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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6,481 to 6,540 of 20,205

Adaptive Gradient Descent without Descent
Yura Malitsky, Konstantin Mishchenko
math.OCcs.LGmath.NAarXiv:1910.09529v22019
Interactive Post-Training for Vision-Language-Action Models
Shuhan Tan, Kairan Dou, Yue Zhao +1
cs.LGcs.AIcs.CVarXiv:2505.17016v12025
Self-supervised Video Object Segmentation by Motion Grouping
Charig Yang, Hala Lamdouar, Erika Lu +2
cs.CVcs.LGarXiv:2104.07658v22021
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali +50
cond-mat.mtrl-scics.LGphysics.chem-pharXiv:2306.06283v42023
Gated Graph Recurrent Neural Networks
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
eess.SPcs.LGarXiv:2002.01038v22020
A Large Scale Event-based Detection Dataset for Automotive
Pierre de Tournemire, Davide Nitti, Etienne Perot +2
cs.CVcs.LGcs.ROarXiv:2001.08499v32020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang +2
cs.LGmath.OCstat.MLarXiv:2003.00534v22020
LayoutTransformer: Layout Generation and Completion with Self-attention
Kamal Gupta, Justin Lazarow, Alessandro Achille +3
cs.CVcs.LGarXiv:2006.14615v22020
OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents
Thomas Kuntz, Agatha Duzan, Hao Zhao +4
cs.SEcs.LGarXiv:2506.14866v22025
Are You Thinking What I am Thinking? : Examining Conceptual Separation in Neural Architectures
Jaee Ponde, Roshni Agarwal, Subhashis Banerjee
cs.LGcs.AIarXiv:2609.00764v12026
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs
Sameera Ramasinghe, Simon Lucey
cs.LGarXiv:2111.15135v22021
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
Xiaosong Jia, Junqi You, Zhiyuan Zhang +1
cs.LGcs.CVcs.ROarXiv:2503.07656v22025
Unifying Conformal Language Tasks with In-Context Ensembles
Xiao Shi Huang, Chen-Yuan Lin, Bruce Kuwahara +2
cs.CLcs.LGstat.MLarXiv:2609.03005v12026
The Geometry of Ignorance: LLMs Know When to Temper Bayesian Priors
Toni J. B. Liu, Jiajun Bao, Yizhou Liu +4
cs.LGcs.AIcs.CLarXiv:2609.02959v12026
Reinforcement Learning in Economics and Finance
Arthur Charpentier, Romuald Elie, Carl Remlinger
econ.THcs.LGq-fin.CParXiv:2003.10014v12020
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
Fadi Alharbi, Aleksandar Vakanski
cs.LGarXiv:2301.12222v12023
Orthogonal Ensembles and Tested Explanations for Performer-Independent Body-Motion Emotion Recognition
Naoto Nishida, Yoshio Ishiguro
cs.CVcs.HCcs.LGarXiv:2609.02510v12026
SoK: Where Do Flow Labels Come From? Auditing Label Provenance in Encrypted Traffic Benchmarks
Sizhe Huang, Shujie Yang
cs.NIcs.LGarXiv:2609.02140v12026
Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains
N. V. Chawla, Grigoris Karakoulas
cs.LGarXiv:1109.2047v12011
LLMs Accelerate Annotation for Medical Information Extraction
Akshay Goel, Almog Gueta, Omry Gilon +10
cs.CLcs.AIcs.LGarXiv:2312.02296v12023
Learning Deep Networks from Noisy Labels with Dropout Regularization
Ishan Jindal, Matthew Nokleby, Xuewen Chen
cs.CVcs.LGstat.MLarXiv:1705.03419v12017
AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control
Jialong Li, Xuxin Cheng, Tianshu Huang +3
cs.ROcs.AIcs.LGarXiv:2505.03738v12025
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
Li Zhang, Mingliang Wang, Mingxia Liu +1
eess.IVcs.CVcs.LGarXiv:2005.04573v12020
Hardware-Accelerated Instance Segmentation for Resource-Constrained Space Robotics with Criticality Analysis
Siddhant Shete, Hilmi Dogu Kücüker, Udo Frese +1
cs.ROcs.ARcs.CVarXiv:2609.02219v12026
MCP Safety Audit: LLMs with the Model Context Protocol Allow Major Security Exploits
Brandon Radosevich, John Halloran
cs.CRcs.AIcs.LGarXiv:2504.03767v22025
Random vector functional link network: recent developments, applications, and future directions
A. K. Malik, Ruobin Gao, M. A. Ganaie +2
cs.NEcs.LGcs.ROarXiv:2203.11316v22022
Test-Time Training Done Right
Tianyuan Zhang, Sai Bi, Yicong Hong +6
cs.LGcs.CLcs.CVarXiv:2505.23884v12025
Source Distribution Estimation by Posterior Averaging
Trung-Dung Hoang, Lisa M. Koch
cs.LGarXiv:2609.02622v12026
FlexTok: Resampling Images into 1D Token Sequences of Flexible Length
Roman Bachmann, Jesse Allardice, David Mizrahi +6
cs.CVcs.LGarXiv:2502.13967v22025
