Machine Learning

Authors and titles for recent submissions

• Thu, 24 Jul 2025
• Wed, 23 Jul 2025
• Tue, 22 Jul 2025
• Mon, 21 Jul 2025
• Fri, 18 Jul 2025

See today's new changes

Thu, 24 Jul 2025 (showing first 50 of 129 entries )

[1] arXiv:2507.17748 [pdf, html, other]

Title: Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility

Melih Barsbey, Lucas Prieto, Stefanos Zafeiriou, Tolga Birdal

Comments: Accepted at ICCV 2025, 23 pages

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[2] arXiv:2507.17746 [pdf, html, other]

Title: Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Anisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Bing Liu, Sean Hendryx

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)

[3] arXiv:2507.17731 [pdf, html, other]

Title: Flow Matching Meets Biology and Life Science: A Survey

Zihao Li, Zhichen Zeng, Xiao Lin, Feihao Fang, Yanru Qu, Zhe Xu, Zhining Liu, Xuying Ning, Tianxin Wei, Ge Liu, Hanghang Tong, Jingrui He

Comments: Preprint, 27 pages

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[4] arXiv:2507.17725 [pdf, other]

Title: On the Interaction of Compressibility and Adversarial Robustness

Melih Barsbey, Antônio H. Ribeiro, Umut Şimşekli, Tolga Birdal

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[5] arXiv:2507.17706 [pdf, html, other]

Title: HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging

Taha Ceritli, Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli

Subjects: Machine Learning (cs.LG)

[6] arXiv:2507.17692 [pdf, html, other]

Title: Joint Asymmetric Loss for Learning with Noisy Labels

Jialiang Wang, Xianming Liu, Xiong Zhou, Gangfeng Hu, Deming Zhai, Junjun Jiang, Xiangyang Ji

Comments: Accepted by ICCV 2025

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[7] arXiv:2507.17687 [pdf, html, other]

Title: Towards Effective Open-set Graph Class-incremental Learning

Jiazhen Chen, Zheng Ma, Sichao Fu, Mingbin Feng, Tony S. Wirjanto, Weihua Ou

Comments: Accepted by 33rd ACM International Conference on Multimedia (MM 2025)

Subjects: Machine Learning (cs.LG)

[8] arXiv:2507.17684 [pdf, html, other]

Title: Generalized Dual Discriminator GANs

Penukonda Naga Chandana, Tejas Srivastava, Gowtham R. Kurri, V. Lalitha

Comments: 8 pages, 2 figures, extended version of a paper accepted for presentation at ITW 2025

Subjects: Machine Learning (cs.LG); Information Theory (cs.IT); Machine Learning (stat.ML)

[9] arXiv:2507.17668 [pdf, html, other]

Title: How Should We Meta-Learn Reinforcement Learning Algorithms?

Alexander David Goldie, Zilin Wang, Jakob Nicolaus Foerster, Shimon Whiteson

Comments: Accepted paper at Reinforcement Learning Conference (RLC) 2025

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[10] arXiv:2507.17650 [pdf, html, other]

Title: XStacking: Explanation-Guided Stacked Ensemble Learning

Moncef Garouani, Ayah Barhrhouj, Olivier Teste

Journal-ref: Nectar track of ECML-PKDD 2025

Subjects: Machine Learning (cs.LG)

[11] arXiv:2507.17580 [pdf, html, other]

Title: Enhancing Quantum Federated Learning with Fisher Information-Based Optimization

Amandeep Singh Bhatia, Sabre Kais

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Emerging Technologies (cs.ET); Quantum Physics (quant-ph)

[12] arXiv:2507.17534 [pdf, html, other]

Title: Federated Majorize-Minimization: Beyond Parameter Aggregation

Aymeric Dieuleveut, Gersende Fort, Mahmoud Hegazy, Hoi-To Wai

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Optimization and Control (math.OC); Machine Learning (stat.ML)

[13] arXiv:2507.17530 [pdf, html, other]

Title: Generalized Advantage Estimation for Distributional Policy Gradients

Shahil Shaik, Jonathon M. Smereka, Yue Wang

Comments: 6 pages, 3 figures, published at ACC 2025 Conference

Subjects: Machine Learning (cs.LG); Robotics (cs.RO)

[14] arXiv:2507.17528 [pdf, html, other]

Title: Generalized Low-Rank Matrix Contextual Bandits with Graph Information

Yao Wang, Jiannan Li, Yue Kang, Shanxing Gao, Zhenxin Xiao

Subjects: Machine Learning (cs.LG)

[15] arXiv:2507.17513 [pdf, html, other]

Title: HOTA: Hamiltonian framework for Optimal Transport Advection

Nazar Buzun, Daniil Shlenskii, Maxim Bobrin, Dmitry V. Dylov

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[16] arXiv:2507.17501 [pdf, html, other]

Title: DNT: a Deeply Normalized Transformer that can be trained by Momentum SGD

Xianbiao Qi, Marco Chen, Wenjie Xiao, Jiaquan Ye, Yelin He, Chun-Guang Li, Zhouchen Lin

Comments: We have introduced a novel architecture, Deeply Normalized Transformer (DNT), which enables efficient training with vanilla momentum SGDW (mSGDW), achieving performance on par with AdamW-optimized Transformers

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)

[17] arXiv:2507.17472 [pdf, html, other]

Title: BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles

Junhua Liu, Roy Ka-Wei Lee, Kwan Hui Lim

Comments: Accepted at ASONAM 2025

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR)

[18] arXiv:2507.17454 [pdf, html, other]

Title: C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning

Shusen Ma, Yun-Bo Zhao, Yu Kang

Subjects: Machine Learning (cs.LG)

[19] arXiv:2507.17453 [pdf, html, other]

Title: Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees

Guanqin Zhang, Kota Fukuda, Zhenya Zhang, H.M.N. Dilum Bandara, Shiping Chen, Jianjun Zhao, Yulei Sui

Comments: This is an extended version of the ECOOP 2025 paper, with a comparison with DATE 2025 (Figure 7 of RQ1 in Section 5.2), as well as an in-depth discussion of OOPSLA 2025 in the related work (Section 6)

Subjects: Machine Learning (cs.LG); Programming Languages (cs.PL); Software Engineering (cs.SE)

[20] arXiv:2507.17450 [pdf, html, other]

Title: Persistent Patterns in Eye Movements: A Topological Approach to Emotion Recognition

Arsha Niksa, Hooman Zare, Ali Shahrabi, Hanieh Hatami, Mohammadreza Razvan

Subjects: Machine Learning (cs.LG)

[21] arXiv:2507.17417 [pdf, html, other]

Title: A Comprehensive Evaluation on Quantization Techniques for Large Language Models

Yutong Liu, Cairong Zhao, Guosheng Hu

Subjects: Machine Learning (cs.LG)

[22] arXiv:2507.17382 [pdf, html, other]

Title: Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective

Hao Dai, Jagmohan Chauhan

Comments: 20 pages, 6 figures. Forty-second International Conference on Machine Learning. 2025

Subjects: Machine Learning (cs.LG)

[23] arXiv:2507.17368 [pdf, html, other]

Title: ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning

Hao Dai, Chong Tang, Jagmohan Chauhan

Comments: 6 pages, 2 figures

Subjects: Machine Learning (cs.LG)

[24] arXiv:2507.17365 [pdf, html, other]

Title: DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning

Chuzhan Hao, Wenfeng Feng, Yuewei Zhang, Hao Wang

Comments: 10 pages, 2 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[25] arXiv:2507.17348 [pdf, html, other]

Title: TOC-UCO: a comprehensive repository of tabular ordinal classification datasets

Rafael Ayllón-Gavilán, David Guijo-Rubio, Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Francisco Bérchez-Moreno, Víctor Manuel Vargas-Yun, Pedro A. Gutiérrez

Comments: 25 single column pages, 5 figures, 7 tables

Subjects: Machine Learning (cs.LG)

[26] arXiv:2507.17346 [pdf, html, other]

Title: DeCo-SGD: Joint Optimization of Delay Staleness and Gradient Compression Ratio for Distributed SGD

Rongwei Lu, Jingyan Jiang, Chunyang Li, Haotian Dong, Xingguang Wei, Delin Cai, Zhi Wang

Subjects: Machine Learning (cs.LG)

[27] arXiv:2507.17328 [pdf, html, other]

Title: A Learning-based Domain Decomposition Method

Rui Wu, Nikola Kovachki, Burigede Liu

Subjects: Machine Learning (cs.LG); Mathematical Physics (math-ph)

[28] arXiv:2507.17311 [pdf, html, other]

Title: EarthLink: Interpreting Climate Signals with Self-Evolving AI Agents

Zijie Guo, Jiong Wang, Xiaoyu Yue, Wangxu Wei, Zhe Jiang, Wanghan Xu, Ben Fei, Wenlong Zhang, Xinyu Gu, Lijing Cheng, Jing-Jia Luo, Chao Li, Yaqiang Wang, Tao Chen, Wanli Ouyang, Fenghua Ling, Lei Bai

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Atmospheric and Oceanic Physics (physics.ao-ph)

[29] arXiv:2507.17309 [pdf, html, other]

Title: Confounded Causal Imitation Learning with Instrumental Variables

Yan Zeng, Shenglan Nie, Feng Xie, Libo Huang, Peng Wu, Zhi Geng

Comments: 12 pages, 6 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[30] arXiv:2507.17307 [pdf, html, other]

Title: R-Stitch: Dynamic Trajectory Stitching for Efficient Reasoning

Zhuokun Chen, Zeren Chen, Jiahao He, Mingkui Tan, Jianfei Cai, Bohan Zhuang

Subjects: Machine Learning (cs.LG)

[31] arXiv:2507.17285 [pdf, html, other]

Title: Decentralized Federated Learning of Probabilistic Generative Classifiers

Aritz Pérez, Carlos Echegoyen, Guzmán Santafé

Subjects: Machine Learning (cs.LG)

[32] arXiv:2507.17273 [pdf, html, other]

