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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4,741 to 4,800 of 20,192

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use
Xueyu Hu, Tao Xiong, Biao Yi +26
cs.AIcs.CLcs.CVarXiv:2508.04482v12025
Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray +1
eess.SPcs.CVcs.LGarXiv:2202.03274v12022
Multimodal learning with graphs
Yasha Ektefaie, George Dasoulas, Ayush Noori +2
cs.LGcs.AIarXiv:2209.03299v62022
CFDNet: a deep learning-based accelerator for fluid simulations
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya +1
physics.flu-dyncs.LGphysics.comp-pharXiv:2005.04485v12020
Variable Selection for Feature-Based Newsvendor
Zhaoliang Yuan, Jie Wang
stat.MLcs.LGarXiv:2609.01544v12026
ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training
Haian Jin, Rundi Wu, Tianyuan Zhang +4
cs.CVcs.AIcs.LGarXiv:2603.04385v32026
The Optimal Sample Complexity of Multiclass and List Learning
Chirag Pabbaraju
cs.LGstat.MLarXiv:2604.24749v42026
Replicating TRACE: A Practitioner's Guide to Its Threshold and Particle Budget
Alex Chadyuk, Alicia Zhang, Roy Kucukates
cs.LGarXiv:2609.01108v12026
Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems
Kevin Linka, Amelie Schafer, Xuhui Meng +3
cs.LGmath.DSnlin.CDarXiv:2205.08304v22022
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Jiangchao Yao, Shengyu Zhang, Yang Yao +15
cs.LGcs.AIarXiv:2111.06061v32021
Summaries:한국어
MuonEq: Balancing Before Orthogonalization with Lightweight Equilibration
Da Chang, Qiankun Shi, Lvgang Zhang +5
cs.LGstat.MLarXiv:2603.28254v22026
A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading
Jordi de la Torre, Aida Valls, Domenec Puig
cs.LGcs.CVstat.MLarXiv:1712.08107v12017
ES-AHD: An Evolution Strategy Framework for Automatic Heuristic Design
Yutao Lai, Kezhao Lai, Hai-Lin Liu +2
cs.NEcs.LGarXiv:2609.00023v12026
Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations
Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín +2
cs.ROcs.AIcs.LGarXiv:2003.06085v22020
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation
Yizheng Wang, Jinshuai Bai, Mohammad Sadegh Eshaghi +4
cs.LGarXiv:2502.00782v12025
Explore More, Drift Less: Outcome-Only Reinforcement Learning Can Suffice for Long-Horizon Interactive Agents
Liming Pu, Xiaoxia Li, Yifu Liu +2
cs.LGcs.AIarXiv:2609.01245v12026
HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos
Zhi Wang, Botao He, Kelin Yu +4
cs.ROcs.AIcs.CVarXiv:2605.24934v22026
REFACTOR-VLA: Unsupervised Library Learning of Typed Motor Programs
Riyaaz Shaik, Chandru Venkataraman
cs.LGcs.AIcs.ROarXiv:2609.01215v12026
RTFN: A Robust Temporal Feature Network for Time Series Classification
Zhiwen Xiao, Xin Xu, Huanlai Xing +3
cs.LGarXiv:2011.11829v22020
HarnessEvolve: Learning from Reference Trajectories for Reliable Agent Self-Evolution
Wen Jiang, Mingmin Chu, Yimeng Tian +6
cs.LGcs.AIarXiv:2609.00829v12026
RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design
Xiao Liu, Yuanwei Liu, Yue Chen +1
eess.SPcs.LGarXiv:2001.10363v12020
SafetyRepro: Configuration-Conditional Rank Instability on Alignment Benchmarks
Yanhang Li, Zhichao Fan, Zexin Zhuang
cs.LGarXiv:2605.25492v12026
Symmetry in language statistics shapes the geometry of model representations
Dhruva Karkada, Daniel J. Korchinski, Andres Nava +2
cs.LGcond-mat.dis-nncs.CLarXiv:2602.15029v32026
Algorithmic Fairness in Education
René F. Kizilcec, Hansol Lee
cs.CYcs.AIcs.LGarXiv:2007.05443v32020
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
Tiankuang Zhou, Xing Lin, Jiamin Wu +7
eess.IVcs.LGcs.NEarXiv:2008.11659v12020
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Peng Peng, Ying Wen, Yaodong Yang +4
cs.AIcs.LGarXiv:1703.10069v42017
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs
Keno K. Bressem, Lisa Adams, Christoph Erxleben +3
cs.LGcs.CVeess.IVarXiv:2002.08991v12020
FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging
Ziyang Fan, Keyu Chen, Ruilong Xing +3
cs.CVcs.AIcs.CLarXiv:2602.08024v12026
Multi-modal Time Series Analysis: A Tutorial and Survey
Yushan Jiang, Kanghui Ning, Zijie Pan +7
cs.LGarXiv:2503.13709v12025
Automatic LQR Tuning Based on Gaussian Process Global Optimization
Alonso Marco, Philipp Hennig, Jeannette Bohg +2
cs.ROcs.LGeess.SYarXiv:1605.01950v12016
