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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26,581 to 26,640 of 33,093

Deep Factors for Forecasting
Yuyang Wang, Alex Smola, Danielle C. Maddix +3
stat.MLcs.LGarXiv:1905.12417v12019
An Application of Deep Reinforcement Learning to Algorithmic Trading
Thibaut Théate, Damien Ernst
q-fin.TRcs.AIcs.LGarXiv:2004.06627v32020
DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training
Tianhao Hu, Xiangcheng Liu, Yuchun Miao +16
cs.LGcs.DCarXiv:2604.26256v22026
CAT-GS: Balanced Multimodal Learning via Calibrated Gating and Fusion Surgery
Mahir Shahriar Tamim, Sharjil Khan, Md. Samiul Alim +3
cs.LGcs.AIarXiv:2608.24947v12026
TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning
Heming Zou, Qi Wang, Yun Qu +9
cs.LGcs.AIcs.CLarXiv:2606.11119v12026
Categorical Flow Maps
Daan Roos, Oscar Davis, Floor Eijkelboom +5
cs.LGarXiv:2602.12233v12026
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition
Chenhongyi Yang, Zehui Chen, Miguel Espinosa +4
cs.CVcs.LGarXiv:2403.17695v22024
A General Two-Step Approach to Learning-Based Hashing
Guosheng Lin, Chunhua Shen, David Suter +1
cs.LGcs.CVarXiv:1309.1853v12013
Deep Bayesian Inversion
Jonas Adler, Ozan Öktem
stat.MLcs.LGmath.STarXiv:1811.05910v12018
Linear Exponential Quadratic Gaussian Covariance Steering
Chiran B. Cherian, Yasemin Isik, Abhishek Halder
math.OCcs.AIcs.LGarXiv:2609.12463v12026
Effective and Efficient Graph Learning for Multi-view Clustering
Quanxue Gao, Wei Xia, Xinbo Gao +3
cs.LGarXiv:2108.06734v22021
A Unified Framework for Approximating and Clustering Data
Dan Feldman, Michael Langberg
cs.LGarXiv:1106.1379v42011
ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research
Wanghan Xu, Shuo Li, Tianlin Ye +48
cs.LGcs.AIcs.CLarXiv:2606.07591v52026
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
Ouyu Lan, Xiao Huang, Bill Yuchen Lin +3
cs.CLcs.LGarXiv:1910.04289v22019
Strategies for Pre-training Graph Neural Networks
Weihua Hu, Bowen Liu, Joseph Gomes +4
cs.LGstat.MLarXiv:1905.12265v32019
From Glue-Code to Protocols: A Critical Analysis of A2A and MCP Integration for Scalable Agent Systems
Qiaomu Li, Ying Xie
cs.MAcs.AIcs.LGarXiv:2505.03864v12025
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi, Zihao Xu, Hengyi Wang +6
cs.LGcs.AIcs.CLarXiv:2404.16789v32024
FACET: Factorized Asymmetric Conditioning for Efficient Transport in High-Fidelity Fluorescence Microscopy Synthesis
Sazan Mahbub, Caleb N. Ellington, Eric P. Xing
cs.LGcs.CVarXiv:2610.05353v12026
Reinforcement Learning for Relation Classification from Noisy Data
Jun Feng, Minlie Huang, Li Zhao +2
cs.IRcs.LGstat.MLarXiv:1808.08013v12018
Explainability for Large Language Models: A Survey
Haiyan Zhao, Hanjie Chen, Fan Yang +6
cs.CLcs.AIcs.LGarXiv:2309.01029v32023
Adversarial Training Without Input Gradients via Low-Rank Householder Expansions
Tiana C. Johnson, Donsub Rim
cs.LGarXiv:2608.26963v12026
FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System
Bowen Yu, Claudio T. Silva
cs.HCcs.LGarXiv:1908.00681v22019
A Survey on Practical Applications of Multi-Armed and Contextual Bandits
Djallel Bouneffouf, Irina Rish
cs.LGstat.MLarXiv:1904.10040v12019
Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers
Aaron Griffith, Andrew Pomerance, Daniel J. Gauthier
cs.LGnlin.CDstat.MLarXiv:1910.00659v22019
PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries
Hailong Sheng, Chao Yang
math.NAcs.LGarXiv:2004.06490v22020
SAGE-Loop: Reliable Closed-Loop LLM-Driven AutoML with Trial-and-Correction and Adaptive Ensembling
Junquan Gu, Shibo Cui, Xiangfeng Luo +1
cs.LGarXiv:2609.12455v12026
EMG-GPT: Predictive Pretraining on Residual-Quantized EMG Tokens for Hand Pose Estimation
Ettore Magni, Rolandos Alexandros Potamias, Stefanos Zafeiriou +1
cs.LGcs.AIarXiv:2610.05235v12026
Compressing deep neural networks by matrix product operators
Ze-Feng Gao, Song Cheng, Rong-Qiang He +4
cs.LGcs.CVcs.NEarXiv:1904.06194v22019
Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
Yibo Li, Zijie Lin, Ailin Deng +5
cs.LGcs.AIarXiv:2601.18510v32026
Jigsaw-CRL: Recovering Global Latent Causal Order from Fragmented Multi-Client Interventions
Haijie Xu, Chen Zhang
stat.MLcs.LGarXiv:2608.28991v12026
Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images
Juzheng Miao, Yuchen Yuan, Cheng Chen +1
cs.CVcs.AIcs.LGarXiv:2609.12454v12026
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
Zhiyuan Liu, Yicun Yang, Yaojie Zhang +6
cs.LGcs.AIcs.CLarXiv:2506.06295v32025
RobustSeiz: An Open-Source Framework for Benchmarking the Robustness of EEG Seizure Detection Models
Mohammad Mohammadi, Alireza Zarei
cs.LGeess.SParXiv:2609.04007v12026
Revisiting Neural Scaling Laws in Language and Vision
Ibrahim Alabdulmohsin, Behnam Neyshabur, Xiaohua Zhai
cs.LGcs.AIarXiv:2209.06640v22022
Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks
David Pfau, James S. Spencer, Alexander G. de G. Matthews +1
physics.chem-phcs.LGphysics.comp-pharXiv:1909.02487v32019
Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning
Alireza Abdollahpoorrostam, Ehsan Sharifian, Buse Şen +2
cs.LGmath.OCstat.MLarXiv:2609.31363v12026
Transfer Learning under High-dimensional Generalized Linear Models
Ye Tian, Yang Feng
stat.MLcs.LGstat.MEarXiv:2105.14328v42021
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Yuchen Zhang, John C. Duchi, Martin J. Wainwright
math.STcs.LGstat.MLarXiv:1305.5029v22013
Granularity-Adaptive Credit Assignment for Long-Horizon LLM Agent Reinforcement Learning
Taoran Liang, Yang Liu, Shang Luo +10
cs.LGarXiv:2609.12424v22026
Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations
Sijie Mai, Ying Zeng, Haifeng Hu
cs.LGarXiv:2210.17444v32022
Pessimistic Minimax Learning for Public-Private Information Games under Unilateral Coverage
Shuze Daniel Liu, Claire Chen, Jiuqi Wang +1
cs.LGarXiv:2610.04997v12026
Improving Neural Language Models with a Continuous Cache
Edouard Grave, Armand Joulin, Nicolas Usunier
cs.CLcs.LGarXiv:1612.04426v12016
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)
John Gideon, Melvin G McInnis, Emily Mower Provost
cs.LGcs.SDeess.ASarXiv:1903.12094v22019
From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function
Rafael Rafailov, Joey Hejna, Ryan Park +1
cs.LGarXiv:2404.12358v22024
Augmented Ultrasonic Data for Machine Learning
Iikka Virkkunen, Tuomas Koskinen, Oskari Jessen-Juhler +1
eess.SPcs.LGcs.SDarXiv:1903.11399v12019
BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation
Jingwen Xu, Yiyang Lu, Zisu Huang +9
cs.LGcs.AIcs.SEarXiv:2602.02554v12026
Proteina: Scaling Flow-based Protein Structure Generative Models
Tomas Geffner, Kieran Didi, Zuobai Zhang +8
cs.LGarXiv:2503.00710v12025
CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
Ralf Römer, Yi Zhang, Yuming Li +1
cs.ROcs.LGarXiv:2601.09512v22026
Measuring abstract reasoning in neural networks
David G. T. Barrett, Felix Hill, Adam Santoro +2
cs.LGstat.MLarXiv:1807.04225v12018
You Only Need 2/3 of the Chosen Experts: An Empirical Study of Dynamic Expert Pruning in Fine-Grained MoE LLMs
Yuanteng Chen, Qiwei Lai, Chen Tianqi +7
cs.LGcs.AIarXiv:2609.25809v12026
Deep Network Guided Proof Search
Sarah Loos, Geoffrey Irving, Christian Szegedy +1
cs.AIcs.LGcs.LOarXiv:1701.06972v12017
Elements of Sequential Monte Carlo
Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön
stat.MLcs.LGstat.COarXiv:1903.04797v32019
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Matthew Le, Apoorv Vyas, Bowen Shi +8
eess.AScs.CLcs.LGarXiv:2306.15687v22023
Nash Learning from Human Feedback
Rémi Munos, Michal Valko, Daniele Calandriello +14
stat.MLcs.AIcs.GTarXiv:2312.00886v42023
MobileMoE: Scaling On-Device Mixture of Experts
Yanbei Chen, Hanxian Huang, Ernie Chang +5
cs.LGcs.AIcs.CLarXiv:2605.27358v12026
D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform
Jieke Wu, Qijie Zhu, Weimin Wu +3
cs.LGcs.AIarXiv:2610.04938v12026
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter
cs.LGphysics.comp-phstat.MLarXiv:2007.04439v32020
Neural Fine-Gray: Monotonic neural networks for competing risks
Vincent Jeanselme, Chang Ho Yoon, Brian Tom +1
cs.LGcs.AIstat.MLarXiv:2305.06703v12023
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
Pravendra Singh, Vinay Kumar Verma, Piyush Rai +1
cs.CVcs.AIcs.LGarXiv:1903.04120v22019
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang, Zhi Xu
cs.LGcs.CVstat.MLarXiv:2006.07529v22020

Machine Learning

Deep Factors for Forecasting

An Application of Deep Reinforcement Learning to Algorithmic Trading

DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training

CAT-GS: Balanced Multimodal Learning via Calibrated Gating and Fusion Surgery

TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning

Categorical Flow Maps

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

A General Two-Step Approach to Learning-Based Hashing

Deep Bayesian Inversion

Linear Exponential Quadratic Gaussian Covariance Steering

Effective and Efficient Graph Learning for Multi-view Clustering

A Unified Framework for Approximating and Clustering Data

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling

Strategies for Pre-training Graph Neural Networks

From Glue-Code to Protocols: A Critical Analysis of A2A and MCP Integration for Scalable Agent Systems

Continual Learning of Large Language Models: A Comprehensive Survey

FACET: Factorized Asymmetric Conditioning for Efficient Transport in High-Fidelity Fluorescence Microscopy Synthesis

Reinforcement Learning for Relation Classification from Noisy Data

Explainability for Large Language Models: A Survey

Adversarial Training Without Input Gradients via Low-Rank Householder Expansions

FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System

A Survey on Practical Applications of Multi-Armed and Contextual Bandits

Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers

PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries

SAGE-Loop: Reliable Closed-Loop LLM-Driven AutoML with Trial-and-Correction and Adaptive Ensembling

EMG-GPT: Predictive Pretraining on Residual-Quantized EMG Tokens for Hand Pose Estimation

Compressing deep neural networks by matrix product operators

Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates

Jigsaw-CRL: Recovering Global Latent Causal Order from Fragmented Multi-Client Interventions

Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images

dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching

RobustSeiz: An Open-Source Framework for Benchmarking the Robustness of EEG Seizure Detection Models

Revisiting Neural Scaling Laws in Language and Vision

Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks

Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning

Transfer Learning under High-dimensional Generalized Linear Models

Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates

Granularity-Adaptive Credit Assignment for Long-Horizon LLM Agent Reinforcement Learning

Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations

Pessimistic Minimax Learning for Public-Private Information Games under Unilateral Coverage

Improving Neural Language Models with a Continuous Cache

Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)

From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function

Augmented Ultrasonic Data for Machine Learning

BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation

Proteina: Scaling Flow-based Protein Structure Generative Models

CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion

Measuring abstract reasoning in neural networks

You Only Need 2/3 of the Chosen Experts: An Empirical Study of Dynamic Expert Pruning in Fine-Grained MoE LLMs

Deep Network Guided Proof Search

Elements of Sequential Monte Carlo

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale

Nash Learning from Human Feedback

MobileMoE: Scaling On-Device Mixture of Experts

D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

Neural Fine-Gray: Monotonic neural networks for competing risks

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs

Rethinking the Value of Labels for Improving Class-Imbalanced Learning