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期刊&会议

Transactions on Machine Learning Research · 期刊 · Machine Learning

2025-10-07 至 2025-10-07 共收录 6
2501.03715 2025-10-07 cs.AI cs.LG

Neural Deconstruction Search for Vehicle Routing Problems

André Hottung, Paula Wong-Chung, Kevin Tierney

机构 * Bielefeld University, Germany(弗赖堡大学) University of British Columbia, Canada(不列颠哥伦比亚大学)

Comments Published in TMLR

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2411.18142 2025-10-07 cs.CV

Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models

Jingming Liu, Yumeng Li, Boyuan Xiao, Yichang Jian, Ziang Qin, Tianjia Shao, Yao-Xiang Ding, Kun Zhou

机构 * State Key Laboratory of CAD&CG(计算机辅助设计与图形学国家重点实验室)

Comments Published in TMLR

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2505.20095 2025-10-07 cs.LG

Spurious Privacy Leakage in Neural Networks

Chenxiang Zhang, Jun Pang, Sjouke Mauw

机构 * University of Luxembourg(卢森堡大学)

Comments published in TMLR

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2505.12460 2025-10-07 cs.LG

A Case for Library-Level k-Means Binning in Histogram Gradient-Boosted Trees

Asher Labovich

机构 * Brown University(布朗大学)

Comments Published in Transactions on Machine Learning Research (TMLR), 2025. [Link to OpenReview forum: https://openreview.net/forum?id=UaTrLLspJa]

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2405.14386 2025-10-07 cs.CV

Capsule Network Projectors are Equivariant and Invariant Learners

Miles Everett, Aiden Durrant, Mingjun Zhong, Georgios Leontidis

机构 * Department of Computing Science University of Aberdeen, UK(计算机科学系阿伯丁大学)

Comments V4: accepted at TMLR; V3: Ignore V1 and V2 as we have fixed a bug; 18 pages, 5 figures, 10 Tables

Journal ref Transactions on Machine Learning Research (TMLR), October 2025 - https://openreview.net/pdf?id=7owCO3qskH

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2306.06081 2025-10-07 cs.CV cs.AI cs.CR cs.LG

Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness

Emanuele Ballarin, Alessio Ansuini, Luca Bortolussi

机构 * AIlab University of Trieste(AI实验室特伦蒂诺大学) Data Engineering Laboratory(数据工程实验室) AREA Science Park(AREA科学公园)

Comments Published in Transactions on Machine Learning Research (09/2025). 25 pages, 1 figure, 19 tables

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