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.

Search paper metadata (including unsummarized papers)

661 to 720 of 20,454

Transition Matching Distillation for Fast Video Generation
Weili Nie, Julius Berner, Nanye Ma +3
cs.CVcs.AIcs.LGarXiv:2601.09881v22026
MirrorBench: A Benchmark to Evaluate Conversational User-Proxy Agents for Human-Likeness
Ashutosh Hathidara, Julien Yu, Vaishali Senthil +2
cs.AIcs.LGarXiv:2601.08118v32026
Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs
Luka Ribar, Jeevan Bhoot, Douglas Orr
cs.CVcs.LGarXiv:2608.21134v12026
Comparison of Bayesian predictive methods for model selection
Juho Piironen, Aki Vehtari
stat.MEcs.LGarXiv:1503.08650v42015
CDRL: Certification-Driven Reinforcement Learning for Neutrino Flavor Model Discovery
Piyush Jha, Jake Rudolph, Victoria Knapp-Pérez +3
cs.AIcs.LGcs.LOarXiv:2608.20686v12026
The Principles of Diffusion Models
Chieh-Hsin Lai, Yang Song, Dongjun Kim +2
cs.LGcs.AIcs.GRarXiv:2510.21890v32025
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho +1
cs.NEcs.LGstat.MLarXiv:1412.1602v12014
What is Missing from AI Post-Training AI: An Empirical Analysis
Joy Jia Yin Lim, Xin Huang, Hao Peng +5
cs.AIcs.CLcs.LGarXiv:2608.19072v12026
Flama: a Python framework for development and deployment of production-ready APIs, machine learning, and LLM services
José A. Perdiguero López, Miguel A. Durán-Olivencia
cs.SEcs.AIcs.LGarXiv:2608.18733v12026
Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models
Pardis Taghavi, Reza Langari, Gaurav Pandey
cs.CVcs.AIcs.LGarXiv:2608.18484v12026
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
Jeremy M. Cohen, Simran Kaur, Yuanzhi Li +2
cs.LGstat.MLarXiv:2103.00065v32021
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
Nikhil Keetha, Norman Müller, Johannes Schönberger +14
cs.CVcs.AIcs.LGarXiv:2509.13414v32025
A Survey of Reinforcement Learning for Large Reasoning Models
Kaiyan Zhang, Yuxin Zuo, Bingxiang He +36
cs.CLcs.AIcs.LGarXiv:2509.08827v32025
Deep Think with Confidence
Yichao Fu, Xuewei Wang, Yuandong Tian +1
cs.LGarXiv:2508.15260v12025
Degradation-Aligned Self-Supervised Learning for State of Health Estimation of Lithium-Ion Batteries under Label Sparsity
Jiaqi Yao, Julia Kowal
eess.SPcs.AIcs.LGarXiv:2608.16612v12026
Discrete Diffusion in Large Language and Multimodal Models: A Survey
Runpeng Yu, Qi Li, Xinchao Wang
cs.LGcs.AIarXiv:2506.13759v52025
AlphaEvolve: A coding agent for scientific and algorithmic discovery
Alexander Novikov, Ngân Vũ, Marvin Eisenberger +15
cs.AIcs.LGcs.NEarXiv:2506.13131v12025
Semi-supervised clustering methods
Eric Bair
stat.MEcs.LGstat.MLarXiv:1307.0252v12013
Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks
Philippe Schwaller, Daniel Probst, Alain C. Vaucher +4
physics.chem-phcs.CLcs.LGarXiv:2012.06051v12020
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard, Andrea Montanari
stat.MEcs.ITcs.LGarXiv:1306.3171v22013
J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
Chenxi Whitehouse, Tianlu Wang, Ping Yu +4
cs.CLcs.AIcs.LGarXiv:2505.10320v32025
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Andrew Zhao, Yiran Wu, Yang Yue +8
cs.LGcs.AIcs.CLarXiv:2505.03335v32025
Measuring Structured Predictability in Neural Training Dynamics: A Cross-Regime Study
Fanqi Wang, Weisheng Tang, Hairong Qi
cs.LGarXiv:2608.15483v12026
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
cs.CLcs.LGstat.MLarXiv:2010.00577v32020
A Survey on Multi-view Learning
Chang Xu, Dacheng Tao, Chao Xu
cs.LGarXiv:1304.5634v12013
Language models suffer from a curse of ambiguity
Nicolas Zucchet, Hyun Dong Lee, Scott Linderman
cs.CLcs.LGcs.NEarXiv:2608.15448v12026
Contrastive Self-supervised Learning for Graph Classification
Jiaqi Zeng, Pengtao Xie
cs.LGstat.MLarXiv:2009.05923v12020
Diagnosing and Mitigating Perception-Decision Misalignment in Omni-LLMs via Modality Subspace Activation
Hongbo Jiang, Jie Li, Yunhang Shen +2
cs.LGcs.CVarXiv:2608.14655v12026
Calibrated Trust, Not Sharper Prediction: An Empirical Test of Uncertainty Fusion
Surya Saka
cs.LGcs.AIcs.CLarXiv:2608.14617v12026
