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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7,141 to 7,200 of 20,199

Simple Contrastive Graph Clustering
Yue Liu, Xihong Yang, Sihang Zhou +1
cs.LGcs.AIarXiv:2205.07865v32022
Flexible Entropy Control in RLVR with a Gradient-Preserving Perspective
Kun Chen, Peng Shi, Fanfan Liu +4
cs.LGcs.AIcs.CLarXiv:2602.09782v22026
Trust The Typical
Debargha Ganguly, Sreehari Sankar, Biyao Zhang +8
cs.CLcs.AIcs.DCarXiv:2602.04581v12026
Does "AI" stand for augmenting inequality in the era of covid-19 healthcare?
David Leslie, Anjali Mazumder, Aidan Peppin +2
cs.CYcs.LGarXiv:2105.07844v12021
Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions
Mohamad Abou Ali, Fadi Dornaika
cs.AIcs.LGarXiv:2510.25445v12025
Context Learning for Multi-Agent Discussion
Xingyuan Hua, Sheng Yue, Xinyi Li +3
cs.AIcs.LGcs.MAarXiv:2602.02350v32026
Steering LLMs via Scalable Interactive Oversight
Enyu Zhou, Zhiheng Xi, Long Ma +9
cs.AIcs.LGarXiv:2602.04210v22026
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
Ran Xu, Tianci Liu, Zihan Dong +6
cs.CLcs.LGarXiv:2602.01511v22026
Multi-agent Architecture Search via Agentic Supernet
Guibin Zhang, Luyang Niu, Junfeng Fang +3
cs.LGcs.CLcs.MAarXiv:2502.04180v22025
FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale
Ajay Patel, Colin Raffel, Chris Callison-Burch
cs.CLcs.LGarXiv:2601.22146v32026
InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning
Matthew Y. R. Yang, Hao Bai, Ian Wu +3
cs.LGcs.AIcs.CLarXiv:2601.14209v12026
Introduction to Machine Learning
Laurent Younes
stat.MLcs.LGarXiv:2409.02668v22024
LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
Joon Sung Park, Carolyn Q. Zou, Jonne Kamphorst +8
cs.AIcs.HCcs.LGarXiv:2411.10109v32024
Taming Visually Guided Sound Generation
Vladimir Iashin, Esa Rahtu
cs.CVcs.AIcs.LGarXiv:2110.08791v12021
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning
Juan Diego Toscano, Vivek Oommen, Alan John Varghese +4
cs.LGcs.AIphysics.comp-pharXiv:2410.13228v22024
A Survey on Diffusion Models for Inverse Problems
Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai +5
cs.LGcs.AIcs.CVarXiv:2410.00083v12024
Simple and Effective Masked Diffusion Language Models
Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff +5
cs.CLcs.AIcs.LGarXiv:2406.07524v22024
RewardBench: Evaluating Reward Models for Language Modeling
Nathan Lambert, Valentina Pyatkin, Jacob Morrison +9
cs.LGarXiv:2403.13787v22024
Keeping it Simple: Language Models can learn Complex Molecular Distributions
Daniel Flam-Shepherd, Kevin Zhu, Alán Aspuru-Guzik
cs.LGcs.AIq-bio.QMarXiv:2112.03041v12021
Momentum Improves Normalized SGD
Ashok Cutkosky, Harsh Mehta
cs.LGmath.OCstat.MLarXiv:2002.03305v22020
Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling
Vitaly Feldman, Audra McMillan, Kunal Talwar
cs.LGcs.CRcs.DSarXiv:2012.12803v32020
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Xubin Wang, Zhiqing Tang, Jianxiong Guo +4
cs.AIcs.LGcs.NIarXiv:2503.06027v22025
Photorealistic Video Generation with Diffusion Models
Agrim Gupta, Lijun Yu, Kihyuk Sohn +6
cs.CVcs.AIcs.LGarXiv:2312.06662v12023
Generative Adversarial Networks: A Survey Towards Private and Secure Applications
Zhipeng Cai, Zuobin Xiong, Honghui Xu +3
cs.LGcs.CRarXiv:2106.03785v12021
Towards Understanding Sycophancy in Language Models
Mrinank Sharma, Meg Tong, Tomasz Korbak +16
cs.CLcs.AIcs.LGarXiv:2310.13548v42023
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Ming Jin, Yu Zheng, Yuan-Fang Li +3
cs.LGarXiv:2202.08408v22022
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
Dongzhi Jiang, Ziyu Guo, Renrui Zhang +6
cs.CVcs.AIcs.CLarXiv:2505.00703v22025
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong, Thomas Bäck, Anna V. Kononova +1
cs.LGcs.AIcs.MAarXiv:2106.15691v22021
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
Yangjun Ruan, Honghua Dong, Andrew Wang +6
cs.AIcs.CLcs.LGarXiv:2309.15817v22023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao +6
cs.LGcs.AIcs.CVarXiv:2310.02279v32023
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
Patrick Butlin, Robert Long, Eric Elmoznino +16
cs.AIcs.CYcs.LGarXiv:2308.08708v32023
Self-Consuming Generative Models Go MAD
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi +5
cs.LGcs.AIcs.CVarXiv:2307.01850v12023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
cs.LGcond-mat.dis-nnmath.PRarXiv:2303.08797v42023
Consistency Models
Yang Song, Prafulla Dhariwal, Mark Chen +1
cs.LGcs.CVstat.MLarXiv:2303.01469v22023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy
Natalia Ponomareva, Hussein Hazimeh, Alex Kurakin +6
cs.LGcs.CRstat.MLarXiv:2303.00654v32023
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports
Katharina Jeblick, Balthasar Schachtner, Jakob Dexl +8
cs.CLcs.LGarXiv:2212.14882v12022
Dataless Knowledge Fusion by Merging Weights of Language Models
Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro +1
cs.CLcs.LGarXiv:2212.09849v62022
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research
AKM Bahalul Haque, A. K. M. Najmul Islam, Patrick Mikalef
cs.AIcs.LGarXiv:2211.15343v12022
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao, Jeffrey Zhao, Dian Yu +4
cs.CLcs.AIcs.LGarXiv:2210.03629v32022
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
Zhipeng Chen, Xiaobo Qin, Youbin Wu +4
cs.LGcs.AIcs.CLarXiv:2508.10751v12025
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang, Zhilong Zhang, Yang Song +6
cs.LGcs.AIcs.CVarXiv:2209.00796v152022
Music Source Separation with Band-split RNN
Yi Luo, Jianwei Yu
eess.AScs.LGcs.SDarXiv:2209.15174v12022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
Adam Thelen, Xiaoge Zhang, Olga Fink +7
cs.CEcs.AIcs.LGarXiv:2208.14197v22022
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
Fernando Gama, Elvin Isufi, Geert Leus +1
cs.LGeess.SYstat.MLarXiv:2003.03777v52020
State of the Art on Diffusion Models for Visual Computing
Ryan Po, Wang Yifan, Vladislav Golyanik +15
cs.AIcs.CVcs.GRarXiv:2310.07204v12023
Streaming 4D Visual Geometry Transformer
Dong Zhuo, Wenzhao Zheng, Jiahe Guo +3
cs.CVcs.AIcs.LGarXiv:2507.11539v22025
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas +21
cs.LGcs.CRcs.DCarXiv:2007.10987v12020
Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs
Jan Betley, Daniel Tan, Niels Warncke +5
cs.CLcs.AIcs.CRarXiv:2502.17424v72025
Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
Yinan Zheng, Ruiming Liang, Kexin Zheng +8
cs.ROcs.AIcs.LGarXiv:2501.15564v22025
Personalized Speech recognition on mobile devices
Ian McGraw, Rohit Prabhavalkar, Raziel Alvarez +8
cs.CLcs.LGcs.SDarXiv:1603.03185v22016
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences
Scott Sanner, Krisztian Balog, Filip Radlinski +2
cs.IRcs.LGarXiv:2307.14225v12023
Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces
Jing Wang, Shuaiqiang Liu, Cornelis Vuik
q-fin.CPcs.AIcs.LGarXiv:2609.00332v12026
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao, Tess Smidt
cs.LGcs.AIphysics.comp-pharXiv:2206.11990v22022
GLIPv2: Unifying Localization and Vision-Language Understanding
Haotian Zhang, Pengchuan Zhang, Xiaowei Hu +7
cs.CVcs.AIcs.CLarXiv:2206.05836v22022
Optimizing Quantum Error Correction Codes with Reinforcement Learning
Hendrik Poulsen Nautrup, Nicolas Delfosse, Vedran Dunjko +2
quant-phcs.AIcs.LGarXiv:1812.08451v52018
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Tri Dao, Daniel Y. Fu, Stefano Ermon +2
cs.LGarXiv:2205.14135v22022
Summaries:한국어
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
Chi-Pin Huang, Yueh-Hua Wu, Min-Hung Chen +2
cs.CVcs.AIcs.LGarXiv:2507.16815v22025
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
Can Cui, Haichun Yang, Yaohong Wang +6
cs.LGcs.AIcs.CVarXiv:2203.15588v32022
TWIST: Teleoperated Whole-Body Imitation System
Yanjie Ze, Zixuan Chen, João Pedro Araújo +4
cs.ROcs.CVcs.LGarXiv:2505.02833v12025
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
Liang Gao, Huazhu Fu, Li Li +3
cs.LGcs.AIarXiv:2203.11751v12022

