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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25,981 to 26,040 of 33,179

Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs
Ziqian Zhong, Aditi Raghunathan
cs.LGcs.CLarXiv:2508.00161v32025
EEGAgentBench: Benchmarking LLM Agents on Short- and Long-Horizon EEG Analysis
Huyu Wu, Weining Weng, Yuchen Liu +2
cs.LGarXiv:2609.31632v12026
Consistency of trace norm minimization
Francis Bach
cs.LGarXiv:0710.2848v12007
DiGress: Discrete Denoising diffusion for graph generation
Clement Vignac, Igor Krawczuk, Antoine Siraudin +3
cs.LGarXiv:2209.14734v42022
Hallucination Mitigation for Large Vision-Language Models via Implicit Feature Stabilization
Aditi Sarker, Rafi Ibn Sultan, Hui Zhu +2
cs.CVcs.AIcs.LGarXiv:2608.29924v12026
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research
Veda C. Storey, Wei Thoo Yue, J. Leon Zhao +1
cs.CYcs.AIcs.LGarXiv:2503.05770v12025
On the Convergence of FedAvg on Non-IID Data
Xiang Li, Kaixuan Huang, Wenhao Yang +2
stat.MLcs.LGmath.OCarXiv:1907.02189v42019
Who Said What: Modeling Individual Labelers Improves Classification
Melody Y. Guan, Varun Gulshan, Andrew M. Dai +1
cs.LGcs.CVarXiv:1703.08774v22017
Replay in the Silent Degrees of Freedom: Continual Learning Without an Offline Phase
Yanhai Zhang, Jie Zhang, Chi Xu
cs.LGcs.NEstat.MLarXiv:2609.31630v22026
Synthetic Data -- Anonymisation Groundhog Day
Theresa Stadler, Bristena Oprisanu, Carmela Troncoso
cs.LGcs.CRarXiv:2011.07018v62020
Deep Activity Recognition Models with Triaxial Accelerometers
Mohammad Abu Alsheikh, Ahmed Selim, Dusit Niyato +3
cs.LGcs.HCcs.NEarXiv:1511.04664v22015
Multi-task learning for the automatic grading of enlarged perivascular space burden using MRI
Jesse Phitidis, William N. Whiteley, Joanna M. Wardlaw +11
cs.CVcs.LGarXiv:2609.37387v12026
FC-SWE: Failure-Conditioned RL for Long-Horizon Software Engineering Agents
Jia Liufu, Bin Hu, Linglin Jing +5
cs.LGcs.SEarXiv:2610.07898v12026
On the Practical Computational Power of Finite Precision RNNs for Language Recognition
Gail Weiss, Yoav Goldberg, Eran Yahav
cs.LGcs.CLstat.MLarXiv:1805.04908v12018
imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose
Thiemo Alldieck, Hongyi Xu, Cristian Sminchisescu
cs.CVcs.LGarXiv:2108.10842v12021
Linear unit-tests for invariance discovery
Benjamin Aubin, Agnieszka Słowik, Martin Arjovsky +2
cs.LGcs.AIarXiv:2102.10867v12021
Interpretability via Model Extraction
Osbert Bastani, Carolyn Kim, Hamsa Bastani
cs.LGcs.CYstat.MLarXiv:1706.09773v42017
Label-Efficient Deep Learning for ECG Delineation: A Multi-Dataset Benchmark against Widely Used Delineation Tools
Jeonghwa Lim, Minje Park, Yeongyeon Na +6
cs.LGcs.AIcs.CVarXiv:2610.07885v12026
Why Transformers Need Adam: A Hessian Perspective
Yushun Zhang, Congliang Chen, Tian Ding +3
cs.LGcs.AIarXiv:2402.16788v42024
LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale
Francesco Mantegna, Dulhan Jayalath, Gereon Elvers +12
cs.LGcs.CLarXiv:2608.25204v12026
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
Huayu Chen, Cheng Lu, Chengyang Ying +2
cs.LGarXiv:2209.14548v22022
Dion: Distributed Orthonormalized Updates
Kwangjun Ahn, Byron Xu, Natalie Abreu +5
cs.LGcs.AImath.OCarXiv:2504.05295v32025
A review on Deep Reinforcement Learning for Fluid Mechanics
Paul Garnier, Jonathan Viquerat, Jean Rabault +3
physics.comp-phcs.LGphysics.flu-dynarXiv:1908.04127v22019
Uniform Sampling for Matrix Approximation
Michael B. Cohen, Yin Tat Lee, Cameron Musco +3
cs.DScs.LGstat.MLarXiv:1408.5099v12014
AFA-Net: A Differential Attention Approach for Auditory Attention Detection
Philip H. Lee, Shreeram Suresh Chandra, Karan Thakkar +1
cs.SDcs.LGeess.SParXiv:2609.31402v12026
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion
Tairan He, Chong Zhang, Wenli Xiao +3
cs.ROcs.AIcs.CVarXiv:2401.17583v32024
Learning Deep Networks from Noisy Labels with Dropout Regularization
Ishan Jindal, Matthew Nokleby, Xuewen Chen
cs.CVcs.LGstat.MLarXiv:1705.03419v12017
Bridging Body and Brain: Gene-Driven Morphology--Control Co-Design
Fu Feng, Ruixiao Shi, Yucheng Xie +2
cs.LGarXiv:2609.31329v12026
Eurekaverse: Environment Curriculum Generation via Large Language Models
William Liang, Sam Wang, Hung-Ju Wang +3
cs.ROcs.AIcs.LGarXiv:2411.01775v12024
Scen-Opt: A Scenario Optimization Toolbox for Data-Driven Convex Programming
Ben Wooding, Simone Garatti, Marco C. Campi +1
cs.MScs.LGcs.SYarXiv:2610.07846v12026
The Surprising Effectiveness of Shared Memory in Looped Transformers
Giovanni Monea, Keshav Ramji, Yousef El-Kurdi +4
cs.LGcs.AIarXiv:2610.02383v12026
Forgetting, plasticity, and co-observation: a third facet of continual learning
Timm Hess, Abhishek Jha, Gido M. van de Ven +1
cs.LGcs.AIarXiv:2608.18803v12026
Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation
Yutszyuk Wong, Wentai Wu, Yuen-Ying Yeung +1
cs.LGcs.AIarXiv:2605.10988v12026
Is Mamba Effective for Time Series Forecasting?
Zihan Wang, Fanheng Kong, Shi Feng +5
cs.LGarXiv:2403.11144v32024
Domain and Function: A Dual-Space Model of Semantic Relations and Compositions
Peter D. Turney
cs.CLcs.AIcs.LGarXiv:1309.4035v12013
PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers
Yanlong Chen, Yining Chen, Song Zhang +2
cs.AIcs.LGarXiv:2609.32429v12026
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Titas Anciukevičius, Zexiang Xu, Matthew Fisher +4
cs.CVcs.LGarXiv:2211.09869v42022
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
Xiangfei Qiu, Xingjian Wu, Yan Lin +3
cs.LGstat.MLarXiv:2412.10859v32024
Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization
Po-Yu Chen, Ivan W. Selesnick
cs.CVcs.LGstat.MLarXiv:1308.5038v22013
CANDLE: Cortical Null-Space Decomposition for Noninvasive Brain Source Imaging
Shuntaro Suzuki, Yuiga Wada, Komei Sugiura
cs.LGeess.SPq-bio.NCarXiv:2610.07824v12026
Scalable Kernel Methods via Doubly Stochastic Gradients
Bo Dai, Bo Xie, Niao He +4
cs.LGstat.MLarXiv:1407.5599v42014
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Anja Surina, Amin Mansouri, Lars Quaedvlieg +4
cs.AIcs.LGcs.NEarXiv:2504.05108v42025
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
Dongchan Min, Dong Bok Lee, Eunho Yang +1
eess.AScs.CLcs.LGarXiv:2106.03153v32021
Scalable Differentiable Physics for Learning and Control
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun +1
cs.LGcs.GRstat.MLarXiv:2007.02168v12020
Causal Discovery in Physical Systems from Videos
Yunzhu Li, Antonio Torralba, Animashree Anandkumar +2
cs.LGcs.CVstat.MLarXiv:2007.00631v32020
Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents
Abolfazl Younesi
cs.AIcs.DCcs.ETarXiv:2610.07816v12026
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira +3
cs.CVcs.CRcs.LGarXiv:1811.09600v32018
Adversarial Attacks on Node Embeddings via Graph Poisoning
Aleksandar Bojchevski, Stephan Günnemann
cs.LGcs.CRcs.SIarXiv:1809.01093v32018
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
Angelika Ando, Spyros Gidaris, Andrei Bursuc +3
cs.CVcs.AIcs.LGarXiv:2301.10222v22023
On Constrained Spectral Clustering and Its Applications
Xiang Wang, Buyue Qian, Ian Davidson
cs.LGstat.MLarXiv:1201.5338v22012
LSQ+: Improving low-bit quantization through learnable offsets and better initialization
Yash Bhalgat, Jinwon Lee, Markus Nagel +2
cs.CVcs.LGstat.MLarXiv:2004.09576v12020
Navigation World Models
Amir Bar, Gaoyue Zhou, Danny Tran +2
cs.CVcs.AIcs.LGarXiv:2412.03572v22024
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
Andy Zhou, Bo Li, Haohan Wang
cs.LGcs.AIcs.CLarXiv:2401.17263v52024
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
Oron Anschel, Nir Baram, Nahum Shimkin
cs.AIcs.LGstat.MLarXiv:1611.01929v42016
Reward Hacking Challenges Oversight of Autonomous Research Agents
Yue Huang, Zhangchen Xu, Yuchen Ma +12
cs.CLcs.LGarXiv:2609.28614v12026
VeLO: Training Versatile Learned Optimizers by Scaling Up
Luke Metz, James Harrison, C. Daniel Freeman +8
cs.LGmath.OCstat.MLarXiv:2211.09760v12022
HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
Benjamin Sturgeon, Daniel Samuelson, Jacob Haimes +1
cs.CYcs.AIcs.CLarXiv:2509.08494v22025
Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning
Madelaine Martinez-Ferguson, Chun Wang, Mustafa Can Camur +1
cs.ETcs.LGarXiv:2608.25193v12026
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Oded Ovadia, Menachem Brief, Moshik Mishaeli +1
cs.AIcs.CLcs.LGarXiv:2312.05934v32023
Large Language Models for Code: Security Hardening and Adversarial Testing
Jingxuan He, Martin Vechev
cs.CRcs.LGcs.PLarXiv:2302.05319v52023

Machine Learning

Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs

EEGAgentBench: Benchmarking LLM Agents on Short- and Long-Horizon EEG Analysis

Consistency of trace norm minimization

DiGress: Discrete Denoising diffusion for graph generation

Hallucination Mitigation for Large Vision-Language Models via Implicit Feature Stabilization

Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research

On the Convergence of FedAvg on Non-IID Data

Who Said What: Modeling Individual Labelers Improves Classification

Replay in the Silent Degrees of Freedom: Continual Learning Without an Offline Phase

Synthetic Data -- Anonymisation Groundhog Day

Deep Activity Recognition Models with Triaxial Accelerometers

Multi-task learning for the automatic grading of enlarged perivascular space burden using MRI

FC-SWE: Failure-Conditioned RL for Long-Horizon Software Engineering Agents

On the Practical Computational Power of Finite Precision RNNs for Language Recognition

imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose

Linear unit-tests for invariance discovery

Interpretability via Model Extraction

Label-Efficient Deep Learning for ECG Delineation: A Multi-Dataset Benchmark against Widely Used Delineation Tools

Why Transformers Need Adam: A Hessian Perspective

LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

Dion: Distributed Orthonormalized Updates

A review on Deep Reinforcement Learning for Fluid Mechanics

Uniform Sampling for Matrix Approximation

AFA-Net: A Differential Attention Approach for Auditory Attention Detection

Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion

Learning Deep Networks from Noisy Labels with Dropout Regularization

Bridging Body and Brain: Gene-Driven Morphology--Control Co-Design

Eurekaverse: Environment Curriculum Generation via Large Language Models

Scen-Opt: A Scenario Optimization Toolbox for Data-Driven Convex Programming

The Surprising Effectiveness of Shared Memory in Looped Transformers

Forgetting, plasticity, and co-observation: a third facet of continual learning

Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation

Is Mamba Effective for Time Series Forecasting?

Domain and Function: A Dual-Space Model of Semantic Relations and Compositions

PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization

CANDLE: Cortical Null-Space Decomposition for Noninvasive Brain Source Imaging

Scalable Kernel Methods via Doubly Stochastic Gradients

Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

Scalable Differentiable Physics for Learning and Control

Causal Discovery in Physical Systems from Videos

Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Adversarial Attacks on Node Embeddings via Graph Poisoning

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving

On Constrained Spectral Clustering and Its Applications

LSQ+: Improving low-bit quantization through learnable offsets and better initialization

Navigation World Models

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning

Reward Hacking Challenges Oversight of Autonomous Research Agents

VeLO: Training Versatile Learned Optimizers by Scaling Up

HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants

Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning

Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs

Large Language Models for Code: Security Hardening and Adversarial Testing