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Zhichao Lu, Kalyanmoy Deb, Erik Goodman +2
cs.CVcs.LGcs.NEarXiv:2007.10396v12020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim, Youngbum Hur, Sejun Park +3
cs.LGstat.MLarXiv:2007.08844v22020
CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation
Hamza Shafiq, Hung Manh Pham, Bin Zhu +3
cs.LGeess.IVstat.MLarXiv:2608.12944v12026
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Laurent Valentin Jospin, Wray Buntine, Farid Boussaid +2
cs.LGstat.MLarXiv:2007.06823v32020
Multiscale Simulations of Complex Systems by Learning their Effective Dynamics
Pantelis R. Vlachas, Georgios Arampatzis, Caroline Uhler +1
physics.comp-phcs.LGnlin.CDarXiv:2006.13431v32020
A Bayesian Approach to Robust Inverse Reinforcement Learning
Ran Wei, Siliang Zeng, Chenliang Li +3
cs.LGarXiv:2309.08571v22023
TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs
Yuxiang Zhang, Zhengxu Yu, Weihang Pan +5
cs.LGcs.AIarXiv:2511.13223v12025
TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
Shanghua Gao, Richard Zhu, Zhenglun Kong +5
cs.AIcs.LGarXiv:2503.10970v12025
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Sai Praneeth Karimireddy, Lie He, Martin Jaggi
cs.LGstat.MLarXiv:2006.09365v62020
Training Generative Adversarial Networks with Limited Data
Tero Karras, Miika Aittala, Janne Hellsten +3
cs.CVcs.LGcs.NEarXiv:2006.06676v22020
Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities
Sreyan Ghosh, Zhifeng Kong, Sonal Kumar +6
cs.SDcs.CLcs.LGarXiv:2503.03983v12025
Deep Learning is Not So Mysterious or Different
Andrew Gordon Wilson
cs.LGstat.MLarXiv:2503.02113v22025
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus +9
cs.CLcs.LGarXiv:2005.11401v42020
Summaries:한국어
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
Shaobo Wang, Yicun Yang, Zhiyuan Liu +4
cs.CVcs.AIcs.LGarXiv:2502.20653v12025
Summaries:한국어
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Harrish Thasarathan, Julian Forsyth, Thomas Fel +2
cs.CVcs.LGarXiv:2502.03714v22025
Maximum Density Divergence for Domain Adaptation
Li Jingjing, Chen Erpeng, Ding Zhengming +3
cs.CVcs.LGcs.MMarXiv:2004.12615v12020
Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models
Junlin Fang, Do Nguyen-Thanh, Xiaogang Xu +2
cs.AIcs.LGarXiv:2607.22098v12026
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman +3
cs.CVcs.LGarXiv:2001.03152v22020
Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback
Yucheng Zhou, Lingran Song, Jianbing Shen
cs.CLcs.AIcs.CVarXiv:2501.01377v22025
Frontier Models are Capable of In-context Scheming
Alexander Meinke, Bronson Schoen, Jérémy Scheurer +3
cs.AIcs.LGarXiv:2412.04984v22024
Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training
Zijian Zhang, Rizhen Hu, Athanasios Glentis +4
cs.LGcs.CLarXiv:2607.01232v22026
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Wensi Tang, Guodong Long, Lu Liu +3
cs.LGstat.MLarXiv:2002.10061v32020
Beyond IID: How General Are Tabular Foundation Models, Really?
Lennart Purucker, Andrej Tschalzev, Nick Erickson +7
cs.LGcs.AIarXiv:2606.30410v12026
Summaries:한국어
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
Joseph D. Janizek, Pascal Sturmfels, Su-In Lee
cs.LGstat.MLarXiv:2002.04138v32020
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation
Shaowei Liu, Zhongzheng Ren, Saurabh Gupta +1
cs.CVcs.AIcs.LGarXiv:2409.18964v12024
LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts
Yijia Xiao, Edward Sun, Tianyu Liu +1
cs.AIcs.CLcs.CVarXiv:2407.04973v12024
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Xin Lai, Zhuotao Tian, Yukang Chen +3
cs.LGcs.AIcs.CLarXiv:2406.18629v12024
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
John Yang, Carlos E. Jimenez, Alexander Wettig +4
cs.SEcs.AIcs.CLarXiv:2405.15793v32024
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
Yuge Shi, N. Siddharth, Brooks Paige +1
stat.MLcs.LGarXiv:1911.03393v12019
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel +1
cs.NEcs.LGq-bio.NCarXiv:1910.07407v32019
CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression
Morayo Danielle Adeyemi, Ryan A. Rossi, Franck Dernoncourt
cs.CLcs.AIcs.LGarXiv:2606.24083v12026