Diffusion Models for Video Prediction and Infilling
Tobias Höppe, Arash Mehrjou, Stefan Bauer +2
cs.CVcs.LGstat.MLarXiv:2206.07696v32022
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM
Hao Kang, Qingru Zhang, Souvik Kundu +4
cs.LGcs.AIcs.CLarXiv:2403.05527v42024
Exponential quantum advantage in processing massive classical data
Haimeng Zhao, Alexander Zlokapa, Hartmut Neven +4
quant-phcs.AIcs.CCarXiv:2604.07639v12026
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework
Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano
cs.LGarXiv:2204.03719v22022
Patent Claim Generation by Fine-Tuning OpenAI GPT-2
Jieh-Sheng Lee, Jieh Hsiang
cs.CLcs.LGstat.MLarXiv:1907.02052v12019
ROSD: Reflective On-Policy Self-Distillation for Language Model Reasoning across Domains
Ziqi Zhao, Xinyu Ma, Liu Yang +6
cs.CLcs.LGarXiv:2605.28014v12026
Tensor principal component analysis via sum-of-squares proofs
Samuel B. Hopkins, Jonathan Shi, David Steurer
cs.LGcs.CCcs.DSarXiv:1507.03269v12015
There Will Be a Scientific Theory of Deep Learning
Jamie Simon, Daniel Kunin, Alexander Atanasov +11
stat.MLcs.LGarXiv:2604.21691v12026
FiLM-GPNet: Geometry-Aware Pseudo-Supervised Phase Restoration with Zero-Shot Generalization for Large Temporal InSAR Stacks
Getnet Demil, Muhammad Farhan Humayun, Tomi Westerlund +2
cs.CVcs.LGarXiv:2608.29384v12026
Subtraction-Based Tumor Segmentation and Lesion-Centered pCR Prediction for the MAMA-MIA Challenge
Kai Geissler, Raphael Schäfer
cs.CVcs.AIcs.LGarXiv:2608.29162v12026
Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter
Denis Belomestny
stat.MLcs.LGmath.OCarXiv:2608.29152v12026
Reinforcing Multi-Turn Reasoning in LLM Agents via Fine-Grained Reward Structure and Credit Assignment
Quan Wei, Siliang Zeng, Chenliang Li +9
cs.LGarXiv:2505.11821v32025
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau +2
cs.AIcs.LGarXiv:2006.01610v12020
Behavioral Latency as Weak Event-Time Supervision for EEG Reaction-Time Decoding
Anuar Aimoldin, Ayana Mussabayeva, Yedige Mussabayev +2
cs.LGarXiv:2608.29428v12026
CF-VLM:CounterFactual Vision-Language Fine-tuning
Jusheng Zhang, Kaitong Cai, Yijia Fan +2
cs.LGcs.AIarXiv:2506.17267v12025
Benchmark Contamination: A Taxonomy Organized by Defeated Mitigation
Johanna Angulo, Víctor Yeste, Hector Espinos-Morato
cs.CRcs.AIcs.CLarXiv:2608.29463v12026
KeepLoRA: Continual Learning with Residual Gradient Adaptation
Mao-Lin Luo, Zi-Hao Zhou, Yi-Lin Zhang +3
cs.CVcs.LGarXiv:2601.19659v12026
TurboTransformers: An Efficient GPU Serving System For Transformer Models
Jiarui Fang, Yang Yu, Chengduo Zhao +1
cs.DCcs.AIcs.LGarXiv:2010.05680v42020
ProtGNN: Towards Self-Explaining Graph Neural Networks
Zaixi Zhang, Qi Liu, Hao Wang +2
cs.LGcs.AIarXiv:2112.00911v12021
Optimally Selecting Representative Agents from a Metric Space
Benjamin Cookson, Eva Deltl, Yeeseok Oh
cs.GTcs.LGarXiv:2608.29097v12026
FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations
Yonghyun Jeong, Doyeon Kim, Youngmin Ro +1
cs.CVcs.LGeess.IVarXiv:2202.03347v12022
Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
Huihan Liu, Changyeon Kim, Bo Liu +2
cs.LGcs.AIcs.ROarXiv:2603.03818v22026
Spectral-Embedded Operator Learning for Three-Phase Interfacial Flow: A Ternary Cahn-Hilliard-Navier-Stokes Benchmark
Muhammad Abid, Arth Sojitra, Omer San
physics.flu-dyncs.LGarXiv:2608.29069v12026
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
Jiezhong Qiu, Yuxiao Dong, Hao Ma +4
cs.SIcs.LGstat.MLarXiv:1906.11156v12019
Adaptive Multi-Branching for Shallow Decision Tree Induction
Hanul Park, Jeonghoon Choi, Juseong Kim +2
cs.LGcs.AIarXiv:2608.29262v12026
HalluPrism: When Multimodal Uncertainty Should Diagnose, Not Decide
Aman Prakash, Sourish Dasgupta, Tanmoy Chakraborty
cs.LGarXiv:2608.29193v12026
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning
Bingbing Xu, Huawei Shen, Qi Cao +2
cs.LGcs.SIarXiv:2007.16002v12020
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
Görkem Giray
cs.SEcs.LGarXiv:2012.07919v32020
Learning the Structure of Generative Models without Labeled Data
Stephen H. Bach, Bryan He, Alexander Ratner +1
cs.LGstat.MLarXiv:1703.00854v22017
Emergent Misalignment Is Not Magical
Mingxuan Li, Qirun Dai, Heran Wang +1
cs.AIcs.CLcs.LGarXiv:2608.29118v12026

