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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27,061 to 27,120 of 33,130

Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp, Mitch Hill, Song-Chun Zhu +1
stat.MLcs.LGarXiv:1904.09770v42019
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs
Jun Zhu, Ning Chen, Eric P. Xing
cs.LGcs.AIstat.MEarXiv:1210.1766v32012
ProteinBench: A Holistic Evaluation of Protein Foundation Models
Fei Ye, Zaixiang Zheng, Dongyu Xue +7
q-bio.QMcs.AIcs.LGarXiv:2409.06744v22024
Invariance of Clustering Operations in Causal Effect Identification
Jani Nykänen, Otto Tabell, Santtu Tikka +1
stat.MLcs.LGarXiv:2610.03101v12026
Length Desensitization in Direct Preference Optimization
Wei Liu, Yang Bai, Chengcheng Han +5
cs.LGcs.CLarXiv:2409.06411v22024
Which Quantization Should I Use? A Unified Evaluation of llama.cpp Quantization on Llama-3.1-8B-Instruct
Uygar Kurt
cs.LGarXiv:2601.14277v12026
ULTRADISCOVERY: Abductive Exploration in an Interconnected, Epistemically Open Universe
Weihan Li, Tianshi Zheng, Yangqiu Song +2
cs.LGcs.AIarXiv:2610.03092v12026
Learning Invariant Representations with Local Transformations
Kihyuk Sohn, Honglak Lee
cs.LGcs.CVstat.MLarXiv:1206.6418v12012
Learning from Humans for Proactive Assistance in Human-Robot Collaborative Transport
Elvin Yang, Christoforos Mavrogiannis
cs.ROcs.HCcs.LGarXiv:2609.25351v12026
QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE
Junjie Zhao, Chengxi Zhang, Min Qin +1
q-fin.CPcs.AIcs.LGarXiv:2409.05144v32024
Repulsive Deep Ensembles are Bayesian
Francesco D'Angelo, Vincent Fortuin
cs.LGstat.MLarXiv:2106.11642v32021
From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence
Marc Finzi, Shikai Qiu, Yiding Jiang +3
cs.LGstat.MLarXiv:2601.03220v22026
Wasserstein Fair Classification
Ray Jiang, Aldo Pacchiano, Tom Stepleton +2
stat.MLcs.LGarXiv:1907.12059v12019
E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models
Shengjun Zhang, Zhang Zhang, Chensheng Dai +1
cs.LGcs.AIcs.CVarXiv:2601.00423v12026
On Polynomial Time Methods for Exact Low Rank Tensor Completion
Dong Xia, Ming Yuan
stat.MLcs.ITcs.LGarXiv:1702.06980v12017
Lexical Perturbations Disrupt LLM Reasoning: An Empirical Study of Attention Diversion
Jiaqian Zhu, Yang Zhang, Junhua Ding +1
cs.CLcs.AIcs.LGarXiv:2608.22140v12026
Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance
Daichi Kuroda, Maximilien Dreveton, Matthias Grossglauser +1
cs.LGstat.MEstat.MLarXiv:2609.11173v12026
CooperBench: Why Coding Agents Cannot be Your Teammates Yet
Arpandeep Khatua, Hao Zhu, Peter Tran +8
cs.LGcs.AIcs.CLarXiv:2601.13295v22026
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima, Jonathan Gordon, John Bronskill +2
stat.MLcs.LGarXiv:1906.07697v22019
Masked Audio Generation using a Single Non-Autoregressive Transformer
Alon Ziv, Itai Gat, Gael Le Lan +6
cs.SDcs.AIcs.LGarXiv:2401.04577v22024
Inductive Moment Matching
Linqi Zhou, Stefano Ermon, Jiaming Song
cs.LGcs.AIstat.MLarXiv:2503.07565v72025
MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning
Jinhao Chen, Zhen Yang, Jianxin Shi +2
cs.AIcs.LGarXiv:2511.06805v12025
Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics
Esben Jannik Bjerrum, Mads Glahder, Thomas Skov
cs.LGarXiv:1710.01927v12017
When Does Dense Retrieval Need Asymmetric Geometry? A Bias-Variance Theory of Shared and Dual Projections
Maojun Sun, Yancheng Yuan, Jian Huang +1
cs.IRcs.LGarXiv:2609.32488v12026
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon +3
cs.LGarXiv:1709.06683v22017
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Alex Gu, Baptiste Rozière, Hugh Leather +3
cs.SEcs.AIcs.LGarXiv:2401.03065v12024
ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting
Yu Liu, Baoxiong Jia, Ruijie Lu +3
cs.CVcs.GRcs.LGarXiv:2502.19459v22025
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Shenzhi Wang, Le Yu, Chang Gao +15
cs.CLcs.AIcs.LGarXiv:2506.01939v22025
Communicating Activations Between Language Model Agents
Vignav Ramesh, Kenneth Li
cs.CLcs.AIcs.LGarXiv:2501.14082v22025
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
Richard S. Sutton, Csaba Szepesvari, Alborz Geramifard +1
cs.AIcs.LGeess.SYarXiv:1206.3285v12012
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal +2
cs.LGstat.MLarXiv:1905.10347v12019
Advantage of Sample Complexity in Quantum PAC Learning Requires Inverse Access to State-Preparation Unitaries
Natsuto Isogai, Satoshi Yoshida, Mio Murao
quant-phcs.LGstat.MLarXiv:2609.38403v12026
Semi-Tensor Product-Based Multi-Term Randomized T-SVD and Its Visual Applications
Xingchen Xiao, Feng Zhang, Wenjin Qin +1
cs.LGarXiv:2609.11168v12026
WebFovea: When the Model Is Right but the Click Is Wrong -- Reliable Round Trips for Vision-Based Web Agents on Live Websites
Jiangang Han
cs.LGcs.AIcs.CVarXiv:2610.03036v22026
Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Sebastian Lapuschkin, Alexander Binder, Klaus-Robert Müller +1
stat.MLcs.AIcs.CVarXiv:1708.07689v12017
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min, Hayley Ross, Elior Sulem +6
cs.CLcs.AIcs.LGarXiv:2111.01243v12021
Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data
Hongda Wu, Ping Wang
cs.LGcs.AIarXiv:2105.07066v32021
Intriguing Properties of Vision Transformers
Muzammal Naseer, Kanchana Ranasinghe, Salman Khan +3
cs.CVcs.AIcs.LGarXiv:2105.10497v32021
Equal Ranking Quality, Different Decisions: Training Order-Consistent LLM Scorers
Markus Frohmann, Mahdiyar Alavi, Elizabeth Lingg +1
cs.CLcs.IRcs.LGarXiv:2608.26762v12026
Optimal Alternating Regret for Online Learning and Games
Yixin Tao, Weiqiang Zheng
cs.LGcs.GTstat.MLarXiv:2608.24731v12026
Transformers converge to invariant algorithmic cores
Joshua S. Schiffman
cs.LGcs.AIarXiv:2602.22600v22026
OPRD: On-Policy Representation Distillation
Shenzhi Yang, Guangcheng Zhu, Bowen Song +8
cs.LGcs.AIarXiv:2606.06021v42026
Sentry: Learning to Recover from LLM Agent Failures at Test Time
Changxiu Ji, Amy Lu, Qizheng Zhang +1
cs.LGcs.AIcs.CLarXiv:2610.02994v12026
TSLANet: Rethinking Transformers for Time Series Representation Learning
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen +2
cs.LGstat.MLarXiv:2404.08472v22024
Dirac-Interconnected Neural Elements: Discovering Modularity in Physical Systems Without Reduction
Reiho Li, Razmik Arman Khosrovian, Takaharu Yaguchi +2
cs.LGarXiv:2610.02960v12026
Can contrastive learning avoid shortcut solutions?
Joshua Robinson, Li Sun, Ke Yu +3
cs.LGarXiv:2106.11230v32021
MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators
Yushi Huang, Xiangxin Zhou, Jun Zhang +2
cs.CVcs.LGarXiv:2607.15273v22026
Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation
Brett A. Becker, Paul Denny, James Finnie-Ansley +3
cs.HCcs.AIcs.CYarXiv:2212.01020v12022
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
cs.LGcs.AIarXiv:2102.05034v22021
GraphMAS: A Systematic Benchmark of Multi-Agent Coordination for Graph Learning
Jiayi Yang, Yifang Chen, Yuanfu Sun +2
cs.LGarXiv:2609.39777v12026
Functional anatomy of Pythia-Herwig differences with Kolmogorov-Arnold networks
Arghya Chattopadhyay
hep-phcs.LGarXiv:2608.15952v12026
The Why and How of Nonnegative Matrix Factorization
Nicolas Gillis
stat.MLcs.IRcs.LGarXiv:1401.5226v22014
Multi-lingual Evaluation of Code Generation Models
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang +22
cs.LGcs.CLarXiv:2210.14868v32022
Learning Visible Connectivity Dynamics for Cloth Smoothing
Xingyu Lin, Yufei Wang, Zixuan Huang +1
cs.ROcs.LGarXiv:2105.10389v42021
PAL: Proxy-Guided Black-Box Attack on Large Language Models
Chawin Sitawarin, Norman Mu, David Wagner +1
cs.CLcs.AIcs.CRarXiv:2402.09674v12024
Deep Active Learning over the Long Tail
Yonatan Geifman, Ran El-Yaniv
cs.LGarXiv:1711.00941v12017
MotiveMob: Motivation as Semantic Action for Closed-Loop Human Mobility Generation
Mengkun Gao, Zengqing Wu, Renhe Jiang +6
cs.LGarXiv:2610.11442v12026
Deep Fully-Connected Networks for Video Compressive Sensing
Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos
cs.CVcs.LGcs.MMarXiv:1603.04930v22016
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
stat.MLcs.LGarXiv:2105.06868v32021
Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO
Yiran Xu, Yiming Ren, Zicheng Lin +8
cs.LGcs.AIarXiv:2605.30789v32026

