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International Conference on Machine Learning · 会议 · Machine Learning

共收录 11804
2405.16056 2024-06-03 cs.LG

FedSheafHN: Personalized Federated Learning on Graph-structured Data

Wenfei Liang, Yanan Zhao, Rui She, Yiming Li, Wee Peng Tay

Comments This paper was submitted to ICML 2024 in Feb 2024. You can find a record here:https://github.com/CarrieWFF/ICML-2024-submission-recording/blob/main/Screenshot%20of%20FedSheafHN%20submission%20to%20ICML%202024.png

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2405.02795 2024-06-03 cs.LG

Graph as Point Set

Xiyuan Wang, Pan Li, Muhan Zhang

Comments accepted in ICML 2024

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2402.07043 2024-06-03 cs.LG cs.AI cs.CL

A Tale of Tails: Model Collapse as a Change of Scaling Laws

Elvis Dohmatob, Yunzhen Feng, Pu Yang, Francois Charton, Julia Kempe

Journal ref ICML 2024

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2402.05841 2024-06-03 q-bio.BM cs.LG

Dirichlet Flow Matching with Applications to DNA Sequence Design

Hannes Stark, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi Jaakkola

Comments Published at ICML 2024. (Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024)

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2402.03962 2024-06-03 cs.AI cs.CL

Position: Stop Making Unscientific AGI Performance Claims

Patrick Altmeyer, Andrew M. Demetriou, Antony Bartlett, Cynthia C. S. Liem

Comments 21 pages, 15 figures. Pre-print to be published at International Conference on Machine Learning (ICML) 2024

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2311.11745 2024-06-03 cs.SD cs.CL eess.AS

ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis

Jungil Kong, Junmo Lee, Jeongmin Kim, Beomjeong Kim, Jihoon Park, Dohee Kong, Changheon Lee, Sangjin Kim

Comments ICML 2024

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2310.18953 2024-06-03 cs.LG cs.CV eess.IV

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

Megh Shukla, Mathieu Salzmann, Alexandre Alahi

Comments ICML 2024. Please feel free to provide feedback!

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2310.05764 2024-06-03 cs.LG cs.AI

Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design

Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi Jaakkola

Comments Published at ICML 2024. (Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024)

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2308.14906 2024-06-03 cs.LG stat.ML

BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition

Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun

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

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2308.01399 2024-06-03 cs.CL cs.AI cs.LG

Learning to Model the World with Language

Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca Dragan

Comments ICML 2024. Website: https://dynalang.github.io/

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2405.17477 2024-05-31 cs.LG cs.AI

OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning

Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang

Comments International Conference on Machine Learning (ICML)

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2405.17476 2024-05-31 cs.LG cs.AI

How to Leverage Diverse Demonstrations in Offline Imitation Learning

Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang

Comments International Conference on Machine Learning (ICML)

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2405.16646 2024-05-31 cs.LG

A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher Carothers

Journal ref The 41st International Conference on Machine Learning, ICML 2024

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2310.13230 2024-05-31 cs.LG cs.AI cs.RO

Absolute Policy Optimization

Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu

Comments published in ICML 2024

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2405.19998 2024-05-31 cs.MA

LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning

Hyungho Na, Il-chul Moon

Comments Accepted at ICML 2024

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2405.19977 2024-05-31 cs.DS cs.LG stat.ML

Consistent Submodular Maximization

Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam

Comments To appear at ICML 24

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2405.19765 2024-05-31 cs.CV cs.AI

Towards Unified Multi-granularity Text Detection with Interactive Attention

Xingyu Wan, Chengquan Zhang, Pengyuan Lyu, Sen Fan, Zihan Ni, Kun Yao, Errui Ding, Jingdong Wang

Comments ICML 2024

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2405.19654 2024-05-31 cs.AI

Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training

Jinxia Yang, Bing Su, Wayne Xin Zhao, Ji-Rong Wen

Comments Accepted at ICML 2024

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2405.19586 2024-05-31 cs.CV cs.LG cs.RO

SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation

Junjie Zhang, Chenjia Bai, Haoran He, Wenke Xia, Zhigang Wang, Bin Zhao, Xiu Li, Xuelong Li

Comments ICML 2024. Project page: https://sam-embodied.github.io

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2405.19532 2024-05-31 cs.LG

Contrasting Multiple Representations with the Multi-Marginal Matching Gap

Zoe Piran, Michal Klein, James Thornton, Marco Cuturi

Comments To be presented at ICML 2024

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2405.17358 2024-05-31 cs.LG cs.AI

Rethinking Transformers in Solving POMDPs

Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon S. Du, Huazhe Xu

Comments Accepted by ICML 2024; references added; typos fixed

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2405.06263 2024-05-31 cs.LG cs.AI

Learning Latent Dynamic Robust Representations for World Models

Ruixiang Sun, Hongyu Zang, Xin Li, Riashat Islam

Journal ref ICML 2024

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2405.02235 2024-05-31 cs.LG

Learning Optimal Deterministic Policies with Stochastic Policy Gradients

Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli, Matteo Papini

Comments Accepted to ICML 2024

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2403.05955 2024-05-31 eess.IV cs.CV

IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics

Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy Vatolin

Comments Accepted to ICML 2024

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2402.07865 2024-05-31 cs.CV cs.AI cs.CL cs.LG

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, Dorsa Sadigh

Comments Published at ICML 2024. 22 pages, 11 figures. Training code and models: https://github.com/TRI-ML/prismatic-vlms. Evaluation code: https://github.com/TRI-ML/vlm-evaluation

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2402.01567 2024-05-31 cs.LG math.OC

Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise

Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook, Yan Dai

Comments Accepted at ICML 2024

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2401.14535 2024-05-31 cs.LG cs.CV stat.ME

CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process

Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang

Comments To appear at ICML 2024, 24 pages

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2312.08511 2024-05-31 cs.CY cs.LG econ.TH stat.ML

The Relative Value of Prediction in Algorithmic Decision Making

Juan Carlos Perdomo

Comments accepted to ICML 2024, non-archival track at FORC 2024

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2310.17455 2024-05-31 cs.CV

OTMatch: Improving Semi-Supervised Learning with Optimal Transport

Zhiquan Tan, Kaipeng Zheng, Weiran Huang

Comments Accepted at ICML 2024

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2310.00841 2024-05-31 cs.LG

Drug Discovery with Dynamic Goal-aware Fragments

Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang

Comments ICML 2024

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