mehrpouyan

Comments 20 pages

Journal ref 2nd International Conference on Machine Learning Techniques and NLP (MLNLP 2021), September 18 - 19, 2021, Copenhagen, Denmark

Vehicle-counting with Automatic Region-of-Interest and Driving-Trajectory detection

Malolan Vasu, Nelson Abreu, Raysa Vásquez, Christian López

Comments 5 pages with 3 figures and 1 table. Presented in ICML 2021 LatinXAI Workshop

A Graph to Graphs Framework for Retrosynthesis Prediction

Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang

Comments ICML 2020

Detecting OODs as datapoints with High Uncertainty

Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Oleg Sokolsky, Insup Lee

Comments arXiv admin note: text overlap with arXiv:2103.12628

Journal ref Presented at the ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning

Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning

Andrea Zanette, Martin J. Wainwright, Emma Brunskill

Comments Initial submission; appeared as spotlight talk in ICML 2021 Workshop on Theory of RL

Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery

Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Xiaoxiang Zhu, Ce Zhang

Comments Spotlight talk at the Tackling Climate Change with Machine Learning workshop at the ICML 2021 https://www.climatechange.ai/papers/icml2021/79

Robust Inference for High-Dimensional Linear Models via Residual Randomization

Y. Samuel Wang, Si Kai Lee, Panos Toulis, Mladen Kolar

Journal ref International Conference on Machine Learning 2021

XAI Methods for Neural Time Series Classification: A Brief Review

Ilija Šimić, Vedran Sabol, Eduardo Veas

Comments 8 pages, 0 figures, Accepted as a poster presentation

Journal ref 2020 ICML Workshop on Human Interpretability in Machine Learning (WHI 2020)

Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation

Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kritika Prakash, Andrew Trask, Rickmer Braren, Marcus Makowski, Daniel Rueckert, Georgios Kaissis

Comments Accepted to the ICML 2021 Theory and Practice of Differential Privacy Workshop

Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions

Andrea Burns, Aaron Sarna, Dilip Krishnan, Aaron Maschinot

Comments Accepted at the ICML 2021 Self-Supervised Learning for Reasoning and Perception Workshop

Multiplying Matrices Without Multiplying

Davis Blalock, John Guttag

Comments To appear at ICML 2021

Journal ref PMLR 139:992-1004, 2021

Informative Class Activation Maps

Zhenyue Qin, Dongwoo Kim, Tom Gedeon

Comments ICML Workshop 2021

Neural Network Classifier as Mutual Information Evaluator

Zhenyue Qin, Dongwoo Kim, Tom Gedeon

Comments ICML Workshop 2021

A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization

HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin

Comments Accepted to ICML 2021

Journal ref Proceedings of the 38th International Conference on Machine Learning, PMLR 139:1193-1203, 2021

Improving Molecular Design by Stochastic Iterative Target Augmentation

Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi Jaakkola

Comments ICML 2020

Journal ref PMLR 119:10716-10726, 2020

MINE: Mutual Information Neural Estimation

Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, R Devon Hjelm

Comments 19 pages, 6 figures

Journal ref ICML 2018

An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide Cytology Images

Haomin Chen, T. Y. Alvin Liu, Catalina Gomez, Zelia Correa, Mathias Unberath

Comments Accepted by ICML 2021 workshop of ILHM

Scalable pragmatic communication via self-supervision

Jennifer Hu, Roger Levy, Noga Zaslavsky

Comments Workshop on Self-Supervised Learning @ ICML 2021

Local Correlation Clustering with Asymmetric Classification Errors

Jafar Jafarov, Sanchit Kalhan, Konstantin Makarychev, Yury Makarychev

Comments 24 pages, 2 figures. The conference version of this paper appeared in the proceedings of ICML 2021

Correlation Clustering with Asymmetric Classification Errors

Jafar Jafarov, Sanchit Kalhan, Konstantin Makarychev, Yury Makarychev

Comments 24 pages, 2 figures. The conference version of this paper appeared in the proceedings of ICML 2020

How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers

Marharyta Aleksandrova, Oleg Chertov

Comments Workshop on Distribution-Free Uncertainty Quantification at ICML 2021

On the Distinction Between "Conditional Average Treatment Effects" (CATE) and "Individual Treatment Effects" (ITE) Under Ignorability Assumptions

Brian G. Vegetabile

Comments 6 pages, 3 figures; Presented at 2021 ICML Workshop, "The Neglected Assumptions in Causal Inference", July 2021

Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces

Ziyad Sheebaelhamd, Konstantinos Zisis, Athina Nisioti, Dimitris Gkouletsos, Dario Pavllo, Jonas Kohler

Comments ICML 2021 Workshop on Reinforcement Learning for Real Life

Abstract Reasoning via Logic-guided Generation

Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

Comments ICML 2021 Workshop on Self-Supervised Learning for Reasoning and Perception (Spotlight Talk)