Machine Learning

Simple Contrastive Graph Clustering

Flexible Entropy Control in RLVR with a Gradient-Preserving Perspective

Trust The Typical

Does "AI" stand for augmenting inequality in the era of covid-19 healthcare?

Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions

Context Learning for Multi-Agent Discussion

Steering LLMs via Scalable Interactive Oversight

Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training

Multi-agent Architecture Search via Agentic Supernet

FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale

InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning

Introduction to Machine Learning

LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Taming Visually Guided Sound Generation

From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning

A Survey on Diffusion Models for Inverse Problems

Simple and Effective Masked Diffusion Language Models

RewardBench: Evaluating Reward Models for Language Modeling

Keeping it Simple: Language Models can learn Complex Molecular Distributions

Momentum Improves Normalized SGD

Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling

Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models

Photorealistic Video Generation with Diffusion Models

Generative Adversarial Networks: A Survey Towards Private and Secure Applications

Towards Understanding Sycophancy in Language Models

Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Deep Multiagent Reinforcement Learning: Challenges and Directions

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

Self-Consuming Generative Models Go MAD

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Consistency Models

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports

Dataless Knowledge Fusion by Merging Weights of Language Models

Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research

ReAct: Synergizing Reasoning and Acting in Language Models

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Diffusion Models: A Comprehensive Survey of Methods and Applications

Music Source Separation with Band-split RNN

A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks

State of the Art on Diffusion Models for Visual Computing

Streaming 4D Visual Geometry Transformer

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs

Diffusion-Based Planning for Autonomous Driving with Flexible Guidance

Personalized Speech recognition on mobile devices

Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences

Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces

Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

GLIPv2: Unifying Localization and Vision-Language Understanding

Optimizing Quantum Error Correction Codes with Reinforcement Learning

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review

TWIST: Teleoperated Whole-Body Imitation System

FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction