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Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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32,641 to 32,672 of 32,672

  1. Pairwise Ranking Outperforms Single-Action RL for Offline Explanation Selection: A Practical Lesson

    Tanay Chowdhury, Saeideh Shahrokh Esfahani

    cs.AIcs.LGarXiv:2608.18531v12026

  2. FraudBench: Stress-Testing Policy-Grounded Banking Agents Against Adaptive Fraud

    Dheeraj Mohandas Pai, Lu Xian

    cs.AIcs.LGarXiv:2608.18136v12026

  3. MagViT: Interpretable Multi-Magnification Transformers with Patient-Level Model Selection for Breast Histopathology

    Nabil Ashab, Soumit Kumar Kundu, Saif Mahmud Parvez +3

    eess.IVcs.CVcs.LGarXiv:2608.16959v12026

  4. Agents unlock new capabilities through Switching LoRA Adapters as a Tool (SLAaaT)

    Kenneth Ge

    cs.LGarXiv:2608.17034v12026

  5. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

    Joao Carreira, Andrew Zisserman

    cs.CVcs.LGarXiv:1705.07750v32017

  6. Conditional Generative Adversarial Nets

    Mehdi Mirza, Simon Osindero

    cs.LGcs.AIcs.CVarXiv:1411.1784v12014

  7. Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

    Veronika Spieker, Wenqi Huang, Cemre Ariyurek +5

    eess.IVcs.CVcs.LGarXiv:2608.18055v22026

  8. Early Cycle Charge Trajectory Generative Prediction and Full Life Cycle Health Management of Iron-Chromium Flow Batteries Based on FlowBD-E1

    Suyang Zhuang, Zekun Jiang, Tianhang Zhou

    cs.LGstat.MEarXiv:2608.14637v12026

  9. Architecture-Dependent Causal Transfer of Activation States Across Large Language Models

    Fernando Cardenas Piepereit

    cs.CLcs.LGarXiv:2608.16347v12026

  10. Duration Aware Scheduling for ASR Serving Under Workload Drift

    Darshan Makwana, Yash Jogi, Harsh Kotta +1

    cs.LGarXiv:2603.11273v12026

  11. ARGUS: Attention-Guided Transformers for Scalable Person Identification Using Wi-Fi Telemetry

    Nayan Sanjay Bhatia, Pranay Kocheta, Yuhan Li +1

    cs.LGcs.AIcs.CVarXiv:2608.14670v12026

  12. Distinguishing AI-Generated Music from Edited Audio as a Hard-Negative Robustness Task

    Alexandru-Stefan Morosanu, Valerian Cecan, Stefan-Daniel Achirei +1

    cs.SDcs.AIcs.LGarXiv:2608.14916v12026

  13. 6G Native AI and Channel Foundation Models

    Shugong Xu, Jun Jiang, Yuan Gao

    eess.SPcs.ITcs.LGarXiv:2608.14591v12026

  14. MotoSafety: Edge-AI with Learned Temporal Importance for Two-Wheeler Collision Risk Assessment Under Time Pressure

    Sumit S. Shevtekar, Chandresh K. Maurya, Gourab Sil +1

    cs.LGcs.AIcs.HCarXiv:2608.17823v12026

  15. No Gaussian Required: Contrastive Inverse Dynamics for JEPA World Models

    Jack Boylan, Chris Hokamp

    cs.LGcs.AIarXiv:2608.17542v12026

  16. The Role of Feedback Alignment in Self-Distillation

    Semih Kara, Oğuzhan Ersoy

    cs.AIcs.LGarXiv:2606.11173v12026

  17. MARBLE: Multi-Aspect Reward Balance for Diffusion RL

    Canyu Zhao, Hao Chen, Yunze Tong +3

    cs.CVcs.LGarXiv:2605.06507v12026

  18. Self-Routed Tensor Adapters for Parameter-Efficient Universal Visual Adaptation

    Suraj Yadav

    cs.CVcs.LGarXiv:2608.16384v12026

  19. Whose Gold? Annotator-Pool Disagreement Is Large at the Item Level, and Hidden by Small Leaderboards

    Anik Jha

    cs.CLcs.LGarXiv:2608.15980v12026

  20. AutoSR: Automatic Symbolic Regression by Searching Research States

    Kejia Zhang, Youran Sun, Xinyu Ren +2

    cs.SCcs.AIcs.LGarXiv:2608.16876v12026

  21. BERTopic-Virality Prioritisation: A Scalable Framework for Thematic and Comparative Analysis of COVID-19 and Monkeypox Misinformation on Twitter

    Mkululi Sikosana, Sean Maudsley-Barton, Oluwaseun Ajao

    cs.CLcs.LGcs.SIarXiv:2608.15691v12026

  22. Toto 2.0: Time Series Forecasting Enters the Scaling Era

    Emaad Khwaja, Chris Lettieri, Gerald Woo +10

    cs.LGcs.AIarXiv:2605.20119v22026

  23. Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning

    Rohan Surana, Gagan Mundada, Xunyi Jiang +19

    cs.LGarXiv:2605.02913v12026

  24. Towards Automating Scientific Review with Google's Paper Assistant Tool

    Rajesh Jayaram, Drew Tyler, David Woodruff +4

    cs.LGcs.AIcs.CLarXiv:2606.28277v12026

  25. ReFreeKV: Towards Threshold-Free KV Cache Compression

    Xuanfan Ni, Liyan Xu, Chenyang Lyu +6

    cs.CLcs.AIcs.LGarXiv:2502.16886v42025

  26. GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks

    Kaiyuan Chen, Shuangyu Xie, Letian Fu +21

    cs.ROcs.AIcs.CLarXiv:2607.05369v12026

  27. When Does Muon Help Agentic Reinforcement Learning?

    Kai Ruan, Jinghao Lin, Zihe Huang +4

    cs.LGcs.AIarXiv:2607.16169v42026

  28. You Only Pass Once: Answering and Abstaining Together in a Single Forward Pass of a Frozen Language Model

    Ziyang Luo, Zhongyao Chu, Xinjie He +4

    cs.CLcs.LGarXiv:2608.14465v12026

  29. A Vocabulary for Multi-Agent Automated Research Systems

    Bardiya Akhbari

    cs.AIcs.LGcs.MAarXiv:2607.22682v12026

  30. An Exam for Active Observers

    Jiarui Zhang, Muzi Tao, Shangshang Wang +3

    cs.CVcs.AIcs.CLarXiv:2607.16165v12026

  31. Evaluating Agentic Learning Harness Capabilities Without Labels via the Scaling Hypothesis

    Aryan Luthra, Kshitij Jain, Siddharth Arya +2

    cs.AIcs.CRcs.LGarXiv:2608.13608v12026

  32. Mind the Long Tail: Understanding the Difficulty of Delay Detection in Business Processes

    Keyvan Amiri Elyasi, Lukas Kirchdorfer, Heiner Stuckenschmidt

    cs.LGcs.AIarXiv:2608.14367v12026