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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26,041 to 26,100 of 33,243

In-Distribution Imagination for Model-Based Offline Reinforcement Learning
Mintae Kim, Koushil Sreenath
cs.LGarXiv:2609.38673v12026
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks
Md Abul Bashar, Richi Nayak
cs.CVcs.LGstat.MLarXiv:2008.09567v22020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
Karan Goel, Albert Gu, Yixuan Li +1
cs.LGcs.AIcs.CVarXiv:2008.06775v12020
A Geometric Approach to Soft Actor-Critic with Zonotopes for Locomotion Learning
Panagiotis Roditis, Panagiotis P. Filntisis, Petros Maragos
cs.LGcs.AIarXiv:2610.12113v12026
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems
Andrea Madotto, Zihan Liu, Zhaojiang Lin +1
cs.CLcs.LGarXiv:2008.06239v22020
NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime
Gengze Zhou, Yicong Hong, Jiazhao Zhang +9
cs.ROcs.AIcs.CLarXiv:2610.10787v12026
Neural networks for topology optimization
Ivan Sosnovik, Ivan Oseledets
cs.LGmath.NAarXiv:1709.09578v12017
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li, Chenjie Gu, Thomas Dullien +2
cs.LGstat.MLarXiv:1904.12787v22019
Robust Validation: Confident Predictions Even When Distributions Shift
Maxime Cauchois, Suyash Gupta, Alnur Ali +1
stat.MLcs.LGstat.MEarXiv:2008.04267v32020
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
Hao Chen, Ran Tao, Yue Fan +6
cs.LGcs.AIcs.CVarXiv:2301.10921v22023
Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
Aniket Didolkar, Nicolas Ballas, Sanjeev Arora +1
cs.LGcs.AIarXiv:2509.13237v12025
From Phase Transition to Systemic Failure: A Decoupled Analytics Framework for GNN Robustness
Shuai Yan, Dan Peng, Jie Li +1
cs.LGcs.AIcs.IRarXiv:2609.31656v12026
FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance
Quanhao Li, Zhen Xing, Rui Wang +4
cs.CVcs.AIcs.LGarXiv:2603.12146v12026
Scalable Hierarchical Graph Generation via Soft Community Structure
Ahmet Tüzen, Helge Langseth, Kjetil Nørvåg
cs.LGcs.AIarXiv:2610.12163v12026
PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits
Loka Li, Wong Yu Kang, Minghao Fu +7
cs.LGcs.CVarXiv:2509.11362v22025
Optimization Encoders: Rethinking Second-Order Meta-Learning for Neural Fields
Rudolf L. M. van Herten, Soufiane Ben Haddou, Rachit Saluja +1
cs.LGcs.CVarXiv:2610.08075v12026
Typed Temporal Interaction Features for Simulation-Backed Forecasting of Open-Source Game Release Incidents
Shayma Alkobaisi, Anas Ali
cs.LGcs.AIarXiv:2609.31647v12026
Post-LayerNorm Is Back: Stable, ExpressivE, and Deep
Chen Chen, Lai Wei
cs.LGcs.CLarXiv:2601.19895v22026
STAR: Adaptive Spatial-Temporal Normalization for Unified Microservice Incident Management
Xinhua Miao, Linyu Zhu, Bowei Yang +1
cs.LGcs.AIarXiv:2609.31645v12026
Best-Arm Identification in Linear Bandits
Marta Soare, Alessandro Lazaric, Rémi Munos
cs.LGarXiv:1409.6110v22014
Information Design Against Gaming and Learning Adversaries
Madhava Gaikwad
cs.LGcs.AIcs.CRarXiv:2609.31643v12026
Optimal Sequential Annotations for Off-Policy Evaluation
Woojin Chae, Ezinne Nwankwo, Haitong Qin +1
stat.MEcs.LGstat.MLarXiv:2609.26707v12026
Product-Aware Deterministic Rounding for Quantized Matrix Multiplication
Piyush Sao, Narasinga Miniskar, Pedro Valero-Lara +2
cs.LGcs.DScs.ITarXiv:2609.31641v12026
Censoring Representations with an Adversary
Harrison Edwards, Amos Storkey
cs.LGcs.AIstat.MLarXiv:1511.05897v32015
Domain Adaptive Neural Networks for Object Recognition
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang
cs.CVcs.AIcs.LGarXiv:1409.6041v12014
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
cs.LGstat.MLarXiv:1906.01227v22019
Self-supervised Learning of Point Clouds via Orientation Estimation
Omid Poursaeed, Tianxing Jiang, Han Qiao +2
cs.CVcs.GRcs.LGarXiv:2008.00305v22020
Frontier LLMs are effective batch optimizers: Assessing reasoning models in continuous and discrete settings
Frank Hu, Shriram Chennakesavalu, David Graff
cs.LGarXiv:2609.03177v12026
CRISP: A Framework for Clause-Reconstructed Interpretable NeuroSymbolic Propositions
Alex Chan, Shafi Muhtasim Chowdhury, Ekin Can Erkuş +3
cs.LGarXiv:2610.02431v12026
On the Nature and Types of Anomalies: A Review of Deviations in Data
Ralph Foorthuis
cs.DBcs.AIcs.LGarXiv:2007.15634v52020
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

Machine Learning

In-Distribution Imagination for Model-Based Offline Reinforcement Learning

TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks

Model Patching: Closing the Subgroup Performance Gap with Data Augmentation

A Geometric Approach to Soft Actor-Critic with Zonotopes for Locomotion Learning

Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems

NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime

Neural networks for topology optimization

Graph Matching Networks for Learning the Similarity of Graph Structured Objects

Robust Validation: Confident Predictions Even When Distributions Shift

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors

From Phase Transition to Systemic Failure: A Decoupled Analytics Framework for GNN Robustness

FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance

Scalable Hierarchical Graph Generation via Soft Community Structure

PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits

Optimization Encoders: Rethinking Second-Order Meta-Learning for Neural Fields

Typed Temporal Interaction Features for Simulation-Backed Forecasting of Open-Source Game Release Incidents

Post-LayerNorm Is Back: Stable, ExpressivE, and Deep

STAR: Adaptive Spatial-Temporal Normalization for Unified Microservice Incident Management

Best-Arm Identification in Linear Bandits

Information Design Against Gaming and Learning Adversaries

Optimal Sequential Annotations for Off-Policy Evaluation

Product-Aware Deterministic Rounding for Quantized Matrix Multiplication

Censoring Representations with an Adversary

Domain Adaptive Neural Networks for Object Recognition

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Self-supervised Learning of Point Clouds via Orientation Estimation

Frontier LLMs are effective batch optimizers: Assessing reasoning models in continuous and discrete settings

CRISP: A Framework for Clause-Reconstructed Interpretable NeuroSymbolic Propositions

On the Nature and Types of Anomalies: A Review of Deviations in Data

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