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All Explained Papers · cs.LG

167 papers in cs.LG. Page 7 of 9. ← Back to home

• arXiv:2604.20727 · cs.LG+1 · submitted 2026-04-22 · explained 2026-04-23
  Supplement Generation Training for Enhancing Agentic Task Performance
  Young Min Cho, Daniele Bonadiman, Divya Bhargavi, et al.
• arXiv:2604.20733 · cs.LG · submitted 2026-04-22 · explained 2026-04-23
  Near-Future Policy Optimization
  Chuanyu Qin, Chenxu Yang, Qingyi Si, et al.
• arXiv:2604.20735 · cs.LG+2 · submitted 2026-04-22 · explained 2026-04-23
  Fast Bayesian equipment condition monitoring via simulation based inference: applications to heat exchanger health
  Peter Collett, Alexander Johannes Stasik, Simone Casolo, et al.
• arXiv:2604.20736 · cs.LG · submitted 2026-04-22 · explained 2026-04-23
  F2LP-AP: Fast & Flexible Label Propagation with Adaptive Propagation Kernel
  Yutong Shen, Ruizhe Xia, Jingyi Liu, et al.
• arXiv:2604.20745 · cs.LG+1 · submitted 2026-04-22 · explained 2026-04-23
  Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems
  Beining Wu, Jun Huang
• arXiv:2604.20775 · cs.LG · submitted 2026-04-22 · explained 2026-04-23
  Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference
  Chao Wang, Luca Nepote, Giulio Franzese, et al.
• arXiv:2604.20777 · cs.LG · submitted 2026-04-22 · explained 2026-04-23
  Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning
  Dario Simionato, Andrea Tonon, Mingxue Wang, et al.
• arXiv:2604.20783 · cs.LG · submitted 2026-04-22 · explained 2026-04-23
  Physics-Conditioned Synthesis of Internal Ice-Layer Thickness for Incomplete Layer Traces This work is supported by NSF BIGDATA awards (IIS-1838230, IIS-2308649), NSF Leadership Class Computing awards (OAC-2139536), NSF PFI award (2423211), IBM, and Amazon. This work used Jetstream2 at Indiana University through allocation CIS250588 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by National Science Foundation grants #2138259, #2138286, #2138307, #2137603, and #2138296 Copyright 2026 IEEE. Published in the 2026 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2026), scheduled for 9 - 14 August 2026 in Washington, D.C.. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE. Contact: Manager, Copyrights and Permissions / IEEE Service Center / 445 Hoes Lane / P.O. Box 1331 / Piscataway, NJ 08855-1331, USA. Telephone: + Intl. 908-562-3966. This version is the accepted manuscript submitted to arXiv. The final version will be published in the Proceedings of IGARSS 2026 and available via IEEE Xplore. For citation, please refer to the published version in IGARSS 2026.
  Zesheng Liu, Maryam Rahnemoonfar
• arXiv:2604.20816 · cs.LG+1 · submitted 2026-04-22 · explained 2026-04-23
  ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control
  Shelly Golan, Michael Finkelson, Ariel Bereslavsky, et al.
• arXiv:2604.20819 · cs.LG+1 · submitted 2026-04-22 · explained 2026-04-23
  Stream-CQSA: Avoiding Out-of-Memory in Attention Computation via Flexible Workload Scheduling
  Yiming Bian, Joshua M. Akey
• arXiv:2604.20824 · cs.LG+1 · submitted 2026-04-22 · explained 2026-04-23
  Closing the Domain Gap in Biomedical Imaging by In-Context Control Samples
  Ana Sanchez-Fernandez, Thomas Pinetz, Werner Zellinger, et al.
• arXiv:2604.20825 · cs.LG+4 · submitted 2026-04-22 · explained 2026-04-23
  FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels
  Sina Gholami, Abdulmoneam Ali, Tania Haghighi, et al.
• arXiv:2604.19761 · cs.AI+2 · submitted 2026-03-26 · explained 2026-04-23
  EvoForest: A Novel Machine-Learning Paradigm via Open-Ended Evolution of Computational Graphs
  Kamer Ali Yuksel, Hassan Sawaf
• arXiv:2604.19790 · cs.AI+1 · submitted 2026-04-02 · explained 2026-04-23
  Hidden Reliability Risks in Large Language Models: Systematic Identification of Precision-Induced Output Disagreements
  Yifei Wang, Tianlin Li, Xiaohan Zhang, et al.
• arXiv:2604.19793 · cs.AI+3 · submitted 2026-04-07 · explained 2026-04-23
  SkillGraph: Graph Foundation Priors for LLM Agent Tool Sequence Recommendation
  Hao Liu, Dongyu Li
• arXiv:2604.19809 · cs.AI+1 · submitted 2026-04-15 · explained 2026-04-23
  A Hierarchical Benchmark for Metacognitive Calibration Large Language Models
  Jason Z Wang
• arXiv:2604.20039 · cs.AI+1 · submitted 2026-04-21 · explained 2026-04-23
  Separable Pathways for Causal Reasoning: Architectural Scaffolding Enables Hypothesis-Space Restructuring in LLM Agents
  John Alderete, Sebastian Benthal, Connie Xu, et al.
• arXiv:2604.20140 · cs.AI+1 · submitted 2026-04-22 · explained 2026-04-23
  HiPO: Hierarchical Preference Optimization for Adaptive Reasoning in Large Language Models
  Darsh Kachroo, Adriana Caraeni, Arjun Prasaath Anbazhagan, et al.
• arXiv:2604.20254 · cs.AI+1 · submitted 2026-04-22 · explained 2026-04-23
  Mol-Debate: Multi-Agent Debate Improves Structural Reasoning in Molecular Design
  Wengyu Zhang, Xiao-Yong Wei, Qing Li
• arXiv:2604.20622 · cs.AI+2 · submitted 2026-04-22 · explained 2026-04-23
  pAI/MSc: ML Theory Research Humans on the Loop A Technical Report
  Mahmoud Abdelmoneum, Pierfrancesco Beneventano, Tomaso Poggio