Machine Learning

Transition Matching Distillation for Fast Video Generation

MirrorBench: A Benchmark to Evaluate Conversational User-Proxy Agents for Human-Likeness

Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs

Comparison of Bayesian predictive methods for model selection

CDRL: Certification-Driven Reinforcement Learning for Neutrino Flavor Model Discovery

The Principles of Diffusion Models

End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results

What is Missing from AI Post-Training AI: An Empirical Analysis

Flama: a Python framework for development and deployment of production-ready APIs, machine learning, and LLM services

Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models

Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

A Survey of Reinforcement Learning for Large Reasoning Models

Deep Think with Confidence

Degradation-Aligned Self-Supervised Learning for State of Health Estimation of Lithium-Ion Batteries under Label Sparsity

Discrete Diffusion in Large Language and Multimodal Models: A Survey

AlphaEvolve: A coding agent for scientific and algorithmic discovery

Semi-supervised clustering methods

Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks

Confidence Intervals and Hypothesis Testing for High-Dimensional Regression

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Measuring Structured Predictability in Neural Training Dynamics: A Cross-Regime Study

Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

A Survey on Multi-view Learning

Language models suffer from a curse of ambiguity

Contrastive Self-supervised Learning for Graph Classification

Diagnosing and Mitigating Perception-Decision Misalignment in Omni-LLMs via Modality Subspace Activation

Calibrated Trust, Not Sharper Prediction: An Empirical Test of Uncertainty Fusion

NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning

CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation

Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

Multiscale Simulations of Complex Systems by Learning their Effective Dynamics

A Bayesian Approach to Robust Inverse Reinforcement Learning

TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools

Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Training Generative Adversarial Networks with Limited Data

Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities

Deep Learning is Not So Mysterious or Different

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Dataset Distillation with Neural Characteristic Function: A Minmax Perspective

Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment

Maximum Density Divergence for Domain Adaptation

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias

Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback

Frontier Models are Capable of In-context Scheming

Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training

Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification

Beyond IID: How General Are Tabular Foundation Models, Really?

Explaining Explanations: Axiomatic Feature Interactions for Deep Networks

PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation

LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks

CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression