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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6,601 to 6,660 of 20,219

Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration
Abhishek Gupta, Clemens Eppner, Sergey Levine +1
cs.LGcs.ROarXiv:1603.06348v32016
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
Ling Chen, Donghui Chen, Zongjiang Shang +4
cs.LGarXiv:2201.04828v22022
Group Adaptive Clipping Policy Optimization
Sheng Jia, Xiao Wang, Shiva Prasad Kasiviswanathan +1
cs.LGcs.CLarXiv:2609.00444v12026
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
Wei Xiong, Jiarui Yao, Yuhui Xu +8
cs.LGcs.AIcs.CLarXiv:2504.11343v22025
dLLM: Simple Diffusion Language Modeling
Zhanhui Zhou, Lingjie Chen, Hanghang Tong +1
cs.CLcs.AIcs.LGarXiv:2602.22661v12026
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
Rulin Shao, Akari Asai, Shannon Zejiang Shen +18
cs.CLcs.AIcs.LGarXiv:2511.19399v32025
Towards Understanding Regularization in Batch Normalization
Ping Luo, Xinjiang Wang, Wenqi Shao +1
cs.LGcs.CVeess.SYarXiv:1809.00846v42018
Learning to Win by Reading Manuals in a Monte-Carlo Framework
S. R. K. Branavan, David Silver, Regina Barzilay
cs.CLcs.AIcs.LGarXiv:1401.5390v12014
Understanding graph embedding methods and their applications
Mengjia Xu
cs.LGcs.ITcs.SIarXiv:2012.08019v12020
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin, Yaxuan Kong, Yuxuan Liang +13
cs.LGcs.AIarXiv:2310.10196v32023
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou, Haixia Zheng, Xin Huang +3
cs.LGarXiv:2012.08752v42020
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao, Tianpei Yang, Hongyao Tang +5
cs.AIcs.LGcs.MAarXiv:2109.06668v62021
Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding
David Burth Kurka, Deniz Gündüz
cs.ITcs.LGeess.IVarXiv:2009.12480v22020
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants
Lorenzo Gigoni, Alessandro Betti, Emanuele Crisostomi +4
cs.LGstat.MLarXiv:1903.06800v12019
Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
Xu Wang, Chenkai Xu, Yijie Jin +3
cs.LGcs.AIarXiv:2508.09192v12025
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
Mohamed Amine Ferrag, Norbert Tihanyi, Merouane Debbah
cs.AIcs.LGarXiv:2504.19678v22025
Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation
Bingnan Li, Haozhe Wang, Haozhong Xiong +5
cs.CVcs.AIcs.LGarXiv:2607.24731v22026
Committee neural network potentials control generalization errors and enable active learning
Christoph Schran, Krystof Brezina, Ondrej Marsalek
physics.chem-phcs.LGphysics.comp-pharXiv:2006.01541v22020
Introduction to Online Convex Optimization
Elad Hazan
cs.LGmath.OCstat.MLarXiv:1909.05207v32019
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
Gary Marcus
cs.AIcs.LGarXiv:2002.06177v32020
Are Language Models Actually Useful for Time Series Forecasting?
Mingtian Tan, Mike A. Merrill, Vinayak Gupta +2
cs.LGcs.AIarXiv:2406.16964v22024
Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models
Bowen Ping, Xiangxin Zhou, Penghui Qi +3
cs.LGarXiv:2606.11025v22026
Performance Foundations of Parallel & Distributed Reasoning Language Models
Maciej Besta, Leonard Schmidt, Lara Nonino +7
cs.LGcs.AIcs.DCarXiv:2608.27046v12026
Scaling Model-Generated Distillation Data Can Make Latent Teacher Traits More Recoverable
Zhichen Dong, Zhixuan Liu, Yuyu Fan +3
cs.LGcs.CLarXiv:2608.26958v12026
Cross-Temperature Defect Identification in Atomistic Simulations via Multi-Level Domain Alignment
Yating Fang, Jungmin Kim, Qian Qian Zhao +4
cond-mat.mtrl-scics.LGphysics.comp-pharXiv:2608.22074v12026
Which Negatives Matter? Ask Your Text Encoder: Adaptive Similarity Margins for Dense-Caption Retrieval
Haoyue Liu, Ye Chen, Zhichao Wang +1
cs.AIcs.LGarXiv:2608.18521v12026
Evaluating and improving crop-yield forecasting methods during extreme drought
Shrey Gupta, Yi Ming, George Mohler
cs.LGarXiv:2608.17971v12026
Reflex-Guard: A Low-Latency Guardrail for LLM Prompt Safety Using Dense Semantic Embeddings
Istiaque Ahmed, Afia Anjum Borsha, Ranat Das Prangon +2
cs.CRcs.CLcs.LGarXiv:2608.17556v12026
A Method for Representing Periodic Functions and Enforcing Exactly Periodic Boundary Conditions with Deep Neural Networks
Suchuan Dong, Naxian Ni
physics.comp-phcs.LGmath.NAarXiv:2007.07442v12020
H3DNAS: Hardware-Aware ONNX-Native 3D Point Cloud Model Compression
