ICML

Offline Reinforcement Learning with Imbalanced Datasets

Li Jiang, Sijie Cheng, Jielin Qiu, Haoran Xu, Wai Kin Chan, Zhao Ding

Journal ref ICML 2023, workshop on Data-centric Machine Learning Research

Unsupervised Episode Generation for Graph Meta-learning

Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park

Comments 24 pages, 15 figures, 16 Tables; accepted at ICML 2024

Robust Classification via a Single Diffusion Model

Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu

Comments Accepted by ICML 2024

Journal ref ICML 2024

Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices

Nathaniel Cohen, Vladimir Kulikov, Matan Kleiner, Inbar Huberman-Spiegelglas, Tomer Michaeli

Comments ICML 2024. Code and examples are available at https://matankleiner.github.io/slicedit/

Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning

Kai Gan, Tong Wei

Comments Accepted to ICML 2024

Configurable Mirror Descent: Towards a Unification of Decision Making

Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An

Comments Accepted to The Forty-first International Conference on Machine Learning (ICML 2024)

Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation

Yididiya Y. Nadew, Xuhui Fan, Christopher J. Quinn

Comments 23 pages, 2 figures, ICML

Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model

Chenyin Gao, Zhiming Zhang, Shu Yang

Comments Accepted for publication in ICML, 2024

Adaptive Stabilization Based on Machine Learning for Column Generation

Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew Eberhard, Guangquan Zhang

Comments Accepted by ICML'24

Trustworthy Actionable Perturbations

Jesse Friedbaum, Sudarshan Adiga, Ravi Tandon

Comments Accepted at the 41st International Conference on Machine Learning (ICML) 2024

Sign Rank Limitations for Inner Product Graph Decoders

Su Hyeong Lee, Qingqi Zhang, Risi Kondor

Comments Accepted by ICML 2024

REMEDI: Corrective Transformations for Improved Neural Entropy Estimation

Viktor Nilsson, Anirban Samaddar, Sandeep Madireddy, Pierre Nyquist

Comments To appear in ICML 2024. 30 pages, 18 figures

Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures

Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao

Comments Accepted by ICML 2024

Exploration and Anti-Exploration with Distributional Random Network Distillation

Kai Yang, Jian Tao, Jiafei Lyu, Xiu Li

Comments ICML 2024 accepted

Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge

Conghan Yue, Zhengwei Peng, Junlong Ma, Shiyan Du, Pengxu Wei, Dongyu Zhang

Comments ICML 2024

Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation

Junyu Gao, Xuan Yao, Changsheng Xu

Comments Accepted by International Conference on Machine Learning (ICML 2024)

Class-Imbalanced Graph Learning without Class Rebalancing

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

Comments In ICML 2024; 26 pages, 9 figures, 12 tables

Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality

Guy Ohayon, Theo Adrai, Michael Elad, Tomer Michaeli

Journal ref Proceedings of the 40th International Conference on Machine Learning, PMLR 202:26474-26494, 2023

Critical feature learning in deep neural networks

Kirsten Fischer, Javed Lindner, David Dahmen, Zohar Ringel, Michael Krämer, Moritz Helias

Comments 31 pages, 7 figures, accepted at International Conference on Machine Learning 2024

Nonparametric Teaching of Implicit Neural Representations

Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik-Chung Wu, Ngai Wong

Comments ICML 2024 (24 pages, 13 figures)

Invariant Risk Minimization Is A Total Variation Model

Zhao-Rong Lai, Weiwen Wang

Comments ICML 2024

Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy

Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

Comments Accepted by ICML 2024

Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution

Eslam Zaher, Maciej Trzaskowski, Quan Nguyen, Fred Roosta

Comments Accepted at ICML 2024

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik

Comments ICML 2024

Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning

Junfeng Chen, Kailiang Wu

Journal ref Poster in International Conference on Machine Learning (ICML) 2024

Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Yuwei Zeng, Yao Mu, Lin Shao

Comments ICML 2024

Exploring Correlations of Self-Supervised Tasks for Graphs

Taoran Fang, Wei Zhou, Yifei Sun, Kaiqiao Han, Lvbin Ma, Yang Yang

Comments ICML 2024 Accepted

EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time

Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu

Comments 19 pages

Journal ref ICML 2024

Deep Regression Representation Learning with Topology

Shihao Zhang, kenji kawaguchi, Angela Yao

Comments ICML 2024

$f$-Divergence Based Classification: Beyond the Use of Cross-Entropy

Nicola Novello, Andrea M. Tonello

Comments Accepted at ICML 2024