Title: Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance

Rishi Parekh, Saisubramaniam Gopalakrishnan, Zishan Ahmad, Anirudh Deodhar

Comments: 12 pages, 2 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[33] arXiv:2507.17255 [pdf, html, other]

Title: Rethinking VAE: From Continuous to Discrete Representations Without Probabilistic Assumptions

Songxuan Shi

Subjects: Machine Learning (cs.LG)

[34] arXiv:2507.17245 [pdf, html, other]

Title: DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs

Haolin Jin, Mengbai Xiao, Yuan Yuan, Xiao Zhang, Dongxiao Yu, Guanghui Zhang, Haoliang Wang

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[35] arXiv:2507.17241 [pdf, html, other]

Title: Eco-Friendly AI: Unleashing Data Power for Green Federated Learning

Mattia Sabella, Monica Vitali

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Databases (cs.DB); Distributed, Parallel, and Cluster Computing (cs.DC)

[36] arXiv:2507.17228 [pdf, html, other]

Title: P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge Devices

Wei Fan, JinYi Yoon, Xiaochang Li, Huajie Shao, Bo Ji

Comments: Accepted as invited paper in The 34th International Conference on Computer Communications and Networks (ICCCN 2025)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC)

[37] arXiv:2507.17221 [pdf, html, other]

Title: Dataset Distillation as Data Compression: A Rate-Utility Perspective

Youneng Bao, Yiping Liu, Zhuo Chen, Yongsheng Liang, Mu Li, Kede Ma

Comments: Accepted by ICCV 2025

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[38] arXiv:2507.17204 [pdf, html, other]

Title: Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation

Zixuan Wang, Jinghao Shi, Hanzhong Liang, Xiang Shen, Vera Wen, Zhiqian Chen, Yifan Wu, Zhixin Zhang, Hongyu Xiong

Comments: Camera Ready for ACL 2025

Subjects: Machine Learning (cs.LG)

[39] arXiv:2507.17189 [pdf, html, other]

Title: Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems

Shaohan Li, Hao Yang, Min Chen, Xiaolin Qin

Subjects: Machine Learning (cs.LG)

[40] arXiv:2507.17161 [pdf, other]

Title: Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection

Vinura Galwaduge, Jagath Samarabandu

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[41] arXiv:2507.17151 [pdf, html, other]

Title: PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training

Anirudh Satheesh, Anant Khandelwal, Mucong Ding, Radu Balan

Comments: Submitted to TMLR 2025

Subjects: Machine Learning (cs.LG)

[42] arXiv:2507.17135 [pdf, html, other]

Title: SADA: Stability-guided Adaptive Diffusion Acceleration

Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li

Comments: Accepted and published by ICML 2025. Code is available at: this https URL

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)

[43] arXiv:2507.17131 [pdf, html, other]

Title: Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance

Yufei He, Ruoyu Li, Alex Chen, Yue Liu, Yulin Chen, Yuan Sui, Cheng Chen, Yi Zhu, Luca Luo, Frank Yang, Bryan Hooi

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[44] arXiv:2507.17125 [pdf, html, other]

Title: Model Compression Engine for Wearable Devices Skin Cancer Diagnosis

Jacob M. Delgado-López, Andrea P. Seda-Hernandez, Juan D. Guadalupe-Rosado, Luis E. Fernandez Ramirez, Miguel Giboyeaux-Camilo, Wilfredo E. Lugo-Beauchamp

Subjects: Machine Learning (cs.LG)

[45] arXiv:2507.17123 [pdf, html, other]

Title: Computer Vision for Real-Time Monkeypox Diagnosis on Embedded Systems

Jacob M. Delgado-López, Ricardo A. Morell-Rodriguez, Sebastián O. Espinosa-Del Rosario, Wilfredo E. Lugo-Beauchamp

Subjects: Machine Learning (cs.LG)

[46] arXiv:2507.17116 [pdf, other]

Title: Probabilistic Graphical Models: A Concise Tutorial

Jacqueline Maasch, Willie Neiswanger, Stefano Ermon, Volodymyr Kuleshov

Comments: Under review

Subjects: Machine Learning (cs.LG)

[47] arXiv:2507.17107 [pdf, html, other]

Title: Reinforcement Learning Fine-Tunes a Sparse Subnetwork in Large Language Models

Andrii Balashov

Comments: 16 pages, 6 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[48] arXiv:2507.17096 [pdf, html, other]

Title: ZORMS-LfD: Learning from Demonstrations with Zeroth-Order Random Matrix Search

Olivia Dry, Timothy L. Molloy, Wanxin Jin, Iman Shames

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Numerical Analysis (math.NA); Optimization and Control (math.OC)

[49] arXiv:2507.17071 [pdf, html, other]

Title: Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation

Juntao Lin, Xianghao Zhan

Comments: 9 pages

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Systems and Control (eess.SY); Instrumentation and Detectors (physics.ins-det)

[50] arXiv:2507.17070 [pdf, html, other]

Title: Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach

Adithya Mohan, Dominik Rößle, Daniel Cremers, Torsten Schön

Comments: 6 pages, 4 figures, 2 tables

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)