Anchit Mulye, Rhythm Baghel, Sujay Kumar Ingle +1
cs.LGcs.ARcs.NEarXiv:2609.02684v12026
The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
Haggai Roitman
cs.AIcs.CLcs.IRarXiv:2606.24937v22026
Summaries:한국어
Sparse Competition during Training For the Emergence of Specialized Modules
Baptiste Rossigneux, Karim Haroun
cs.LGarXiv:2608.30978v12026
Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk
Fariborz Setoudehtazang, Geoffrey J. McLachlan
stat.MLcs.LGarXiv:2608.30561v12026
Agentic Large Language Models, a survey
Aske Plaat, Max van Duijn, Niki van Stein +3
cs.AIcs.CLcs.LGarXiv:2503.23037v32025
Twin Worlds: Equivariance-Based Abstention for Evidence-Grounded Reasoning
Vy Nguyen, Ziqi Xu, Jeffrey Chan +5
cs.CLcs.AIcs.LGarXiv:2608.28018v12026
TEMPLAR Wales: A georeferenced environmental and toponymic dataset of Welsh settlements
Oktay Karakuş, Can Eyupoglu
cs.LGcs.CLarXiv:2608.26970v12026
Multiscale Community-Based Fingerprinting of Signed Functional Networks
Sema Athamnah, Selin Aviyente
q-bio.NCcs.LGeess.SParXiv:2608.27483v12026
Systematic Literature Review of Machine Learning Models and Applications for Text Recognition
Nuzhat Khan, Ab Al-Hadi Ab Rahman, Shahriyar Masud Rizvi +5
cs.CVcs.LGarXiv:2608.26500v12026
Geometry-Constrained Kolmogorov-Arnold Networks: Learning Edge Geometry via Banach Duality
K S Sesh Kumar
cs.LGstat.MLarXiv:2608.25807v12026
On Scope Classification and Current Knowledge-Editing Benchmarks: A Negative Result, with INLAY as a Gradient-Free Case Study
Aditya Pratap Singh
cs.CLcs.AIcs.LGarXiv:2608.26292v12026
VINCENT: Validated Interaction Network for Cross-drug Explanation of Therapeutics
Fan-Sheng Chuang, Xuchen Li, Yujing Bian +1
cs.LGcs.AIarXiv:2608.25841v12026
CropCop: An Auditable 120-Class Plant-Health Model from Benchmark Reconstruction to a Quantised Runtime Artifact
Rana Muhammad Ahmed, Sabahat Abbas
cs.CVcs.LGarXiv:2608.25539v12026
Individual Fairness in Hierarchical Clustering
Binita Maity, Shrutimoy Das
cs.LGarXiv:2608.25586v12026
HBQ: Hierarchical Scaling Block Quantization with Hardware-Efficiency-Aware Design for Accurate LLM Inference
Chun-Ting Chen, Dongmin Han, Hangyeol Mun +6
cs.LGcs.AIcs.ARarXiv:2609.00450v12026
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder, Minqi Jiang, Michael Dennis +4
cs.LGarXiv:2203.01302v32022
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
Barbara Plank
cs.CLcs.LGarXiv:2211.02570v12022
Improving Few-Step Language Flows with Untied Self-Conditioning
Bocheng Li, Linli Xu
cs.CLcs.AIcs.LGarXiv:2608.22244v12026
RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER
Lin Sun, Jiquan Wang, Kai Zhang +2
cs.CLcs.LGarXiv:2102.02967v12021
Structured Learning on Mapper Representations
George Babus, Farzana Nasrin
stat.MLcs.LGarXiv:2608.22044v12026
Decoupling Policy Extraction for Offline Reinforcement Learning
Xuyao Lin, Yixiang Shan, Jinru Duan +7
cs.LGcs.ROarXiv:2608.20909v12026
FastKernels: Benchmarking GPU Kernel Generation in Production
Gabriele Oliaro, Yichao Fu, May Jiang +5
cs.LGcs.AIcs.CLarXiv:2605.23215v12026
From Storage to Access: Verifiable Activation of Parametric Knowledge in LLMs via Explicit Priming and Implicit Reasoning
Zuocheng Ying, Yang Yang, Yumou Wu +6
cs.CLcs.AIcs.LGarXiv:2608.18581v12026
Compress and Forget: bitsandbytes Quantization Amplifies Proactive Interference in LLMs
Shayan Shahrabi-Farahani, Dara Rahmati
cs.CLcs.LGarXiv:2608.18578v12026
Study-Strategy Clusters from EdNet Logs Track Engagement, Not Mastery
Qingchuan Lyu, Yingxin Li, Albert Yang
cs.LGcs.CYstat.AParXiv:2608.16963v12026
Paired Exact-Reset Evaluation of a Prediction-Derived Medium-to-Full World-Model Cascade
Malo de Pastor
cs.LGcs.ROarXiv:2608.14650v12026
Scaling Long-Horizon LLM Agent via Context-Folding
Weiwei Sun, Miao Lu, Zhan Ling +4
cs.CLcs.LGarXiv:2510.11967v12025
TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment
Zhewen Tan, Wenhan Yu, Jianfeng Si +9
cs.LGcs.AIarXiv:2601.18292v22026
KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs
Chuangtao Chen, Grace Li Zhang, Xunzhao Yin +3
cs.LGcs.AIarXiv:2604.13226v22026
LightMem: Lightweight and Efficient Memory-Augmented Generation
Jizhan Fang, Xinle Deng, Haoming Xu +9
cs.CLcs.AIcs.CVarXiv:2510.18866v42025
S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models
Jack Young
cs.CLcs.LGarXiv:2604.01168v22026

