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All Explained Papers · cs.LG

167 papers in cs.LG. Page 5 of 9. ← Back to home

arXiv:2604.20789 · cs.CL+2 · submitted 2026-04-22 · explained 2026-04-23

Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity

Pranava Madhyastha, Dagmar Adamcova
arXiv:2604.20817 · cs.CL+2 · submitted 2026-04-22 · explained 2026-04-23

Convergent Evolution: How Different Language Models Learn Similar Number Representations

Deqing Fu, Tianyi Zhou, Mikhail Belkin, et al.
arXiv:2604.20188 · cs.LG+1 · submitted 2026-04-22 · explained 2026-04-23

Structure-Aware Variational Learning of a Class of Generalized Diffusions

Yubin Lu, Xiaofan Li, Chun Liu, et al.
arXiv:2604.20204 · cs.LG · submitted 2026-04-22 · explained 2026-04-23

ACT: Anti-Crosstalk Learning for Cross-Sectional Stock Ranking via Temporal Disentanglement and Structural Purification

Juntao Li, Liang Zhang
arXiv:2604.20209 · cs.LG · submitted 2026-04-22 · explained 2026-04-23

Scaling Self-Play with Self-Guidance

Luke Bailey, Kaiyue Wen, Kefan Dong, et al.
arXiv:2604.20219 · cs.LG+2 · submitted 2026-04-22 · explained 2026-04-23

Geometric Layer-wise Approximation Rates for Deep Networks

Shijun Zhang, Zuowei Shen, Yuesheng Xu
arXiv:2604.20236 · cs.LG · submitted 2026-04-22 · explained 2026-04-23

Machine Learning for Two-Stage Graph Sparsification for the Travelling Salesman Problem

Bo-Cheng Lin, Yi Mei, Mengjie Zhang
arXiv:2604.20255 · cs.LG+1 · submitted 2026-04-22 · explained 2026-04-23

uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN

Sha Lu, Jixue Liu, Stefan Peters, et al.
arXiv:2604.20259 · cs.LG · submitted 2026-04-22 · explained 2026-04-23

Causal-Transformer with Adaptive Mutation-Locking for Early Prediction of Acute Kidney Injury

Weizhi Nie, Haolin Chen
arXiv:2604.20276 · cs.LG+1 · submitted 2026-04-22 · explained 2026-04-23

Rethinking Intrinsic Dimension Estimation in Neural Representations

Rickmer Schulte, David Rügamer
arXiv:2604.20288 · cs.LG · submitted 2026-04-22 · explained 2026-04-23

Generative Augmentation of Imbalanced Flight Records for Flight Diversion Prediction: A Multi-objective Optimisation Framework

Karim Aly, Alexei Sharpanskykh, Jacco Hoekstra
arXiv:2604.20293 · cs.LG · submitted 2026-04-22 · explained 2026-04-23

Synthetic Flight Data Generation Using Generative Models Funded by SESAR 3 Joint Undertaking, co-funded by the European Union.

Karim Aly, Alexei Sharpanskykh
arXiv:2604.20308 · cs.LG · submitted 2026-04-22 · explained 2026-04-23

Sheaf Neural Networks on SPD Manifolds: -Order Geometric Representation Learning

Yuhan Peng, Junwen Dong, Yuzhi Zeng, et al.
arXiv:2604.20313 · cs.LG+1 · submitted 2026-04-22 · explained 2026-04-23

Formalising the Logit Shift Induced by LoRA: A Technical Note

Xiang Shi, Shuaizhi Cheng, Mingwei Li
arXiv:2604.20316 · cs.LG · submitted 2026-04-22 · explained 2026-04-23

R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling

Aijia Cheng, Kailong Wang, Ling Shi, et al.
arXiv:2604.20370 · cs.LG+1 · submitted 2026-04-22 · explained 2026-04-23

Cold-Start Forecasting of New Product Life-Cycles via Conditional Diffusion Models

Ruihan Zhou, Zishi Zhang, Jinhui Han, et al.
arXiv:2604.20374 · cs.LG · submitted 2026-04-22 · explained 2026-04-23

Towards Event-Aware Forecasting in DeFi: Insights from On-chain Automated Market Maker Protocols

Huaiyu Jia, Jiehshun You, Yizhi Luo, et al.
arXiv:2604.20381 · cs.LG+2 · submitted 2026-04-22 · explained 2026-04-23

Distributional Value Estimation Without Target Networks for Robust Quality-Diversity

Behrad Koohy, Jamie Bayne
arXiv:2604.20403 · cs.LG · submitted 2026-04-22 · explained 2026-04-23

Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids

Burak Karabulut, Carlo Manna, Chris Develder
arXiv:2604.20409 · cs.LG+1 · submitted 2026-04-22 · explained 2026-04-23

0.5em Calibrating Conditional Risk

Andrey Vasilyev, Yikai Wang, Xiaocheng Li, et al.