ICML

Information Flow in Self-Supervised Learning

Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang

Comments Published at ICML 2024

Think Before You Act: Decision Transformers with Working Memory

Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu

Comments Accepted at ICML 2024

Efficient Error Certification for Physics-Informed Neural Networks

Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy Dj Dvijotham, Philip Torr, M. Pawan Kumar

Comments Accepted to ICML'24

Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints

Yuantong Li, Guang Cheng, Xiaowu Dai

Comments Proceedings of the 41th International Conference on Machine Learning, (ICML 2024)

Understanding Inter-Concept Relationships in Concept-Based Models

Naveen Raman, Mateo Espinosa Zarlenga, Mateja Jamnik

Comments Accepted at ICML 2024

Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning

Xinran Li, Zifan Liu, Shibo Chen, Jun Zhang

Comments Accepted by the Forty-first International Conference on Machine Learning

HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning

Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao

Comments Published at ICML 2024

Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses

Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos, Mihalis Nicolaou, Yannis Panagakis

Comments Accepted at ICML 2024. Code available at: https://github.com/pakoromilas/DHEL-KCL.git

FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction

Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang

Comments This paper has been accepted by ICML 2024 (poster)

Diffusion Rejection Sampling

Byeonghu Na, Yeongmin Kim, Minsang Park, Donghyeok Shin, Wanmo Kang, Il-Chul Moon

Comments Accepted at ICML 2024

Unmasking Vulnerabilities: Cardinality Sketches under Adaptive Inputs

Sara Ahmadian, Edith Cohen

Journal ref ICML 2024

AI Alignment with Changing and Influenceable Reward Functions

Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca Dragan

Comments Accepted to ICML 2024

Understanding Forgetting in Continual Learning with Linear Regression

Meng Ding, Kaiyi Ji, Di Wang, Jinhui Xu

Comments To be published in The 41st International Conference on Machine Learning

Outlier-robust Kalman Filtering through Generalised Bayes

Gerardo Duran-Martin, Matias Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Murphy

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

Hypergraph-enhanced Dual Semi-supervised Graph Classification

Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang

Comments Accepted by Proceedings of the 41st International Conference on Machine Learning (ICML 2024)

Spider: A Unified Framework for Context-dependent Concept Segmentation

Xiaoqi Zhao, Youwei Pang, Wei Ji, Baicheng Sheng, Jiaming Zuo, Lihe Zhang, Huchuan Lu

Comments Accepted by ICML 2024

MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space

Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma

Comments Accepted to ICML 2024

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang

Comments Accepted by ICML 2024

Premise Order Matters in Reasoning with Large Language Models

Xinyun Chen, Ryan A. Chi, Xuezhi Wang, Denny Zhou

Comments Published at ICML 2024. Xinyun and Ryan contribute equally

Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs

Daniel D. Johnson, Daniel Tarlow, David Duvenaud, Chris J. Maddison

Comments Accepted at ICML 2024. 9 pages, 6 figures

Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products

Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron

Comments Published at ICML 2024

Weisfeiler-Leman at the margin: When more expressivity matters

Billy J. Franks, Christopher Morris, Ameya Velingker, Floris Geerts

Comments Accepted at ICML 2024. arXiv admin note: text overlap with arXiv:2301.11039

Towards Understanding Inductive Bias in Transformers: A View From Infinity

Itay Lavie, Guy Gur-Ari, Zohar Ringel

Comments ICML 2024

Journal ref Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024

Representation Surgery for Multi-Task Model Merging

Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao

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

Selecting Large Language Model to Fine-tune via Rectified Scaling Law

Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang

Journal ref ICML 2024

Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities

Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro

Comments ICML 2024

Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks

Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz

Comments 27 pages (9 pages of main text, 4 pages of references, and 14 pages of appendix), 13 figures, and 7 Tables

Journal ref Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024

Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning

Jiachen Li, Qiaozi Gao, Michael Johnston, Xiaofeng Gao, Xuehai He, Suhaila Shakiah, Hangjie Shi, Reza Ghanadan, William Yang Wang

Comments Accepted by ICML 2024. Project page: https://midas-icml.github.io

STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment

Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang

Comments ICML 2024

Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels

Ke Wang, Guillermo Ortiz-Jimenez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard

Comments Accepted ICML 2024