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International Conference on Machine Learning · 会议 · Machine Learning

共收录 11797
2308.12919 2024-07-19 cs.CV cs.LG

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization

Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan

Comments ICML 2024 Highlight

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2303.11525 2024-07-19 cs.LG cs.CL cs.CV

Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency

Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta, Sean Lie

Comments 14 pages, 5 figures, 6 Tables (Main Paper) + 8 pages (Supplementary Material). Published at ICML 2024

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2407.12993 2024-07-19 cs.LG stat.ML

Improving SAM Requires Rethinking its Optimization Formulation

Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher

Comments International Conference on Machine Learning (ICML), 2024

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2407.12824 2024-07-19 cs.CL cs.AI

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models

Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez

Comments ICML 2024, 8 pages + appendix

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2407.12505 2024-07-18 cs.LG cs.AI cs.RO

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments

Runfa Chen, Ling Wang, Yu Du, Tianrui Xue, Fuchun Sun, Jianwei Zhang, Wenbing Huang

Comments ICML 2024

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2407.12396 2024-07-18 cs.LG

Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems

Roie Reshef, Kfir Y. Levy

Comments To be published in ICML 2024

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2407.12332 2024-07-18 cs.LG stat.ML

Why Do You Grok? A Theoretical Analysis of Grokking Modular Addition

Mohamad Amin Mohamadi, Zhiyuan Li, Lei Wu, Danica J. Sutherland

Comments Accepted by ICML 2024

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2407.12275 2024-07-18 cs.LG cs.NE

When can transformers compositionally generalize in-context?

Seijin Kobayashi, Simon Schug, Yassir Akram, Florian Redhardt, Johannes von Oswald, Razvan Pascanu, Guillaume Lajoie, João Sacramento

Comments ICML 2024 workshop on Next Generation of Sequence Modeling Architectures

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2407.12161 2024-07-18 cs.AI

Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent

Karolis Jucys, George Adamopoulos, Mehrab Hamidi, Stephanie Milani, Mohammad Reza Samsami, Artem Zholus, Sonia Joseph, Blake Richards, Irina Rish, Özgür Şimşek

Comments Mechanistic Interpretability Workshop at ICML 2024

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2407.12053 2024-07-18 cs.LG cs.AI q-bio.QM

Improving AlphaFlow for Efficient Protein Ensembles Generation

Shaoning Li, Mingyu Li, Yusong Wang, Xinheng He, Nanning Zheng, Jian Zhang, Pheng-Ann Heng

Comments Accepted by ICML 2024 AI4Science workshop

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2407.09370 2024-07-18 cs.LG

Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding

Chuanhao Sun, Zhihang Yuan, Kai Xu, Luo Mai, N. Siddharth, Shuo Chen, Mahesh K. Marina

Comments 16 pages, Conference, Accepted by ICML 2024

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2404.02254 2024-07-18 stat.ML cs.AI cs.LG

On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning

Ari Karchmer

Comments Appeared in ICML 2024. Camera-ready version

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2402.16844 2024-07-18 cs.LG cs.AI cs.CL

Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding

Benjamin Bergner, Andrii Skliar, Amelie Royer, Tijmen Blankevoort, Yuki Asano, Babak Ehteshami Bejnordi

Comments Work presented at the ES-FoMo II Workshop at ICML 2024

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2402.08018 2024-07-18 cs.LG cs.CV stat.ML

Nearest Neighbour Score Estimators for Diffusion Generative Models

Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Ścibior, Berend Zwartsenberg, Frank Wood

Comments 25 pages, 9 figures. To be published in ICML 2024

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2402.02868 2024-07-18 cs.LG

Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem

Maciej Wołczyk, Bartłomiej Cupiał, Mateusz Ostaszewski, Michał Bortkiewicz, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś

Comments ICML 2024 Spotlight

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2312.17173 2024-07-18 stat.ML cs.LG

Non-Vacuous Generalization Bounds for Large Language Models

Sanae Lotfi, Marc Finzi, Yilun Kuang, Tim G. J. Rudner, Micah Goldblum, Andrew Gordon Wilson

Comments ICML 2024

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2311.14649 2024-07-18 cs.LG stat.ML

Learning in Deep Factor Graphs with Gaussian Belief Propagation

Seth Nabarro, Mark van der Wilk, Andrew J Davison

Comments Accepted at ICML 2024

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2310.10611 2024-07-18 cs.LG stat.ML

IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation

Taejong Joo, Diego Klabjan

Comments ICML 2024

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2306.01276 2024-07-18 cs.LG

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization

Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

Comments International Conference on Machine Learning

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2212.06470 2024-07-18 cs.LG cs.CR stat.ML

Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining

Florian Tramèr, Gautam Kamath, Nicholas Carlini

Comments Full and unabridged version of paper ICML 2024

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2407.11942 2024-07-17 q-bio.BM cs.LG stat.ML

Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design

Leo Klarner, Tim G. J. Rudner, Garrett M. Morris, Charlotte M. Deane, Yee Whye Teh

Comments Published in the Proceedings of the 41st International Conference on Machine Learning (ICML 2024)

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2407.11789 2024-07-17 cs.CL cs.AI cs.CY

Large Language Models as Misleading Assistants in Conversation

Betty Li Hou, Kejian Shi, Jason Phang, James Aung, Steven Adler, Rosie Campbell

Comments Next Generation of AI Safety Workshop, 41st International Conference on Machine Learning (ICML 2024)

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2407.11778 2024-07-17 cs.LG

Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions

Harrie Oosterhuis, Lijun Lyu, Avishek Anand

Comments Published at ICML 2024

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2407.11756 2024-07-17 cs.LG

A Theoretical Formulation of Many-body Message Passing Neural Networks

Jiatong Han

Comments Accepted as a paper at ICML GRaM Workshop, 2024

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2407.11536 2024-07-17 cs.CL cs.AI

Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise

Qimin Yang, Rongsheng Wang, Jiexin Chen, Runqi Su, Tao Tan

Comments 5 pages, 1 figure. Accepted by the Workshop on Long-Context Foundation Models (LCFM) at ICML 2024

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2407.05872 2024-07-17 cs.LG

Scaling Exponents Across Parameterizations and Optimizers

Katie Everett, Lechao Xiao, Mitchell Wortsman, Alexander A. Alemi, Roman Novak, Peter J. Liu, Izzeddin Gur, Jascha Sohl-Dickstein, Leslie Pack Kaelbling, Jaehoon Lee, Jeffrey Pennington

Comments 63 pages, International Conference on Machine Learning 2024

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2407.02499 2024-07-17 cs.PL cs.AI

Amortizing Pragmatic Program Synthesis with Rankings

Yewen Pu, Saujas Vaduguru, Priyan Vaithilingam, Elena Glassman, Daniel Fried

Comments icml 2024. This work supersedes and serves as a new version of arXiv:2309.03225

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2405.17260 2024-07-17 cs.LG cs.CV physics.flu-dyn

Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates

Yoeri Poels, Koen Minartz, Harshit Bansal, Vlado Menkovski

Comments Accepted at ICML 2024 AI for Science workshop

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2310.11989 2024-07-17 cs.LG

Image Clustering with External Guidance

Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng

Journal ref ICML 2024 (Oral)

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2306.03928 2024-07-17 cs.LG cs.CY cs.HC stat.ME stat.ML

Designing Decision Support Systems Using Counterfactual Prediction Sets

Eleni Straitouri, Manuel Gomez Rodriguez

Comments Best paper award in the ICML 2023 AI&HCI Workshop, spotlight paper at ICML 2024

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