Machine Learning

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use

Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects

Multimodal learning with graphs

CFDNet: a deep learning-based accelerator for fluid simulations

Variable Selection for Feature-Based Newsvendor

ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training

The Optimal Sample Complexity of Multiclass and List Learning

Replicating TRACE: A Practitioner's Guide to Its Threshold and Particle Budget

Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

MuonEq: Balancing Before Orthogonalization with Lightweight Equilibration

A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading

ES-AHD: An Evolution Strategy Framework for Automatic Heuristic Design

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation

Explore More, Drift Less: Outcome-Only Reinforcement Learning Can Suffice for Long-Horizon Interactive Agents

HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos

REFACTOR-VLA: Unsupervised Library Learning of Typed Motor Programs

RTFN: A Robust Temporal Feature Network for Time Series Classification

HarnessEvolve: Learning from Reference Trajectories for Reliable Agent Self-Evolution

RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design

SafetyRepro: Configuration-Conditional Rank Instability on Alignment Benchmarks

Symmetry in language statistics shapes the geometry of model representations

Algorithmic Fairness in Education

Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit

Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games

Comparing Different Deep Learning Architectures for Classification of Chest Radiographs

FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging

Multi-modal Time Series Analysis: A Tutorial and Survey

Automatic LQR Tuning Based on Gaussian Process Global Optimization

Diffusion Models for Video Prediction and Infilling

GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM

Exponential quantum advantage in processing massive classical data

A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework

Patent Claim Generation by Fine-Tuning OpenAI GPT-2

ROSD: Reflective On-Policy Self-Distillation for Language Model Reasoning across Domains

Tensor principal component analysis via sum-of-squares proofs

There Will Be a Scientific Theory of Deep Learning

FiLM-GPNet: Geometry-Aware Pseudo-Supervised Phase Restoration with Zero-Shot Generalization for Large Temporal InSAR Stacks

Subtraction-Based Tumor Segmentation and Lesion-Centered pCR Prediction for the MAMA-MIA Challenge

Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter

Reinforcing Multi-Turn Reasoning in LLM Agents via Fine-Grained Reward Structure and Credit Assignment

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

Behavioral Latency as Weak Event-Time Supervision for EEG Reaction-Time Decoding

CF-VLM:CounterFactual Vision-Language Fine-tuning

Benchmark Contamination: A Taxonomy Organized by Defeated Mitigation

KeepLoRA: Continual Learning with Residual Gradient Adaptation

TurboTransformers: An Efficient GPU Serving System For Transformer Models

ProtGNN: Towards Self-Explaining Graph Neural Networks

Optimally Selecting Representative Agents from a Metric Space

FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations

Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning

Spectral-Embedded Operator Learning for Three-Phase Interfacial Flow: A Ternary Cahn-Hilliard-Navier-Stokes Benchmark

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

Adaptive Multi-Branching for Shallow Decision Tree Induction

HalluPrism: When Multimodal Uncertainty Should Diagnose, Not Decide

Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning

A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges

Learning the Structure of Generative Models without Labeled Data

Emergent Misalignment Is Not Magical