ICML

On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning

Jeongheon Oh, Kibok Lee

Comments ICML 2024

The Scaling Law in Stellar Light Curves

Jia-Shu Pan, Yuan-Sen Ting, Yang Huang, Jie Yu, Ji-Feng Liu

Comments 11 pages, 5 figures, ICML 2024 AI4Science workshop

SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization

Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang

Comments ICML 2024

How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?

Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen

Comments ICML 2024

Social Environment Design

Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen

Comments ICML 2024 Position Paper. Website at https://sed.eddie.win

Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers

Ron Dorfman, Naseem Yehya, Kfir Y. Levy

Comments ICML 2024

Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?

Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan

Comments Accepted at ICML 2024

Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation

Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang, Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He

Comments 17 pages, 7 figures, 8 tables; ICML 2024 Camera Ready version; Code: https://github.com/zhenyuhe00/BiPE

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

Comments ICML 2024 camera-ready version

Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions

Chetraj Pandey, Rafal A. Angryk, Berkay Aydin

Comments This is a preprint accepted at the 22nd International Conference on Machine Learning and Applications (ICMLA), 2023. 7 Pages, 6 Figures

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations

Kailas Vodrahalli, James Zou

Comments 31 pages, 27 figures, ICML 2024

Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg

Yi Feng, Georgios Piliouras, Xiao Wang

Comments Accepted for ICML 2024

Discrete Latent Perspective Learning for Segmentation and Detection

Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye

Comments ICML 2024 Spotlight

Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems

Ta Duy Nguyen, Alina Ene

Comments Accepted to ICML 2024

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Paul S. Scotti, Mihir Tripathy, Cesar Kadir Torrico Villanueva, Reese Kneeland, Tong Chen, Ashutosh Narang, Charan Santhirasegaran, Jonathan Xu, Thomas Naselaris, Kenneth A. Norman, Tanishq Mathew Abraham

Comments In Forty-first International Conference on Machine Learning, 2024. Code at https://github.com/MedARC-AI/MindEyeV2. Published as a conference paper at ICML 2024

Particle Denoising Diffusion Sampler

Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet

Comments To be published in ICML 2024. 37 pages, 20 figures, 3 tables, 5 algorithms

RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback

Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson

Comments ICML 2024

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu

Comments 22 pages, 6 figures, 7 tables. In ICML 2024

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Katerina Fragkiadaki, Zackory Erickson, David Held, Chuang Gan

Comments ICML 2024

SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States

Noga Mudrik, Gal Mishne, Adam S. Charles

Comments Accepted to ICML 2024

Journal ref The Forty-first International Conference on Machine Learning. https://openreview.net/forum?id=h8aTi32tul

Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration

Gyusang Cho, Chan-Hyun Youn

Comments 20 pages, 11 figures, to appear in International Conference on Machine Learning (ICML2024)

Towards Scalable and Versatile Weight Space Learning

Konstantin Schürholt, Michael W. Mahoney, Damian Borth

Comments Accepted at ICML 2024

When Will Gradient Regularization Be Harmful?

Yang Zhao, Hao Zhang, Xiuyuan Hu

Comments ICML 2024 paper

Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences

Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li

Comments ICML 2024 camera ready

Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent

Yingru Li, Jiawei Xu, Lei Han, Zhi-Quan Luo

Comments Proceedings of the $\mathit{41}^{st}$ International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024. Copyright 2024 by the author(s). Invited talk in Informs Optimization Conference 2024 and International Symposium on Mathematical Programming 2024

An Empirical Study Into What Matters for Calibrating Vision-Language Models

Weijie Tu, Weijian Deng, Dylan Campbell, Stephen Gould, Tom Gedeon

Comments ICML 2024 Camera Ready

Open-Vocabulary Calibration for Fine-tuned CLIP

Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei

Comments Accepted by ICML 2024

DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design

Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht

Comments To appear in ICML 2024. A preliminary version of this work (arXiv:2310.03494) was presented at the ALOE workshop, NeurIPS 2023. arXiv admin note: text overlap with arXiv:2310.03494

Future Directions in the Theory of Graph Machine Learning

Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, İsmail İlkan Ceylan, Ron Levie, Derek Lim, Michael Bronstein, Martin Grohe, Stefanie Jegelka

Comments ICML 2024

Adaptive Robust Learning using Latent Bernoulli Variables

Aleksandr Karakulev, Dave Zachariah, Prashant Singh

Comments Accepted at ICML 2024