Machine Learning

Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting

Group Adaptive Clipping Policy Optimization

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce

dLLM: Simple Diffusion Language Modeling

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Towards Understanding Regularization in Batch Normalization

Learning to Win by Reading Manuals in a Monte-Carlo Framework

Understanding graph embedding methods and their applications

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Graph Neural Networks: Taxonomy, Advances and Trends

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding

Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants

Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation

Committee neural network potentials control generalization errors and enable active learning

Introduction to Online Convex Optimization

The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence

Are Language Models Actually Useful for Time Series Forecasting?

Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models

Performance Foundations of Parallel & Distributed Reasoning Language Models

Scaling Model-Generated Distillation Data Can Make Latent Teacher Traits More Recoverable

Cross-Temperature Defect Identification in Atomistic Simulations via Multi-Level Domain Alignment

Which Negatives Matter? Ask Your Text Encoder: Adaptive Similarity Margins for Dense-Caption Retrieval

Evaluating and improving crop-yield forecasting methods during extreme drought

Reflex-Guard: A Low-Latency Guardrail for LLM Prompt Safety Using Dense Semantic Embeddings

A Method for Representing Periodic Functions and Enforcing Exactly Periodic Boundary Conditions with Deep Neural Networks

H3DNAS: Hardware-Aware ONNX-Native 3D Point Cloud Model Compression

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems

Sparse Competition during Training For the Emergence of Specialized Modules

Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk

Agentic Large Language Models, a survey

Twin Worlds: Equivariance-Based Abstention for Evidence-Grounded Reasoning

TEMPLAR Wales: A georeferenced environmental and toponymic dataset of Welsh settlements

Multiscale Community-Based Fingerprinting of Signed Functional Networks

Systematic Literature Review of Machine Learning Models and Applications for Text Recognition

Geometry-Constrained Kolmogorov-Arnold Networks: Learning Edge Geometry via Banach Duality

On Scope Classification and Current Knowledge-Editing Benchmarks: A Negative Result, with INLAY as a Gradient-Free Case Study

VINCENT: Validated Interaction Network for Cross-drug Explanation of Therapeutics

CropCop: An Auditable 120-Class Plant-Health Model from Benchmark Reconstruction to a Quantised Runtime Artifact

Individual Fairness in Hierarchical Clustering

HBQ: Hierarchical Scaling Block Quantization with Hardware-Efficiency-Aware Design for Accurate LLM Inference

Evolving Curricula with Regret-Based Environment Design

The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation

Improving Few-Step Language Flows with Untied Self-Conditioning

RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER

Structured Learning on Mapper Representations

Decoupling Policy Extraction for Offline Reinforcement Learning

FastKernels: Benchmarking GPU Kernel Generation in Production

From Storage to Access: Verifiable Activation of Parametric Knowledge in LLMs via Explicit Priming and Implicit Reasoning

Compress and Forget: bitsandbytes Quantization Amplifies Proactive Interference in LLMs

Study-Strategy Clusters from EdNet Logs Track Engagement, Not Mastery

Paired Exact-Reset Evaluation of a Prediction-Derived Medium-to-Full World-Model Cascade

Scaling Long-Horizon LLM Agent via Context-Folding

TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment

KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs

LightMem: Lightweight and Efficient Memory-Augmented Generation

S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models