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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1,201 to 1,260 of 20,192

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
Xin Qiu, Yulu Gan, Conor F. Hayes +6
cs.LGcs.AIcs.NEarXiv:2509.24372v32025
VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models
Guochao Jiang, Wenfeng Feng, Guofeng Quan +4
cs.LGcs.CLarXiv:2509.19803v12025
Search Self-play: Pushing the Frontier of Agent Capability without Supervision
Hongliang Lu, Yuhang Wen, Pengyu Cheng +7
cs.LGarXiv:2510.18821v32025
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification
Yong Luo, Dacheng Tao, Chang Xu +3
stat.MLcs.CVcs.LGarXiv:1904.03921v12019
Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization
Nikita Kachaev, Mikhail Kolosov, Daniil Zelezetsky +2
cs.LGcs.AIcs.ROarXiv:2510.25616v12025
SimpleFold: Folding Proteins is Simpler than You Think
Yuyang Wang, Jiarui Lu, Navdeep Jaitly +2
cs.LGq-bio.QMarXiv:2509.18480v42025
Deep Residual Learning in the JPEG Transform Domain
Max Ehrlich, Larry Davis
cs.LGcs.CVstat.MLarXiv:1812.11690v32018
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben, Wouter Kool, Max B. Paulus +1
cs.LGstat.MLarXiv:2110.01515v22021
Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents
Guoqing Wang, Sunhao Dai, Guangze Ye +5
cs.CLcs.AIcs.LGarXiv:2510.14967v22025
Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
Thomas Beckers, Dana Kulić, Sandra Hirche
cs.LGeess.SYstat.MLarXiv:1806.07190v22018
DragFlow: Unleashing DiT Priors with Region Based Supervision for Drag Editing
Zihan Zhou, Shilin Lu, Shuli Leng +4
cs.CVcs.AIcs.LGarXiv:2510.02253v32025
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
Jayakrishnan Unnikrishnan, Venugopal Veeravalli
cs.NIcs.LGarXiv:0807.2677v42008
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
Boxin Wang, Chankyu Lee, Nayeon Lee +9
cs.CLcs.AIcs.LGarXiv:2512.13607v22025
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
Hongjin Su, Shizhe Diao, Ximing Lu +13
cs.CLcs.AIcs.LGarXiv:2511.21689v12025
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
Zhiyuan Zeng, Hamish Ivison, Yiping Wang +14
cs.CLcs.LGarXiv:2511.07317v22025
Eliciting Secret Knowledge from Language Models
Bartosz Cywiński, Emil Ryd, Rowan Wang +4
cs.LGarXiv:2510.01070v22025
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Jinghe Zhang, Kamran Kowsari, James H. Harrison +2
q-bio.QMcs.AIcs.IRarXiv:1810.04793v32018
Decision Trees for Decision-Making under the Predict-then-Optimize Framework
Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis
cs.LGmath.OCstat.MLarXiv:2003.00360v22020
LFM2 Technical Report
Alexander Amini, Anna Banaszak, Harold Benoit +30
cs.LGcs.AIarXiv:2511.23404v12025
Kalman Filtering with Intermittent Observations: Weak Convergence to a Stationary Distribution
Soummya Kar, Bruno Sinopoli, Jose M. F. Moura
cs.ITcs.LGmath.STarXiv:0903.2890v22009
FlowRL: Matching Reward Distributions for LLM Reasoning
Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang +20
cs.LGcs.AIcs.CLarXiv:2509.15207v32025
Monotonic Calibrated Interpolated Look-Up Tables
Maya Gupta, Andrew Cotter, Jan Pfeifer +5
cs.LGarXiv:1505.06378v32015
Inference Compilation and Universal Probabilistic Programming
Tuan Anh Le, Atilim Gunes Baydin, Frank Wood
cs.AIcs.LGstat.MLarXiv:1610.09900v22016
ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
Wonjun Kang, Kevin Galim, Seunghyuk Oh +8
cs.LGarXiv:2510.04767v22025
AlphaFlow: Understanding and Improving MeanFlow Models
Huijie Zhang, Aliaksandr Siarohin, Willi Menapace +4
cs.CVcs.LGarXiv:2510.20771v12025
Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training
Junkai Zhang, Zihao Wang, Lin Gui +7
cs.LGcs.AIarXiv:2509.21500v32025
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Shupeng Gui, Haotao Wang, Chen Yu +3
cs.LGstat.MLarXiv:1902.03538v32019
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
Jiawei Wang, Jiacai Liu, Yuqian Fu +7
cs.LGcs.CLarXiv:2509.09265v12025
Residual Off-Policy RL for Finetuning Behavior Cloning Policies
Lars Ankile, Zhenyu Jiang, Rocky Duan +3
cs.ROcs.LGarXiv:2509.19301v22025
Discovering Reinforcement Learning Algorithms
Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki +4
cs.LGcs.AIarXiv:2007.08794v32020
TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times
Jintao Zhang, Kaiwen Zheng, Kai Jiang +5
cs.CVcs.AIcs.LGarXiv:2512.16093v12025
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
Benjamin D. Haeffele, Rene Vidal
math.NAcs.LGstat.MLarXiv:1506.07540v12015
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks
Thilo Strauss, Markus Hanselmann, Andrej Junginger +1
stat.MLcs.LGarXiv:1709.03423v22017
Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization
Vage Egiazarian, Roberto L. Castro, Denis Kuznedelev +8
cs.LGarXiv:2509.23202v32025
AnyUp: Universal Feature Upsampling
Thomas Wimmer, Prune Truong, Marie-Julie Rakotosaona +4
cs.CVcs.LGarXiv:2510.12764v22025
Scaling laws for amplitude surrogates
Henning Bahl, Victor Bresó-Pla, Anja Butter +1
hep-phcs.LGarXiv:2601.13308v12026
IQP Born Machines under Data-dependent and Agnostic Initialization Strategies
Sacha Lerch, Joseph Bowles, Ricard Puig +3
quant-phcs.LGstat.MLarXiv:2603.14576v12026
OpenMAG: A Comprehensive Benchmark for Multimodal-Attributed Graph
Chenxi Wan, Xunkai Li, Yilong Zuo +6
cs.LGarXiv:2602.05576v12026
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
Qiantong Xu, Alexei Baevski, Michael Auli
cs.CLcs.LGcs.SDarXiv:2109.11680v12021
Sharp Bounds on the Approximation Rates, Metric Entropy, and $n$-widths of Shallow Neural Networks
Jonathan W. Siegel, Jinchao Xu
stat.MLcs.ITcs.LGarXiv:2101.12365v102021
Particle Filter Networks with Application to Visual Localization
Peter Karkus, David Hsu, Wee Sun Lee
cs.ROcs.AIcs.CVarXiv:1805.08975v32018
Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models
Boyi Deng, Xu Wang, Yaoning Wang +15
cs.CLcs.LGarXiv:2605.11887v12026
Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics
Jiawei Jiang, Dayan Pan, Houxing Ren +3
cs.LGarXiv:2211.09510v42022
Generating Long Videos of Dynamic Scenes
Brooks, Tim, Hellsten, Janne, Aittala, Miika +6
cs.CVcs.AIcs.LGarXiv:2206.03429v22022
Residual Energy-Based Models for Text Generation
Deng, Yuntian, Bakhtin, Anton, Ott, Myle +2
cs.CLcs.LGarXiv:2004.11714v12020
A Definition of AGI
Hendrycks, Dan, Song, Dawn, Szegedy, Christian +30
cs.AIcs.LGarXiv:2510.18212v32025
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Brandon Ballinger, Johnson Hsieh, Avesh Singh +8
cs.LGcs.AIstat.MLarXiv:1802.02511v12018
Recurrent Neural Network Transducer for Audio-Visual Speech Recognition
Takaki Makino, Hank Liao, Yannis Assael +4
eess.AScs.CLcs.CVarXiv:1911.04890v12019
Dynamic Pricing in High-dimensions
Adel Javanmard, Hamid Nazerzadeh
stat.MLcs.LGarXiv:1609.07574v42016
The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward
Long Li, Zhijian Zhou, Jiaran Hao +9
cs.LGcs.AIarXiv:2509.07430v42025
ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases
Ziqian Zhong, Aditi Raghunathan, Nicholas Carlini
cs.LGcs.CLarXiv:2510.20270v12025
Proof-Carrying Cognition: Closing the Verification Gap with Reality-Settled Reward
Eshwar Reddy M, Sourav Karmakar
cs.AIcs.LGarXiv:2609.09776v12026
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation
Yujun Zhou, Zhenwen Liang, Haolin Liu +7
cs.LGcs.CLarXiv:2509.15194v32025
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino, Franca Delmastro
cs.LGcs.AIarXiv:2209.06528v12022
Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Omer Gottesman, Fredrik Johansson, Joshua Meier +17
cs.LGstat.MLarXiv:1805.12298v12018
Artificial Intelligence Algorithms for the Detection of Pathologies Related to Lung Cancer through Image Analysis using Convolutional Neural Networks and Data Augmentation: a systematic mapping of the literature
Pablo Ramirez Amador
cs.LGcs.CLarXiv:2609.10652v12026
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Chujie Zheng, Kai Dang, Bowen Yu +10
cs.LGcs.AIcs.CLarXiv:2512.01374v32025
Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
Shuai Shao, Qihan Ren, Chen Qian +8
cs.AIcs.CLcs.LGarXiv:2509.26354v22025
Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
Miao Lu, Weiwei Sun, Weihua Du +4
cs.CLcs.AIcs.LGarXiv:2510.06727v12025
GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping
Jing Wang, Jiajun Liang, Jie Liu +10
cs.CVcs.LGarXiv:2510.22319v22025

