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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25,921 to 25,980 of 33,109

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
Benchmarks Saturate When The Model Gets Smarter Than The Judge
Marthe Ballon, Andres Algaba, Brecht Verbeken +1
cs.AIcs.CLcs.LGarXiv:2601.19532v12026
Knowledge Inheritance for Pre-trained Language Models
Yujia Qin, Yankai Lin, Jing Yi +8
cs.CLcs.AIcs.LGarXiv:2105.13880v22021
Harnessing the Universal Geometry of Embeddings
Rishi Jha, Collin Zhang, Vitaly Shmatikov +1
cs.LGarXiv:2505.12540v42025
APEX: Speculate smarter, not deeper
Manvi Jha, Zach Zhang, Zhichao Xu +3
cs.CLcs.LGarXiv:2610.07780v12026
Robust Counterfactual Explanations on Graph Neural Networks
Mohit Bajaj, Lingyang Chu, Zi Yu Xue +4
cs.LGcs.AIarXiv:2107.04086v32021
A review of learning vector quantization classifiers
David Nova, Pablo A. Estevez
cs.LGastro-ph.IMcs.NEarXiv:1509.07093v12015
Towards One-for-All Foundation Model for Attributed Graph Clustering
Yunhui Liu, Xudong Jin, Kang Zhang +5
cs.LGcs.AIarXiv:2610.07778v12026
Towards Understanding Regularization in Batch Normalization
Ping Luo, Xinjiang Wang, Wenqi Shao +1
cs.LGcs.CVeess.SYarXiv:1809.00846v42018
Multiple Source Adaptation and the Renyi Divergence
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
cs.LGstat.MLarXiv:1205.2628v12012
Deep Networks with Internal Selective Attention through Feedback Connections
Marijn Stollenga, Jonathan Masci, Faustino Gomez +1
cs.CVcs.LGcs.NEarXiv:1407.3068v22014

Machine Learning

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

Benchmarks Saturate When The Model Gets Smarter Than The Judge

Knowledge Inheritance for Pre-trained Language Models

Harnessing the Universal Geometry of Embeddings

APEX: Speculate smarter, not deeper

Robust Counterfactual Explanations on Graph Neural Networks

A review of learning vector quantization classifiers

Towards One-for-All Foundation Model for Attributed Graph Clustering

Towards Understanding Regularization in Batch Normalization

Multiple Source Adaptation and the Renyi Divergence

Deep Networks with Internal Selective Attention through Feedback Connections