Scalable Direction-Following TTS via Voice Impression-Guided Pseudo Triplet Construction
Kenichi Fujita, Yusuke Ijima
cs.SDcs.CLcs.LGarXiv:2609.02623v12026
Breadth Beats Depth: Improving GCG-Based Jailbreak Optimization with Breadth-Oriented Suffix Search
Shiliang Xiao, Jingsong Wei, Yuzhi Liang +3
cs.CLcs.LGarXiv:2609.02172v12026
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
Peng Liao, Kristjan Greenewald, Predrag Klasnja +1
cs.LGcs.AIarXiv:1909.03539v12019
Defining and Characterizing Reward Hacking
Joar Skalse, Nikolaus H. R. Howe, Dmitrii Krasheninnikov +1
cs.LGstat.MLarXiv:2209.13085v22022
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder
Longyuan Li, Junchi Yan, Haiyang Wang +1
cs.LGcs.AIarXiv:2102.01331v12021
Reasoning with Sampling: Your Base Model is Smarter Than You Think
Aayush Karan, Yilun Du
cs.LGcs.AIcs.CLarXiv:2510.14901v12025
Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
Hao Wang, Guozhi Wang, Han Xiao +8
cs.LGcs.AIcs.CLarXiv:2604.10674v12026
Counterfactual Explainable Recommendation
Juntao Tan, Shuyuan Xu, Yingqiang Ge +3
cs.IRcs.LGarXiv:2108.10539v32021
Second-order Non-local Attention Networks for Person Re-identification
Bryan, Xia, Yuan Gong +2
cs.CVcs.AIcs.LGarXiv:1909.00295v12019
Technology Readiness Levels for AI & ML
Alexander Lavin, Gregory Renard
cs.SEcs.AIcs.LGarXiv:2006.12497v32020
TransPolymer: a Transformer-based language model for polymer property predictions
Changwen Xu, Yuyang Wang, Amir Barati Farimani
cs.LGphysics.chem-pharXiv:2209.01307v42022
More Agents Is All You Need
Junyou Li, Qin Zhang, Yangbin Yu +2
cs.CLcs.AIcs.LGarXiv:2402.05120v22024
SEAL: Reinforcing Global Safety in Mixture-of-Experts through Shared Expert ALignment
Qingyu Meng, Yiwei Zha, Jiahuan Pei +3
cs.LGcs.AIcs.CRarXiv:2609.02293v12026
Untangling the Mechanisms of Misleading Context in Medical Question Answering
Robin Linzmayer, Noémie Elhadad
cs.CLcs.AIcs.LGarXiv:2609.02754v12026
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection
Andy Brown, Aaron Tuor, Brian Hutchinson +1
cs.LGcs.NEstat.MLarXiv:1803.04967v12018
Towards One-for-All Robustness Across a Continuum of Threat Levels
Zhichao Hou, Xiaorui Liu
cs.LGcs.AIarXiv:2609.02440v12026
Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models
Zhifei Xie, Mingbao Lin, Zihang Liu +3
cs.SDcs.AIcs.CLarXiv:2503.02318v22025
DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems
Xiang Pan, Minghua Chen, Tianyu Zhao +1
eess.SYcs.LGarXiv:2007.01002v62020
Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization
Qingyang Zhang, Haitao Wu, Changqing Zhang +2
cs.LGarXiv:2504.05812v32025
ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents
Manasi Sharma, Chen Bo Calvin Zhang, Chaithanya Bandi +13
cs.AIcs.CLcs.LGarXiv:2511.07685v12025
On the Power and Limitations of Random Features for Understanding Neural Networks
Gilad Yehudai, Ohad Shamir
cs.LGcs.NEstat.MLarXiv:1904.00687v42019
Unifying Graph Convolutional Neural Networks and Label Propagation
Hongwei Wang, Jure Leskovec
cs.LGstat.MLarXiv:2002.06755v12020
What matters for Representation Alignment: Global Information or Spatial Structure?
Jaskirat Singh, Xingjian Leng, Zongze Wu +4
cs.CVcs.AIcs.GRarXiv:2512.10794v12025
R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model
Hengguang Zhou, Xirui Li, Ruochen Wang +3
cs.AIcs.CVcs.LGarXiv:2503.05132v22025
Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing
Robert Tinn, Hao Cheng, Yu Gu +5
cs.CLcs.LGarXiv:2112.07869v12021
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding
Zhangchen Xu, Yang Liu, Yueqin Yin +2
cs.LGcs.AIcs.CLarXiv:2503.02951v22025
Low-Rank Modeling and Its Applications in Image Analysis
Xiaowei Zhou, Can Yang, Hongyu Zhao +1
cs.CVcs.LGstat.MLarXiv:1401.3409v32014
The Art of Scaling Reinforcement Learning Compute for LLMs
Devvrit Khatri, Lovish Madaan, Rishabh Tiwari +6
cs.LGcs.AIarXiv:2510.13786v12025
Network Morphism
Tao Wei, Changhu Wang, Yong Rui +1
cs.LGcs.CVcs.NEarXiv:1603.01670v22016
TinyOL: TinyML with Online-Learning on Microcontrollers
Haoyu Ren, Darko Anicic, Thomas Runkler
cs.LGcs.DCeess.SYarXiv:2103.08295v32021
Memory Injection Attacks on LLM Agents via Query-Only Interaction
Shen Dong, Shaochen Xu, Pengfei He +5
cs.LGarXiv:2503.03704v52025