Machine Learning

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning

VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models

Search Self-play: Pushing the Frontier of Agent Capability without Supervision

Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification

Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization

SimpleFold: Folding Proteins is Simpler than You Think

Deep Residual Learning in the JPEG Transform Domain

A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning

Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents

Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems

DragFlow: Unleashing DiT Priors with Region Based Supervision for Drag Editing

Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio

Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models

ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Eliciting Secret Knowledge from Language Models

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Decision Trees for Decision-Making under the Predict-then-Optimize Framework

LFM2 Technical Report

Kalman Filtering with Intermittent Observations: Weak Convergence to a Stationary Distribution

FlowRL: Matching Reward Distributions for LLM Reasoning

Monotonic Calibrated Interpolated Look-Up Tables

Inference Compilation and Universal Probabilistic Programming

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs

AlphaFlow: Understanding and Improving MeanFlow Models

Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training

Model Compression with Adversarial Robustness: A Unified Optimization Framework

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents

Residual Off-Policy RL for Finetuning Behavior Cloning Policies

Discovering Reinforcement Learning Algorithms

TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times

Global Optimality in Tensor Factorization, Deep Learning, and Beyond

Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks

Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization

AnyUp: Universal Feature Upsampling

Scaling laws for amplitude surrogates

IQP Born Machines under Data-dependent and Agnostic Initialization Strategies

OpenMAG: A Comprehensive Benchmark for Multimodal-Attributed Graph

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

Sharp Bounds on the Approximation Rates, Metric Entropy, and $n$-widths of Shallow Neural Networks

Particle Filter Networks with Application to Visual Localization

Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models

Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics

Generating Long Videos of Dynamic Scenes

Residual Energy-Based Models for Text Generation

A Definition of AGI

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

Recurrent Neural Network Transducer for Audio-Visual Speech Recognition

Dynamic Pricing in High-dimensions

The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward

ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases

Proof-Carrying Cognition: Closing the Verification Gap with Reality-Settled Reward

Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation

Explainable AI for clinical and remote health applications: a survey on tabular and time series data

Evaluating Reinforcement Learning Algorithms in Observational Health Settings

Artificial Intelligence Algorithms for the Detection of Pathologies Related to Lung Cancer through Image Analysis using Convolutional Neural Networks and Data Augmentation: a systematic mapping of the literature

Stabilizing Reinforcement Learning with LLMs: Formulation and Practices

Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents

Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management

GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping