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International Conference on Machine Learning · 会议 · Machine Learning

共收录 11816
2405.04883 2024-05-13 cs.CV cs.AI cs.LG

FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion

Zehan Wang, Ziang Zhang, Xize Cheng, Rongjie Huang, Luping Liu, Zhenhui Ye, Haifeng Huang, Yang Zhao, Tao Jin, Peng Gao, Zhou Zhao

Comments Accepted by ICML 2024. The code and checkpoints will be released at https://github.com/zehanwang01/FreeBind

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2402.03019 2024-05-13 cs.CV cs.LG

Taylor Videos for Action Recognition

Lei Wang, Xiuyuan Yuan, Tom Gedeon, Liang Zheng

Comments Published at the International Conference on Machine Learning (ICML 2024)

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2405.05713 2024-05-10 math.OC

Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity

Chang He, Zhaoye Pan, Xiao Wang, Bo Jiang

Comments Accepted by ICML 2024

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2405.05525 2024-05-10 cs.CR cs.LG

Ditto: Quantization-aware Secure Inference of Transformers upon MPC

Haoqi Wu, Wenjing Fang, Yancheng Zheng, Junming Ma, Jin Tan, Yinggui Wang, Lei Wang

Comments to be published in ICML 2024

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2405.05468 2024-05-10 cs.LG stat.ML

Model-Free Robust $ϕ$-Divergence Reinforcement Learning Using Both Offline and Online Data

Kishan Panaganti, Adam Wierman, Eric Mazumdar

Comments To appear in the proceedings of the International Conference on Machine Learning (ICML) 2024

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2405.04405 2024-05-10 cs.LG

Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation

Pei Liu, Luping Ji

Comments ICML 2024

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2405.03547 2024-05-10 cs.LG cs.AI cs.NE

Position: Leverage Foundational Models for Black-Box Optimization

Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen

Comments International Conference on Machine Learning (ICML) 2024

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2405.03082 2024-05-10 cs.LG

Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Tianchen Zhou, FNU Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao

Comments Accepted in ICML 2024

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2405.03073 2024-05-10 math.OC stat.ML

Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms

Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu

Comments 23 pages, 5 figures. ICML 2024. Appendix revised

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2404.18909 2024-05-10 cs.LG cs.MA stat.ML

Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty

Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman

Comments Accepted by International Conference on Machine Learning, 2024

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2401.15889 2024-05-10 stat.ML cs.AI cs.CV cs.LG

Sliced Wasserstein with Random-Path Projecting Directions

Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho

Comments Accepted to ICML 2024, 21 pages, 5 figures, 2 tables

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2311.12871 2024-05-10 cs.CV cs.AI cs.CL cs.LG

An Embodied Generalist Agent in 3D World

Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, Yan Wang, Qing Li, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang

Comments ICML 2024. The first four authors contribute equally. Project page: https://embodied-generalist.github.io

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2405.04950 2024-05-09 cs.CV cs.AI cs.CL

VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context

Yunxin Li, Baotian Hu, Haoyuan Shi, Wei Wang, Longyue Wang, Min Zhang

Comments 17 pages; Accepted by ICML 2024

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2405.01008 2024-05-09 cs.CV

On Mechanistic Knowledge Localization in Text-to-Image Generative Models

Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan Rossi, Cherry Zhao, Vlad Morariu, Varun Manjunatha, Soheil Feizi

Comments Appearing in ICML 2024

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2303.10665 2024-05-09 cs.LG cs.MA math.OC

Major-Minor Mean Field Multi-Agent Reinforcement Learning

Kai Cui, Christian Fabian, Anam Tahir, Heinz Koeppl

Comments Accepted to ICML 2024

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2405.04513 2024-05-08 cs.CL cs.AI cs.LG

Switchable Decision: Dynamic Neural Generation Networks

Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou

Comments Accepted to ICML 2024

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2405.04122 2024-05-08 cs.LG cs.DC

Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning

Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu

Comments Accepted by ICML 2024

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2405.04078 2024-05-08 cs.LG cs.AI q-bio.QM

WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer

Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh AP, Vaibhav Rajan

Comments ICML 2024

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2405.04034 2024-05-08 cs.LG cs.CR cs.CY

Differentially Private Post-Processing for Fair Regression

Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han Zhao

Comments ICML 2024. Code is at https://github.com/rxian/fair-regression

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2405.03962 2024-05-08 cs.LG physics.chem-ph

AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion

Adeesh Kolluru, John R Kitchin

Comments 8 pages, 7 figures, ICML 2024

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2405.03875 2024-05-08 cs.LG stat.ML

Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits

Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia

Comments ICML 2024

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2306.01470 2024-05-08 cs.LG stat.ML

Understanding MLP-Mixer as a Wide and Sparse MLP

Tomohiro Hayase, Ryo Karakida

Comments Accepted in ICML 2024

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2405.03637 2024-05-07 cs.LG

Collage: Light-Weight Low-Precision Strategy for LLM Training

Tao Yu, Gaurav Gupta, Karthick Gopalswamy, Amith Mamidala, Hao Zhou, Jeffrey Huynh, Youngsuk Park, Ron Diamant, Anoop Deoras, Luke Huan

Comments ICML 2024

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2405.03574 2024-05-07 cs.LG

ILILT: Implicit Learning of Inverse Lithography Technologies

Haoyu Yang, Haoxing Ren

Comments 12 pages, 10 figures, accepted by International Conference on Machine Learning (ICML24)

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2405.03198 2024-05-07 stat.ML cs.LG math.OC

Stability Evaluation via Distributional Perturbation Analysis

Jose Blanchet, Peng Cui, Jiajin Li, Jiashuo Liu

Comments Accepted by ICML 2024

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2405.03188 2024-05-07 cs.LG

Hyperbolic Geometric Latent Diffusion Model for Graph Generation

Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li

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

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2405.01719 2024-05-07 cs.LG

Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks

Guanhua Zhang, Moritz Hardt

Comments To be published in ICML 2024

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2405.01460 2024-05-07 cs.CR cs.AI cs.CV cs.LG

Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders

Yi Yu, Yufei Wang, Song Xia, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

Comments Accepted by ICML 2024

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2405.01196 2024-05-07 cs.LG stat.ML

Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks

Mikkel Jordahn, Pablo M. Olmos

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

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2405.01029 2024-05-07 cs.AI cs.LG

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu

Comments Accepted at ICML 2024

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