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All Explained Papers · cs.LG

1727 papers in cs.LG. Page 6 of 87. ← Back to home

• arXiv:2608.19119 · cs.LG+1 · submitted 2026-08-19 · explained 2026-08-20
  Discretizing Continuous Time Series for Imputation Masked Diffusion Training
  Dongbin Kim, Seungyun Lee, Geonwoo Shin, et al.
• arXiv:2608.19121 · cs.LG+1 · submitted 2026-08-19 · explained 2026-08-20
  PGFS++: Molecular Property Improvement under Synthesis and Diversity Constraints
  Boqiao Zhang, Godbless James, Sai Krishna Gottipati, et al.
• arXiv:2608.19127 · cs.LG+2 · submitted 2026-08-19 · explained 2026-08-20
  Leaf Values as Coordinates: Exact Contrastive Explanation for Gradient-Boosted Ensembles
  Emanuele Luzio
• arXiv:2608.19128 · cs.LG · submitted 2026-08-19 · explained 2026-08-20
  Beyond Trial Averaging: Anchoring Neural and Visual Representations for Few-Repetition Brain-to-Image Retrieval
  Zhenyao Cui, Siyuan Kan, Dingkun Liu, et al.
• arXiv:2608.19134 · cs.LG · submitted 2026-08-19 · explained 2026-08-20
  Subject Coordinate Recovery for Label-Free Cross-Subject EEG-to-Image Retrieval
  Zhenyao Cui, Siyuan Kan, Siyang Li, et al.
• arXiv:2608.19144 · cs.LG · submitted 2026-06-16 · explained 2026-08-20
  Bridge Graphical Models: Coupling, Projection, and Current-Preserving Dynamics for Generative Modeling
  Tiantian Zhang
• arXiv:2608.19151 · cs.LG+2 · submitted 2026-08-19 · explained 2026-08-20
  Continuous-Time Reinforcement Learning for Controlled Hawkes Jump-Diffusions
  Tomasz R. Bielecki, Thibaut Mastrolia, Haoze Yan
• arXiv:2608.19168 · cs.LG · submitted 2026-08-19 · explained 2026-08-20
  Learned, Then Lost: A Measured Single-Example Counterfactual in Pre-training
  Zachary Speck, Asa Shepard
• arXiv:2608.19171 · cs.LG · submitted 2026-08-19 · explained 2026-08-20
  L'evy Attention: Single-Pass Predictive Uncertainty for Continuous-Time Attention
  Sotirios P. Chatzis, Loukas Papadoulas
• arXiv:2608.19181 · cs.LG+2 · submitted 2026-08-19 · explained 2026-08-20
  Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning
  Zhu Zhang, Jixun Wang, Xiaoang Xu, et al.
• arXiv:2608.18171 · cs.AI+1 · submitted 2026-08-17 · explained 2026-08-20
  Looped Language Models Improve Compositional Tool Calling
  Andrei Cristian Popescu, Haitz Sáez de Ocáriz Borde, Pietro Liò
• arXiv:2608.18260 · cs.AI+4 · submitted 2026-08-18 · explained 2026-08-20
  Redakto – The Incognito Tab for LLMs
  Saurav Kumar Saha, Tom Röhr, Felix Bießmann
• arXiv:2608.18261 · cs.AI+1 · submitted 2026-08-18 · explained 2026-08-20
  Cacheable by Design? Training Mixture-of-Experts Routers for Locality Against the Edge Memory-Bandwidth Wall[4pt] A Pre-Registered Negative Result, with a Systems Measurement Study
  Shriniwas Ramesh Suram
• arXiv:2608.18289 · cs.AI+3 · submitted 2026-08-18 · explained 2026-08-20
  Evaluating Structured Information Extraction with Open Models in a High Risk Public Sector Application
  Elias Schubert, Felix Bießmann
• arXiv:2608.18303 · cs.AI+1 · submitted 2026-08-18 · explained 2026-08-20
  SESSE: Sketch, Expand, Sort, Summarize, Evaluate LLM-as-Judge Evaluation via Structured Decomposition
  Dae Lee, Mihai Delgeanu, Adel Youssef
• arXiv:2608.18521 · cs.AI+1 · submitted 2026-08-19 · explained 2026-08-20
  Which Negatives Matter? Ask Your Text Encoder: Adaptive Similarity Margins for Dense-Caption Retrieval
  Haoyue Liu, Ye Chen, Zhichao Wang, et al.
• arXiv:2608.18531 · cs.AI+1 · submitted 2026-08-19 · explained 2026-08-20
  20th ACM Conference on Recommender Systems Industry Track (RecSys '26), September 28--October 2, 2026, Minneapolis, MN, USA
  Tanay Chowdhury, Saeideh Shahrokh Esfahani
• arXiv:2608.18631 · cs.AI+2 · submitted 2026-08-19 · explained 2026-08-20
  Preference Reasoning under Indeterminacy in Large Language Models
  Hadi Hosseini, Samarth Khanna, Xiyuan Wang
• arXiv:2608.18938 · cs.AI+1 · submitted 2026-08-19 · explained 2026-08-20
  Breaking the weakest link to evade vision language models
  Ilan Zini, Boussad Addad, Katarzyna Kapusta
• arXiv:2608.19072 · cs.AI+2 · submitted 2026-08-19 · explained 2026-08-20
  What is Missing from AI Post-Training AI: Empirical Analysis
  Joy Jia Yin Lim, Xin Huang, Hao Peng, et al.