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International Conference on Machine Learning · 会议 · Machine Learning

共收录 11804
2406.07253 2024-06-12 cs.LG

Hybrid Reinforcement Learning from Offline Observation Alone

Yuda Song, J. Andrew Bagnell, Aarti Singh

Comments 34 pages, 7 figures, published at ICML 2024

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2406.07248 2024-06-12 math.OC cs.SY eess.SY

Infinite-Horizon Distributionally Robust Regret-Optimal Control

Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi

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

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2406.07236 2024-06-12 cs.LG

Let Go of Your Labels with Unsupervised Transfer

Artyom Gadetsky, Yulun Jiang, Maria Brbic

Comments ICML 2024 camera-ready

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2406.07083 2024-06-12 cs.LG stat.ML

Efficient Mixture Learning in Black-Box Variational Inference

Alexandra Hotti, Oskar Kviman, Ricky Molén, Víctor Elvira, Jens Lagergren

Comments In Proceedings of the 41 st International Conference on Machine Learning (ICML), Vienna, Austria

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2406.06987 2024-06-12 cs.CY

Position Paper: Technical Research and Talent is Needed for Effective AI Governance

Anka Reuel, Lisa Soder, Ben Bucknall, Trond Arne Undheim

Comments 9 pages, 3 figures, Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024

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2406.06968 2024-06-12 cs.LG cs.AI

Beyond the Norms: Detecting Prediction Errors in Regression Models

Andres Altieri, Marco Romanelli, Georg Pichler, Florence Alberge, Pablo Piantanida

Comments To appear as spotlight at ICML 2024. 36 pages, 4 figures

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2406.06962 2024-06-12 cs.CL cs.AI

Evolving Subnetwork Training for Large Language Models

Hanqi Li, Lu Chen, Da Ma, Zijian Wu, Su Zhu, Kai Yu

Comments Accepted to ICML 2024

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2406.06823 2024-06-12 cs.LG cs.AI cs.MA math.OC

Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies

Alex DeWeese, Guannan Qu

Comments Accepted to International Conference on Machine Learning 2024

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2406.06808 2024-06-12 cs.DS cs.LG

Fast White-Box Adversarial Streaming Without a Random Oracle

Ying Feng, Aayush Jain, David P. Woodruff

Comments ICML 2024

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2406.06700 2024-06-12 cs.LG cs.AI

Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics

Ankit Vani, Frederick Tung, Gabriel L. Oliveira, Hossein Sharifi-Noghabi

Comments Published as a conference paper at ICML 2024. 9 pages main, 15 pages total including references and appendix

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2406.06593 2024-06-12 cs.LG cs.AI cs.AR

Differentiable Combinatorial Scheduling at Scale

Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, Cunxi Yu

Comments 13 pages; International Conference on Machine Learning (ICML'24)

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2406.00426 2024-06-12 cs.LG

InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation

Jacob Si, Wendy Yusi Cheng, Michael Cooper, Rahul G. Krishnan

Comments ICML 2024 Spotlight

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2405.06708 2024-06-12 q-bio.GN cs.AI cs.CL

LangCell: Language-Cell Pre-training for Cell Identity Understanding

Suyuan Zhao, Jiahuan Zhang, Yushuai Wu, Yizhen Luo, Zaiqing Nie

Comments Accpeted by ICML 2024, code released

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2405.03103 2024-06-12 cs.LG cs.CV

Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs

Jordan Dotzel, Yuzong Chen, Bahaa Kotb, Sushma Prasad, Gang Wu, Sheng Li, Mohamed S. Abdelfattah, Zhiru Zhang

Comments Accepted to ICML 2024

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2403.10543 2024-06-12 cs.SI cs.LG

Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs

MoonJeong Park, Jaeseung Heo, Dongwoo Kim

Comments Accepted by ICML 2024

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2402.04788 2024-06-12 cs.CL cs.AI cs.CV

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark

Dongping Chen, Ruoxi Chen, Shilin Zhang, Yinuo Liu, Yaochen Wang, Huichi Zhou, Qihui Zhang, Yao Wan, Pan Zhou, Lichao Sun

Comments ICML 2024 (Oral)

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2402.01915 2024-06-12 cs.CV stat.CO

Robust Inverse Graphics via Probabilistic Inference

Tuan Anh Le, Pavel Sountsov, Matthew D. Hoffman, Ben Lee, Brian Patton, Rif A. Saurous

Comments ICML submission. Reworked main body, new appendix figures

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2312.07540 2024-06-12 cs.AI cs.CL cs.LG

diff History for Neural Language Agents

Ulyana Piterbarg, Lerrel Pinto, Rob Fergus

Comments ICML 2024 version

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2311.08718 2024-06-12 cs.CL

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling

Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang

Comments ICML 2024, 19 pages, 4 figures

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2311.03534 2024-06-12 cs.LG cs.AI cs.RO

PcLast: Discovering Plannable Continuous Latent States

Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan Molu, Miro Dudik, John Langford, Alex Lamb

Comments Accepted at ICML 2024

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2307.09988 2024-06-12 cs.LG cs.CV

TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge

Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas D. Lane, Cecilia Mascolo

Comments Accepted by ICML 2024

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2307.07107 2024-06-12 cs.LG

Graph Positional and Structural Encoder

Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampášek

Comments Accepted at ICML 2024; 34 pages, 6 figures

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2305.17387 2024-06-12 cs.LG cs.AI cs.NA math.NA

Learning from Integral Losses in Physics Informed Neural Networks

Ehsan Saleh, Saba Ghaffari, Timothy Bretl, Luke Olson, Matthew West

Comments Accepted in the main track of ICML 2024

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2406.06354 2024-06-11 cs.LG

On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions

Denys Pushkin, Raphaël Berthier, Emmanuel Abbe

Comments 9 pages of main body, 24 pages in total. 7 figures Proceedings of the 41-st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024

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2406.04706 2024-06-11 cs.LG cs.NE eess.SP math.PR stat.ML

Winner-takes-all learners are geometry-aware conditional density estimators

Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gael Richard, Patrick Pérez

Comments International Conference on Machine Learning, Jul 2024, Vienne (Autriche), Austria

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2403.06966 2024-06-11 cs.LG cs.RO

Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts

Onur Celik, Aleksandar Taranovic, Gerhard Neumann

Comments International conference on machine learning (ICML)

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2403.00425 2024-06-11 cs.CV cs.AI cs.LG

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Zhaorun Chen, Zhuokai Zhao, Hongyin Luo, Huaxiu Yao, Bo Li, Jiawei Zhou

Comments ICML camera-ready version. Code is released at https://github.com/BillChan226/HALC

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2402.07087 2024-06-11 cs.LG cs.AI cs.CV stat.ML

Self-Correcting Self-Consuming Loops for Generative Model Training

Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, Chen Sun

Comments Camera ready version (ICML 2024). Code at https://nategillman.com/sc-sc.html

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2306.05862 2024-06-11 stat.ML cs.IT cs.LG math.IT

Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!

Milad Sefidgaran, Romain Chor, Abdellatif Zaidi, Yijun Wan

Comments Accepted at ICML 2024

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2406.06248 2024-06-11 cs.LG

Compute Better Spent: Replacing Dense Layers with Structured Matrices

Shikai Qiu, Andres Potapczynski, Marc Finzi, Micah Goldblum, Andrew Gordon Wilson

Comments ICML 24. Code available at https://github.com/shikaiqiu/compute-better-spent

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