Machine Learning

Adaptive Gradient Descent without Descent

Interactive Post-Training for Vision-Language-Action Models

Self-supervised Video Object Segmentation by Motion Grouping

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

Gated Graph Recurrent Neural Networks

A Large Scale Event-based Detection Dataset for Automotive

Provably Efficient Safe Exploration via Primal-Dual Policy Optimization

LayoutTransformer: Layout Generation and Completion with Self-attention

OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents

Are You Thinking What I am Thinking? : Examining Conceptual Separation in Neural Architectures

Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving

Unifying Conformal Language Tasks with In-Context Ensembles

The Geometry of Ignorance: LLMs Know When to Temper Bayesian Priors

Reinforcement Learning in Economics and Finance

Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review

Orthogonal Ensembles and Tested Explanations for Performer-Independent Body-Motion Emotion Recognition

SoK: Where Do Flow Labels Come From? Auditing Label Provenance in Encrypted Traffic Benchmarks

Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains

LLMs Accelerate Annotation for Medical Information Extraction

Learning Deep Networks from Noisy Labels with Dropout Regularization

AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control

A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis

Hardware-Accelerated Instance Segmentation for Resource-Constrained Space Robotics with Criticality Analysis

MCP Safety Audit: LLMs with the Model Context Protocol Allow Major Security Exploits

Random vector functional link network: recent developments, applications, and future directions

Test-Time Training Done Right

Source Distribution Estimation by Posterior Averaging

FlexTok: Resampling Images into 1D Token Sequences of Flexible Length

Scalable Direction-Following TTS via Voice Impression-Guided Pseudo Triplet Construction

Breadth Beats Depth: Improving GCG-Based Jailbreak Optimization with Breadth-Oriented Suffix Search

Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity

Defining and Characterizing Reward Hacking

Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder

Reasoning with Sampling: Your Base Model is Smarter Than You Think

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents

Counterfactual Explainable Recommendation

Second-order Non-local Attention Networks for Person Re-identification

Technology Readiness Levels for AI & ML

TransPolymer: a Transformer-based language model for polymer property predictions

More Agents Is All You Need

SEAL: Reinforcing Global Safety in Mixture-of-Experts through Shared Expert ALignment

Untangling the Mechanisms of Misleading Context in Medical Question Answering

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

Towards One-for-All Robustness Across a Continuum of Threat Levels

Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models

DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems

Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents

On the Power and Limitations of Random Features for Understanding Neural Networks

Unifying Graph Convolutional Neural Networks and Label Propagation

What matters for Representation Alignment: Global Information or Spatial Structure?

R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing

KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Low-Rank Modeling and Its Applications in Image Analysis

The Art of Scaling Reinforcement Learning Compute for LLMs

Network Morphism

TinyOL: TinyML with Online-Learning on Microcontrollers

Memory Injection Attacks on LLM Agents via Query-Only Interaction