Machine Learning

Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model

Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs

ProteinBench: A Holistic Evaluation of Protein Foundation Models

Invariance of Clustering Operations in Causal Effect Identification

Length Desensitization in Direct Preference Optimization

Which Quantization Should I Use? A Unified Evaluation of llama.cpp Quantization on Llama-3.1-8B-Instruct

ULTRADISCOVERY: Abductive Exploration in an Interconnected, Epistemically Open Universe

Learning Invariant Representations with Local Transformations

Learning from Humans for Proactive Assistance in Human-Robot Collaborative Transport

QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE

Repulsive Deep Ensembles are Bayesian

From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence

Wasserstein Fair Classification

E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models

On Polynomial Time Methods for Exact Low Rank Tensor Completion

Lexical Perturbations Disrupt LLM Reasoning: An Empirical Study of Attention Diversion

Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance

CooperBench: Why Coding Agents Cannot be Your Teammates Yet

Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes

Masked Audio Generation using a Single Non-Autoregressive Transformer

Inductive Moment Matching

MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning

Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics

When Does Dense Retrieval Need Asymmetric Geometry? A Bias-Variance Theory of Shared and Dual Projections

OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning

CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Communicating Activations Between Language Model Agents

Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping

Discrete Flows: Invertible Generative Models of Discrete Data

Advantage of Sample Complexity in Quantum PAC Learning Requires Inverse Access to State-Preparation Unitaries

Semi-Tensor Product-Based Multi-Term Randomized T-SVD and Its Visual Applications

WebFovea: When the Model Is Right but the Click Is Wrong -- Reliable Round Trips for Vision-Based Web Agents on Live Websites

Understanding and Comparing Deep Neural Networks for Age and Gender Classification

Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey

Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data

Intriguing Properties of Vision Transformers

Equal Ranking Quality, Different Decisions: Training Order-Consistent LLM Scorers

Optimal Alternating Regret for Online Learning and Games

Transformers converge to invariant algorithmic cores

OPRD: On-Policy Representation Distillation

Sentry: Learning to Recover from LLM Agent Failures at Test Time

TSLANet: Rethinking Transformers for Time Series Representation Learning

Dirac-Interconnected Neural Elements: Discovering Modularity in Physical Systems Without Reduction

Can contrastive learning avoid shortcut solutions?

MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators

Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation

SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks

GraphMAS: A Systematic Benchmark of Multi-Agent Coordination for Graph Learning

Functional anatomy of Pythia-Herwig differences with Kolmogorov-Arnold networks

The Why and How of Nonnegative Matrix Factorization

Multi-lingual Evaluation of Code Generation Models

Learning Visible Connectivity Dynamics for Cloth Smoothing

PAL: Proxy-Guided Black-Box Attack on Large Language Models

Deep Active Learning over the Long Tail

MotiveMob: Motivation as Semantic Action for Closed-Loop Human Mobility Generation

Deep Fully-Connected Networks for Video Compressive Sensing

Priors in Bayesian Deep Learning: A Review

Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO