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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32,161 to 32,220 of 33,048

Latent Replay for Real-Time Continual Learning
Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco +1
cs.LGcs.CVstat.MLarXiv:1912.01100v22019
Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining
Rosie Zhao, Alexandru Meterez, Sham Kakade +3
cs.LGarXiv:2504.07912v22025
Does Fault Localization Beat a Fresh Attempt? A Placebo-Controlled Study of Test-Guided Code Repair
Anik Jha
cs.SEcs.AIcs.LGarXiv:2609.00854v12026
GraKeL: A Graph Kernel Library in Python
Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios +3
stat.MLcs.LGarXiv:1806.02193v22018
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi, Muhammad Usama, Junaid Qadir +4
cs.LGcs.AIcs.CRarXiv:2001.09684v22020
Transparency and Explanation in Deep Reinforcement Learning Neural Networks
Rahul Iyer, Yuezhang Li, Huao Li +3
cs.LGstat.MLarXiv:1809.06061v12018
Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model
Pavel Filonov, Andrey Lavrentyev, Artem Vorontsov
cs.LGstat.MLarXiv:1612.06676v22016
Hamiltonian Graph Networks with ODE Integrators
Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer +1
cs.LGphysics.comp-pharXiv:1909.12790v12019
Class-Agnostic Counting
Erika Lu, Weidi Xie, Andrew Zisserman
cs.CVcs.LGarXiv:1811.00472v12018
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen +1
cs.CVcs.LGeess.IVarXiv:1911.12529v12019
Learning from Failure: Training Debiased Classifier from Biased Classifier
Junhyun Nam, Hyuntak Cha, Sungsoo Ahn +2
cs.LGstat.MLarXiv:2007.02561v22020
S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models
Muzhi Dai, Chenxu Yang, Qingyi Si
cs.AIcs.LGarXiv:2505.07686v22025
Coarse-Graining Auto-Encoders for Molecular Dynamics
Wujie Wang, Rafael Gómez-Bombarelli
physics.chem-phcs.LGstat.MLarXiv:1812.02706v22018
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction
Christina Wadsworth, Francesca Vera, Chris Piech
cs.LGstat.MLarXiv:1807.00199v12018
A Unified Sequence Interface for Vision Tasks
Ting Chen, Saurabh Saxena, Lala Li +3
cs.CVcs.CLcs.LGarXiv:2206.07669v22022
A Secure Healthcare 5.0 System Based on Blockchain Technology Entangled with Federated Learning Technique
Abdur Rehman, Sagheer Abbas, M. A. Khan +3
cs.LGcs.CRarXiv:2209.09642v12022
How Important is Weight Symmetry in Backpropagation?
Qianli Liao, Joel Z. Leibo, Tomaso Poggio
cs.LGarXiv:1510.05067v42015
Deep Learning Approach to Diabetic Retinopathy Detection
Borys Tymchenko, Philip Marchenko, Dmitry Spodarets
cs.LGstat.MLarXiv:2003.02261v12020
Curriculum Adversarial Training
Qi-Zhi Cai, Min Du, Chang Liu +1
cs.LGcs.CRstat.MLarXiv:1805.04807v12018
PCGRL: Procedural Content Generation via Reinforcement Learning
Ahmed Khalifa, Philip Bontrager, Sam Earle +1
cs.LGcs.AIstat.MLarXiv:2001.09212v32020
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures
Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan +2
cs.CVcs.LGarXiv:1806.08198v22018
CWM: An Open-Weights LLM for Research on Code Generation with World Models
FAIR CodeGen team, Jade Copet, Quentin Carbonneaux +48
cs.SEcs.AIcs.LGarXiv:2510.02387v12025
Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi +2
cs.LGcs.CLarXiv:2504.07952v12025
Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
Lu Ma, Hao Liang, Meiyi Qiang +9
cs.AIcs.LGarXiv:2506.07527v32025
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
Mingyang Song, Zhaochen Su, Xiaoye Qu +2
cs.CLcs.AIcs.LGarXiv:2501.03124v52025
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali +50
cond-mat.mtrl-scics.LGphysics.chem-pharXiv:2306.06283v42023
A Large Scale Event-based Detection Dataset for Automotive
Pierre de Tournemire, Davide Nitti, Etienne Perot +2
cs.CVcs.LGcs.ROarXiv:2001.08499v32020
SoK: Where Do Flow Labels Come From? Auditing Label Provenance in Encrypted Traffic Benchmarks
Sizhe Huang, Shujie Yang
cs.NIcs.LGarXiv:2609.02140v12026
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
Li Zhang, Mingliang Wang, Mingxia Liu +1
eess.IVcs.CVcs.LGarXiv:2005.04573v12020
Technology Readiness Levels for AI & ML
Alexander Lavin, Gregory Renard
cs.SEcs.AIcs.LGarXiv:2006.12497v32020
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding
Zhangchen Xu, Yang Liu, Yueqin Yin +2
cs.LGcs.AIcs.CLarXiv:2503.02951v22025
Higher Structures in Deep Learning
Michael L. Roberts, Carlos Zapata Carratalá. Nicholas J. Cooper, Lijun Chen +2
cs.LGcs.AIarXiv:2609.00472v12026
Flow Matching Policy Gradients
David McAllister, Songwei Ge, Brent Yi +5
cs.LGcs.ROarXiv:2507.21053v22025
BREEDS: Benchmarks for Subpopulation Shift
Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
cs.CVcs.LGstat.MLarXiv:2008.04859v12020
Gated Transformer Networks for Multivariate Time Series Classification
Minghao Liu, Shengqi Ren, Siyuan Ma +4
cs.LGarXiv:2103.14438v12021
Colorization Transformer
Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner
cs.CVcs.AIcs.LGarXiv:2102.04432v22021
Sparse Competition during Training For the Emergence of Specialized Modules
Baptiste Rossigneux, Karim Haroun
cs.LGarXiv:2608.30978v12026
Study-Strategy Clusters from EdNet Logs Track Engagement, Not Mastery
Qingchuan Lyu, Yingxin Li, Albert Yang
cs.LGcs.CYstat.AParXiv:2608.16963v12026
LightMem: Lightweight and Efficient Memory-Augmented Generation
Jizhan Fang, Xinle Deng, Haoming Xu +9
cs.CLcs.AIcs.CVarXiv:2510.18866v42025
VIBE: Visual Instruction Based Editor
Grigorii Alekseenko, Aleksandr Gordeev, Irina Tolstykh +7
cs.CVcs.AIcs.LGarXiv:2601.02242v12026
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting
Sercan O. Arik, Markus Kliegl, Rewon Child +5
cs.CLcs.AIcs.LGarXiv:1703.05390v32017
LIMR: Less is More for RL Scaling
Xuefeng Li, Haoyang Zou, Pengfei Liu
cs.LGcs.AIcs.CLarXiv:2502.11886v12025
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Qinghao Ye, Haiyang Xu, Guohai Xu +15
cs.CLcs.CVcs.LGarXiv:2304.14178v32023
Navigating to Objects in the Real World
Theophile Gervet, Soumith Chintala, Dhruv Batra +2
cs.ROcs.CVcs.LGarXiv:2212.00922v12022
Data Augmentation techniques in time series domain: A survey and taxonomy
Guillermo Iglesias, Edgar Talavera, Ángel González-Prieto +2
cs.LGcs.AIarXiv:2206.13508v42022
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
André M. Carrington, Douglas G. Manuel, Paul W. Fieguth +9
stat.MEcs.AIcs.LGarXiv:2103.11357v12021
DL-Droid: Deep learning based android malware detection using real devices
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
cs.CRcs.LGcs.NEarXiv:1911.10113v12019
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
Yuzheng Li, Chuan Chen, Nan Liu +3
cs.DCcs.LGarXiv:2004.00773v12020
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges
Solmaz Niknam, Harpreet S. Dhillon, Jeffery H. Reed
eess.SPcs.LGstat.MLarXiv:1908.06847v42019
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Alexander Mathis, Steffen Schneider, Jessy Lauer +1
cs.CVcs.LGq-bio.NCarXiv:2009.00564v22020
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Shangqing Liu, Yu Chen, Xiaofei Xie +2
cs.LGcs.AIarXiv:2006.05405v52020
Discovering Hidden Factors of Variation in Deep Networks
Brian Cheung, Jesse A. Livezey, Arjun K. Bansal +1
cs.LGcs.CVcs.NEarXiv:1412.6583v42014
Machine Teaching: A New Paradigm for Building Machine Learning Systems
Patrice Y. Simard, Saleema Amershi, David M. Chickering +8
cs.LGcs.AIcs.HCarXiv:1707.06742v32017
Lost but not erased: Finding traces of a forgotten language in neural speech models
Peter Plantinga, Charlotte Moore, Peter W. Donhauser +2
cs.CLcs.LGarXiv:2608.25976v12026
Knowledge Base Completion: Baselines Strike Back
Rudolf Kadlec, Ondrej Bajgar, Jan Kleindienst
cs.LGcs.AIarXiv:1705.10744v12017
Multi-Agent Risks from Advanced AI
Lewis Hammond, Alan Chan, Jesse Clifton +41
cs.MAcs.AIcs.CYarXiv:2502.14143v12025
Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving
Yong Lin, Shange Tang, Bohan Lyu +8
cs.LGcs.AIarXiv:2502.07640v32025
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
Jyotibdha Acharya, Arindam Basu
eess.AScs.LGcs.SDarXiv:2004.08287v12020
On the Importance of Difficulty Calibration in Membership Inference Attacks
Lauren Watson, Chuan Guo, Graham Cormode +1
cs.CRcs.LGarXiv:2111.08440v22021
Multiple decision trees
Suk Wah Kwok, Chris Carter
cs.LGcs.AIstat.MLarXiv:1304.2363v12013

Machine Learning

Latent Replay for Real-Time Continual Learning

Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

Does Fault Localization Beat a Fresh Attempt? A Placebo-Controlled Study of Test-Guided Code Repair

GraKeL: A Graph Kernel Library in Python

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

Transparency and Explanation in Deep Reinforcement Learning Neural Networks

Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model

Hamiltonian Graph Networks with ODE Integrators

Class-Agnostic Counting

One-Shot Object Detection with Co-Attention and Co-Excitation

Learning from Failure: Training Debiased Classifier from Biased Classifier

S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models

Coarse-Graining Auto-Encoders for Molecular Dynamics

Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction

A Unified Sequence Interface for Vision Tasks

A Secure Healthcare 5.0 System Based on Blockchain Technology Entangled with Federated Learning Technique

How Important is Weight Symmetry in Backpropagation?

Deep Learning Approach to Diabetic Retinopathy Detection

Curriculum Adversarial Training

PCGRL: Procedural Content Generation via Reinforcement Learning

DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures

CWM: An Open-Weights LLM for Research on Code Generation with World Models

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions

PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

A Large Scale Event-based Detection Dataset for Automotive

SoK: Where Do Flow Labels Come From? Auditing Label Provenance in Encrypted Traffic Benchmarks

A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis

Technology Readiness Levels for AI & ML

KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Higher Structures in Deep Learning

Flow Matching Policy Gradients

BREEDS: Benchmarks for Subpopulation Shift

Gated Transformer Networks for Multivariate Time Series Classification

Colorization Transformer

Sparse Competition during Training For the Emergence of Specialized Modules

Study-Strategy Clusters from EdNet Logs Track Engagement, Not Mastery

LightMem: Lightweight and Efficient Memory-Augmented Generation

VIBE: Visual Instruction Based Editor

Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting

LIMR: Less is More for RL Scaling

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Navigating to Objects in the Real World

Data Augmentation techniques in time series domain: A survey and taxonomy

Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation

DL-Droid: Deep learning based android malware detection using real devices

A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus

Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives

Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

Discovering Hidden Factors of Variation in Deep Networks

Machine Teaching: A New Paradigm for Building Machine Learning Systems

Lost but not erased: Finding traces of a forgotten language in neural speech models

Knowledge Base Completion: Baselines Strike Back

Multi-Agent Risks from Advanced AI

Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving

Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning

On the Importance of Difficulty Calibration in Membership Inference Attacks

Multiple decision trees