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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25,621 to 25,680 of 33,300

Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study
Rafael Garcia-Dias, Alexandre Triay Bagur, Chayanin Tangwiriyasakul +20
cs.LGcs.CVcs.DCarXiv:2609.36001v12026
MasRouter: Learning to Route LLMs for Multi-Agent Systems
Yanwei Yue, Guibin Zhang, Boyang Liu +4
cs.LGcs.MAarXiv:2502.11133v12025
FreDF: Learning to Forecast in the Frequency Domain
Hao Wang, Licheng Pan, Zhichao Chen +6
cs.LGcs.AIstat.AParXiv:2402.02399v22024
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Zhiqin Chen, Kangxue Yin, Matthew Fisher +2
cs.CVcs.GRcs.LGarXiv:1903.11228v22019
ROSS: Relearning from Self-Generated Rollouts through Selective Supervision
Zhiwei Zhang, Huayu Deng, Fei Zhao +4
cs.LGcs.AIarXiv:2609.35954v12026
A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective
Ziwen Zhao, Yixin Su, Yuhua Li +3
cs.LGcs.SIarXiv:2403.16137v32024
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani +3
cs.CLcs.AIcs.LGarXiv:2504.10415v22025
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang, Xingxing Zhang, Hang Su +1
cs.LGcs.AIcs.CVarXiv:2302.00487v32023
Tensor Regression Networks
Jean Kossaifi, Zachary C. Lipton, Arinbjorn Kolbeinsson +3
cs.LGarXiv:1707.08308v42017
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie, Jiang Xiong, Shiliang Pu
cs.CVcs.LGcs.NEarXiv:1703.01827v32017
Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants
Vincent Huang, Dami Choi, Daniel D. Johnson +2
cs.AIcs.CLcs.LGarXiv:2512.15712v12025
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager, David Madras, Jörn-Henrik Jacobsen +4
cs.LGcs.AIstat.MLarXiv:1906.02589v12019
Denoising Blocks, Not Tokens: Efficient Compressed Continuous Diffusion with Branching Token Realization
Xinsong Feng, Peng Du, Zhizhuo Yang +3
cs.LGcs.AIarXiv:2610.09311v12026
VICRegL: Self-Supervised Learning of Local Visual Features
Adrien Bardes, Jean Ponce, Yann LeCun
cs.CVcs.AIcs.LGarXiv:2210.01571v12022
Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations
Yongshuo Zong, Tingyang Yu, Ruchika Chavhan +2
cs.LGarXiv:2310.01651v32023
Robust Successor Features
Erik Nikulski, Yamen Habib, Vicenç Gomez +3
cs.LGarXiv:2609.31016v12026
Graph Neural Networks in TensorFlow and Keras with Spektral
Daniele Grattarola, Cesare Alippi
cs.LGstat.MLarXiv:2006.12138v12020
emg2face: Expressive Facial Animation with High-Density Surface EMG
Ganidhu Abey, Wendy Greening, Ashika Kamboj +5
cs.GRcs.CVcs.ETarXiv:2610.09304v12026
ExpRL: Exploratory RL for LLM Mid-Training
Violet Xiang, Amrith Setlur, Chase Blagden +2
cs.LGarXiv:2606.17024v12026
Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior
Daniel Wurgaft, Can Rager, Matthew Kowal +13
cs.LGarXiv:2605.05115v12026
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo +2
cs.LGstat.MLarXiv:1901.06523v72019
An extended deep energy method for thermo-mechanical crack propagation
Han Zhang, Mehrisadat Makki Alamdari, Babak Shahbodagh +4
cs.LGcond-mat.mtrl-scics.NAarXiv:2610.09433v12026
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
Xiaotong Ji, Rasul Tutunov, Matthieu Zimmer +1
cs.LGcs.AIarXiv:2601.21590v12026
Flow Matching for Generative Modeling
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu +2
cs.LGcs.AIstat.MLarXiv:2210.02747v22022
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
Daphna Weinshall, Gad Cohen, Dan Amir
cs.LGarXiv:1802.03796v42018
Physics-Guided Synthetic High-Frequency Ultrasound Generation for Skin Layer Segmentation
Junkyung ju, Kyungho Yoon, Minwoo Shin
cs.LGcs.CVarXiv:2609.12735v12026
Scalable Inference-Time Annealing with Surrogate Likelihood Estimators
Daniel Peñaherrera, Rishal Aggarwal, David Ryan Koes
cs.LGq-bio.BMarXiv:2605.31498v32026
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
Zhiyuan Hu, Yucheng Wang, Yufei He +7
cs.LGcs.CLarXiv:2601.08763v22026
Visual Causal Feature Learning
Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt
stat.MLcs.AIcs.CVarXiv:1412.2309v22014
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
Maosen Li, Siheng Chen, Yangheng Zhao +3
cs.CVcs.LGstat.MLarXiv:2003.08802v12020
Practical recommendations for gradient-based training of deep architectures
Yoshua Bengio
cs.LGarXiv:1206.5533v22012
Twist Flow for Inverse Problems
Shiqin Zeng, Zijun Deng, Felix J. Herrmann
cs.LGphysics.geo-pharXiv:2610.09281v12026
Orthogonal Gradient Descent for Continual Learning
Mehrdad Farajtabar, Navid Azizan, Alex Mott +1
cs.LGstat.MLarXiv:1910.07104v12019
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa, David Held, Xinyang Geng +1
cs.LGcs.AIcs.ROarXiv:1705.06366v52017
KV-streams for Efficient Compaction in Agentic Reinforcement Learning
Emiliano Penaloza, Dane Malenfant, Dheeraj Vattikonda +15
cs.LGcs.AIarXiv:2609.35750v22026
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner, Qiyang Li, Sergey Levine
cs.LGcs.AIarXiv:2106.02039v42021
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition
Hao Chen, Ming Jin, Zhunan Li +3
cs.LGcs.AIarXiv:2107.07740v12021
Temporal Recurrence Favors Fewer Layers
Ivan Anokhin, Johan Obando-Ceron, Irina Rish +1
cs.LGarXiv:2609.12531v12026
PET-MAD, a lightweight universal interatomic potential for advanced materials modeling
Arslan Mazitov, Filippo Bigi, Matthias Kellner +6
cond-mat.mtrl-scics.LGphysics.chem-pharXiv:2503.14118v22025
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
Sanxing Chen, Xiaodong Liu, Jianfeng Gao +3
cs.CLcs.LGarXiv:2008.12813v22020
Towards Graph Foundation Models: A Transferability Perspective
Yuxiang Wang, Wenqi Fan, Suhang Wang +1
cs.LGarXiv:2503.09363v12025
Generative Joint Source-Channel Coding for Semantic Image Transmission
Ecenaz Erdemir, Tze-Yang Tung, Pier Luigi Dragotti +1
eess.IVcs.AIcs.LGarXiv:2211.13772v12022
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
Chuizheng Meng, Sirisha Rambhatla, Yan Liu
cs.LGcs.AIarXiv:2106.05223v12021
CATune: Structural Constraint-Aware Bayesian Optimization for DBMS Configuration Tuning
Fangping Lan, Qi Zhang, Eduard Dragut
cs.DBcs.LGarXiv:2610.09276v12026
SPHINX: A Synthetic Environment for Visual Perception and Reasoning
Md Tanvirul Alam, Saksham Aggarwal, Justin Yang Chae +1
cs.CVcs.AIcs.LGarXiv:2511.20814v22025
Copy the Same, Distill the Difference: Initializing Linear Vision Transformers
Huaiyuan Qin, Muli Yang, Gabriel James Goenawan +9
cs.CVcs.AIcs.LGarXiv:2609.35745v12026
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Pierre Schumacher, Daniel Häufle, Dieter Büchler +2
cs.ROcs.LGarXiv:2206.00484v22022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
Ivan Kapelyukh, Vitalis Vosylius, Edward Johns
cs.ROcs.CVcs.LGarXiv:2210.02438v32022
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems
Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan
cs.DScs.GTcs.LGarXiv:1405.2875v22014
Document Understanding, Measurement, and Manipulation Using Category Theory
Jared Claypoole, Yunye Gong, Noson S. Yanofsky +1
cs.CLcs.LGarXiv:2510.21553v12025
A Fairness Audit of the Duckworth-Lewis-Stern Method: Format-Specific and Gender-Differential Bias, with an Interpretable Calibration Layer for Cricket Target Revision
Soumyadeep Roy
cs.LGarXiv:2609.04754v12026
Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values
Dian Yu, Yulai Zhao, Kishan Panaganti +3
cs.LGcs.CLarXiv:2510.20187v12025
Sum-of-Squares Polynomial Flow
Priyank Jaini, Kira A. Selby, Yaoliang Yu
cs.LGstat.MLarXiv:1905.02325v22019
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
Junichi Yamagishi, Xin Wang, Massimiliano Todisco +8
eess.AScs.CRcs.LGarXiv:2109.00537v12021
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng, Weili Nie, Arash Vahdat +2
cs.LGcs.CVarXiv:2211.13449v32022
CorrFlow: Exact and Permutation-Equivariant Flow Matching on the Correlation Elliptope
Gautier Marti
stat.MLcs.LGq-fin.RMarXiv:2610.13606v12026
Mathematical Capabilities of ChatGPT
Simon Frieder, Luca Pinchetti, Alexis Chevalier +5
cs.LGcs.AIcs.CLarXiv:2301.13867v22023
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
Shutong Ding, Ke Hu, Zhenhao Zhang +5
cs.LGarXiv:2405.16173v32024
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Qianli Liao, Tomaso Poggio
cs.LGcs.NEarXiv:1604.03640v22016
GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
Aleksandr Oganov, Ilya Bykov, Eva Neudachina +7
cs.CVcs.LGarXiv:2510.17699v22025

Machine Learning

Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study

MasRouter: Learning to Route LLMs for Multi-Agent Systems

FreDF: Learning to Forecast in the Frequency Domain

BAE-NET: Branched Autoencoder for Shape Co-Segmentation

ROSS: Relearning from Self-Generated Rollouts through Selective Supervision

A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective

LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

A Comprehensive Survey of Continual Learning: Theory, Method and Application

Tensor Regression Networks

All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation

Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants

Flexibly Fair Representation Learning by Disentanglement

Denoising Blocks, Not Tokens: Efficient Compressed Continuous Diffusion with Branching Token Realization

VICRegL: Self-Supervised Learning of Local Visual Features

Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations

Robust Successor Features

Graph Neural Networks in TensorFlow and Keras with Spektral

emg2face: Expressive Facial Animation with High-Density Surface EMG

ExpRL: Exploratory RL for LLM Mid-Training

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

An extended deep energy method for thermo-mechanical crack propagation

Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening

Flow Matching for Generative Modeling

Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks

Physics-Guided Synthetic High-Frequency Ultrasound Generation for Skin Layer Segmentation

Scalable Inference-Time Annealing with Surrogate Likelihood Estimators

Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs

Visual Causal Feature Learning

Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction

Practical recommendations for gradient-based training of deep architectures

Twist Flow for Inverse Problems

Orthogonal Gradient Descent for Continual Learning

Automatic Goal Generation for Reinforcement Learning Agents

KV-streams for Efficient Compaction in Agentic Reinforcement Learning

Offline Reinforcement Learning as One Big Sequence Modeling Problem

MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition

Temporal Recurrence Favors Fewer Layers

PET-MAD, a lightweight universal interatomic potential for advanced materials modeling

HittER: Hierarchical Transformers for Knowledge Graph Embeddings

Towards Graph Foundation Models: A Transferability Perspective

Generative Joint Source-Channel Coding for Semantic Image Transmission

Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling

CATune: Structural Constraint-Aware Bayesian Optimization for DBMS Configuration Tuning

SPHINX: A Synthetic Environment for Visual Perception and Reasoning

Copy the Same, Distill the Difference: Initializing Linear Vision Transformers

DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems

DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics

Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems

Document Understanding, Measurement, and Manipulation Using Category Theory

A Fairness Audit of the Duckworth-Lewis-Stern Method: Format-Specific and Gender-Differential Bias, with an Interpretable Calibration Layer for Cricket Target Revision

Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values

Sum-of-Squares Polynomial Flow

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

Fast Sampling of Diffusion Models via Operator Learning

CorrFlow: Exact and Permutation-Equivariant Flow Matching on the Correlation Elliptope

Mathematical Capabilities of ChatGPT

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex

GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver