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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28,141 to 28,200 of 32,791

Self-Supervised Correspondence in Visuomotor Policy Learning
Peter Florence, Lucas Manuelli, Russ Tedrake
cs.ROcs.CVcs.LGarXiv:1909.06933v12019
SLIM: Simplex-Lattice Interpolation Merging
Seongcheol Jeong, Masahiro Suzuki, Yutaka Matsuo
cs.LGarXiv:2610.01037v12026
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang +2
cs.LGmath.OCstat.MLarXiv:2003.00534v22020
Learning Equations for Extrapolation and Control
Subham S. Sahoo, Christoph H. Lampert, Georg Martius
cs.LGstat.MLarXiv:1806.07259v12018
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song, Hongyu Ren, Dorsa Sadigh +1
cs.LGcs.AIcs.MAarXiv:1807.09936v12018
The Price of Thinking: Reasoning Effort as a Model-Specific API Contract
Yeabin Moon
cs.AIcs.CLcs.CYarXiv:2608.16956v12026
Federated Continual Learning as a Distributed Drift-Plus-Penalty Control Problem
Nazreen Shah, Naveen Kumar Reddy Somireddy, Zubair Shaban +2
cs.LGarXiv:2608.21539v12026
On the Non-decoupling of Supervised Fine-tuning and Reinforcement Learning in Post-training
Xueyan Niu, Bo Bai, Wei Han +1
cs.LGcs.AIcs.ITarXiv:2601.07389v22026
MIST: Mutual Information Estimation Via Supervised Training
German Gritsai, Megan Richards, Maxime Méloux +2
cs.LGcs.ITmath.ITarXiv:2511.18945v42025
SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue
Haobo Zheng, Tan Tang, Yan Chen +2
cs.CLcs.AIcs.IRarXiv:2609.26780v22026
Representation-Space MMD for Diffusion Language Models
Ilya Drobyshevskiy, Ilia Sudakov, Maksim Semenov +7
cs.CLcs.LGarXiv:2610.06648v12026
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
Bernd Bischl, Martin Binder, Michel Lang +9
stat.MLcs.LGarXiv:2107.05847v32021
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining
Bin Liu, Yuxiao Ren, Hanchi Liu +4
cs.CVcs.LGeess.IVarXiv:1912.05759v32019
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Renhe Jiang, Zhaonan Wang, Jiawei Yong +6
cs.LGcs.AIarXiv:2211.14701v42022
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
Forrest N. Iandola, Albert E. Shaw, Ravi Krishna +1
cs.CLcs.CVcs.LGarXiv:2006.11316v12020
PhysicsBench: A Unified Leaderboard for Generative and Predictive Models in Engineering Design and Simulation
Sang Won Lee, Hyogu Jeong, Namwoo Kang
cs.LGcs.CEarXiv:2608.24056v12026
Semantic Human Matting
Quan Chen, Tiezheng Ge, Yanyu Xu +3
cs.CVcs.GRcs.LGarXiv:1809.01354v22018
COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation
Tianyi Zhou, Dongrui Liu, Leitao Yuan +2
cs.AIcs.CLcs.LGarXiv:2605.31264v12026
Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning
Jinyuan Zhang, Peng He, He Hu +2
cs.LGcs.AIcs.CLarXiv:2609.00064v12026
ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
Jungwoo Oh, Hyunseung Chung, Junhee Lee +6
cs.LGcs.AIcs.CLarXiv:2603.14326v12026
Overview of the TREC 2020 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +1
cs.IRcs.AIcs.CLarXiv:2102.07662v12021
Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning
Shireen Kudukkil Manchingal, Abhey Kalia, Fernanda Gonçalves +1
cs.LGcs.AIarXiv:2605.18871v12026
Towards Explainable Benchmarking for Data-driven Post-Wildfire Debris Flow Prediction
Zhisheng Qi, Li Zhu, Utkarsh Sahu +3
cs.LGarXiv:2610.07358v12026
Segmental Advantage Estimation: Enhancing PPO for Long-Context LLM Training
Xue Gong, Qi Yi, Ziyuan Nan +8
cs.LGcs.AIarXiv:2601.07320v12026
CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance
Erik Thureck
cs.CLcs.AIcs.LGarXiv:2608.21462v12026
Rolling Day-Wise Mortality Prediction in Critically Ill Patients With AKI on CRRT Utilizing Machine Pressure Waveforms
Shehan Irteza Pranto, Joanna Yang, Joshua Lambert +6
cs.LGcs.AIarXiv:2609.13524v12026
Stripe-Based Fragility Analysis of Concrete Bridge Classes Using Machine Learning Techniques
Sujith Mangalathu, Jong-Su Jeon
cs.CEcs.LGstat.MLarXiv:1807.09761v12018
Corralling a Band of Bandit Algorithms
Alekh Agarwal, Haipeng Luo, Behnam Neyshabur +1
cs.LGstat.MLarXiv:1612.06246v32016
Implicit Semantic Data Augmentation for Deep Networks
Yulin Wang, Xuran Pan, Shiji Song +3
cs.CVcs.LGstat.MLarXiv:1909.12220v52019
Neural Proximal Gradient Descent for Compressive Imaging
Morteza Mardani, Qingyun Sun, Shreyas Vasawanala +4
cs.CVcs.LGarXiv:1806.03963v12018
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
Costas Mavromatis, George Karypis
cs.CLcs.AIcs.LGarXiv:2405.20139v12024
Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
Wanghan Xu, Yuhao Zhou, Yifan Zhou +104
cs.AIcs.CLcs.LGarXiv:2512.16969v12025
GyroNovo: Error-Guided Fragment Imputation with Mass-Aware Attention for \textit{De Novo} Peptide Sequencing
Abdellah El Mekki, Laks V. S. Lakshmanan, Muhammad Abdul-Mageed
cs.LGarXiv:2609.30542v12026
Adversarial Perturbations Fool Deepfake Detectors
Apurva Gandhi, Shomik Jain
cs.CVcs.LGcs.NEarXiv:2003.10596v22020
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Michael M. Bronstein, Joan Bruna, Taco Cohen +1
cs.LGcs.AIcs.CGarXiv:2104.13478v22021
Physics-Integrated Operator Learning via Gaussian Splatting Representations
Jihao Zhang, Junyi Guo, Jian-Xun Wang
cs.LGarXiv:2608.24049v12026
Self-Supervised Generation of Spatial Audio for 360 Video
Pedro Morgado, Nuno Vasconcelos, Timothy Langlois +1
cs.SDcs.CVcs.LGarXiv:1809.02587v12018
Deep Signature Transforms
Patric Bonnier, Patrick Kidger, Imanol Perez Arribas +2
cs.LGstat.MLarXiv:1905.08494v22019
Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha, Wooyoung Kang, Jonghwan Mun +1
cs.CVcs.AIcs.CLarXiv:2312.06742v22023
Structured State Space Models for In-Context Reinforcement Learning
Chris Lu, Yannick Schroecker, Albert Gu +4
cs.LGarXiv:2303.03982v32023
Implicit Chain of Thought Reasoning via Knowledge Distillation
Yuntian Deng, Kiran Prasad, Roland Fernandez +3
cs.CLcs.AIcs.LGarXiv:2311.01460v12023
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann, Tor Lattimore, Emma Brunskill
cs.LGcs.AIstat.MLarXiv:1703.07710v32017
Implicit Quantile Networks for Distributional Reinforcement Learning
Will Dabney, Georg Ostrovski, David Silver +1
cs.LGcs.AIstat.MLarXiv:1806.06923v12018
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
math.STcs.LGstat.MLarXiv:1708.06633v52017
Does Explainable Artificial Intelligence Improve Human Decision-Making?
Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash +2
cs.LGstat.MLarXiv:2006.11194v12020
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Amit Daniely, Roy Frostig, Yoram Singer
cs.LGcs.AIcs.CCarXiv:1602.05897v22016
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Yi Liu, Sahil Garg, Jiangtian Nie +4
cs.LGcs.DCstat.MLarXiv:2007.09712v12020
Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
cs.LGcs.CVstat.MLarXiv:1608.08967v12016
BeTaL-GBI: Admission-Aware Benchmark Tuning and Full-Stack Verification of Geometric Belief Interfaces
Alvin Spivey, Yu Huang
cs.SEcs.CRcs.LGarXiv:2608.21503v12026
Three hypergraph eigenvector centralities
Austin R. Benson
cs.SIcs.LGphysics.soc-pharXiv:1807.09644v32018
Mutual Equilibrium: Multimodal Representation Learning through Reciprocal Feedback
Ho-min Park, Byungkon Kang
cs.LGcs.CVarXiv:2609.39456v12026
Knowledge-enhanced Black-box Attacks for Recommendations
Jingfan Chen, Wenqi Fan, Guanghui Zhu +4
cs.LGcs.AIcs.IRarXiv:2207.10307v12022
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
Michael Janner, Sergey Levine, William T. Freeman +3
cs.LGcs.AIcs.CVarXiv:1812.10972v22018
Robustly representing uncertainty in deep neural networks through sampling
Patrick McClure, Nikolaus Kriegeskorte
cs.LGcs.CVcs.NEarXiv:1611.01639v72016
Message-passing neural networks for high-throughput polymer screening
Peter C. St. John, Caleb Phillips, Travis W. Kemper +4
physics.comp-phcs.LGstat.MLarXiv:1807.10363v22018
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong +2
cs.CVcs.AIcs.LGarXiv:2104.14558v12021
Low-rank Kernel Learning for Graph-based Clustering
Zhao Kang, Liangjian Wen, Wenyu Chen +1
cs.LGcs.CVstat.MLarXiv:1903.05962v12019
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
Shen Nie, Hanzhong Allan Guo, Cheng Lu +3
cs.CVcs.LGarXiv:2311.01410v22023
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti, Michael M. Bronstein, Xavier Bresson
cs.LGcs.IRmath.NAarXiv:1704.06803v12017
The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation
Farid Bagirov, Mikhail Arkhipov, Ksenia Sycheva +2
cs.LGarXiv:2510.23393v12025

Machine Learning

Self-Supervised Correspondence in Visuomotor Policy Learning

SLIM: Simplex-Lattice Interpolation Merging

Provably Efficient Safe Exploration via Primal-Dual Policy Optimization

Learning Equations for Extrapolation and Control

Multi-Agent Generative Adversarial Imitation Learning

The Price of Thinking: Reasoning Effort as a Model-Specific API Contract

Federated Continual Learning as a Distributed Drift-Plus-Penalty Control Problem

On the Non-decoupling of Supervised Fine-tuning and Reinforcement Learning in Post-training

MIST: Mutual Information Estimation Via Supervised Training

SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue

Representation-Space MMD for Diffusion Language Models

Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting

SqueezeBERT: What can computer vision teach NLP about efficient neural networks?

PhysicsBench: A Unified Leaderboard for Generative and Predictive Models in Engineering Design and Simulation

Semantic Human Matting

COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation

Attention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning

ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation

Overview of the TREC 2020 deep learning track

Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning

Towards Explainable Benchmarking for Data-driven Post-Wildfire Debris Flow Prediction

Segmental Advantage Estimation: Enhancing PPO for Long-Context LLM Training

CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance

Rolling Day-Wise Mortality Prediction in Critically Ill Patients With AKI on CRRT Utilizing Machine Pressure Waveforms

Stripe-Based Fragility Analysis of Concrete Bridge Classes Using Machine Learning Techniques

Corralling a Band of Bandit Algorithms

Implicit Semantic Data Augmentation for Deep Networks

Neural Proximal Gradient Descent for Compressive Imaging

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows

GyroNovo: Error-Guided Fragment Imputation with Mass-Aware Attention for \textit{De Novo} Peptide Sequencing

Adversarial Perturbations Fool Deepfake Detectors

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Physics-Integrated Operator Learning via Gaussian Splatting Representations

Self-Supervised Generation of Spatial Audio for 360 Video

Deep Signature Transforms

Honeybee: Locality-enhanced Projector for Multimodal LLM

Structured State Space Models for In-Context Reinforcement Learning

Implicit Chain of Thought Reasoning via Knowledge Distillation

Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning

Implicit Quantile Networks for Distributional Reinforcement Learning

Nonparametric regression using deep neural networks with ReLU activation function

Does Explainable Artificial Intelligence Improve Human Decision-Making?

Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity

Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

Robustness of classifiers: from adversarial to random noise

BeTaL-GBI: Admission-Aware Benchmark Tuning and Full-Stack Verification of Geometric Belief Interfaces

Three hypergraph eigenvector centralities

Mutual Equilibrium: Multimodal Representation Learning through Reciprocal Feedback

Knowledge-enhanced Black-box Attacks for Recommendations

Reasoning About Physical Interactions with Object-Oriented Prediction and Planning

Robustly representing uncertainty in deep neural networks through sampling

Message-passing neural networks for high-throughput polymer screening

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

Low-rank Kernel Learning for Graph-based Clustering

The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation