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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8,461 to 8,520 of 20,221

Molecular graph generation with Graph Neural Networks
Pietro Bongini, Monica Bianchini, Franco Scarselli
stat.MLcs.LGq-bio.BMarXiv:2012.07397v22020
A Review on Methods and Applications in Multimodal Deep Learning
Jabeen Summaira, Xi Li, Amin Muhammad Shoib +1
cs.LGcs.MMarXiv:2202.09195v12022
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
Niels Justesen, Ruben Rodriguez Torrado, Philip Bontrager +3
cs.LGcs.AIstat.MLarXiv:1806.10729v52018
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI, Daya Guo, Dejian Yang +197
cs.CLcs.AIcs.LGarXiv:2501.12948v22025
Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization
Tomaso Poggio, Andrzej Banburski, Qianli Liao
cs.LGstat.MLarXiv:1908.09375v12019
Automated Machine Learning: State-of-The-Art and Open Challenges
Radwa Elshawi, Mohamed Maher, Sherif Sakr
cs.LGstat.MLarXiv:1906.02287v22019
Deep Factors for Forecasting
Yuyang Wang, Alex Smola, Danielle C. Maddix +3
stat.MLcs.LGarXiv:1905.12417v12019
Generative Diffusion Surrogates with Analytical Variance Schedule
Patrick Reichherzer, Gianluca Gregori, David N. Hosking +1
cs.LGastro-ph.IMphysics.plasm-pharXiv:2609.01705v12026
LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B
Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish
cs.LGcs.AIarXiv:2310.20624v22023
Knapsack based Optimal Policies for Budget-Limited Multi-Armed Bandits
Long Tran-Thanh, Archie Chapman, Alex Rogers +1
cs.AIcs.LGarXiv:1204.1909v12012
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
Yuxing Xie, Jiaojiao Tian, Xiao Xiang Zhu
cs.CVcs.LGeess.IVarXiv:1908.08854v32019
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks
Yueyue Dai, Du Xu, Ke Zhang +2
cs.CRcs.LGarXiv:2011.08449v22020
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng, Weili Nie, Arash Vahdat +2
cs.LGcs.CVarXiv:2211.13449v32022
DINOv3
Oriane Siméoni, Huy V. Vo, Maximilian Seitzer +23
cs.CVcs.LGarXiv:2508.10104v12025
Time Travel in LLMs: Tracing Data Contamination in Large Language Models
Shahriar Golchin, Mihai Surdeanu
cs.CLcs.AIcs.CRarXiv:2308.08493v32023
$π_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
Physical Intelligence, Kevin Black, Noah Brown +33
cs.LGcs.ROarXiv:2504.16054v12025
MIDR: Enrichment-Augmented Indexing for Multimodal Document Retrieval
Debanjan Mahata, Atharva Tendle, Daniel Preotiuc-Pietro +2
cs.IRcs.AIcs.CLarXiv:2609.01316v12026
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
Anisha Gunjal, Anthony Wang, Elaine Lau +4
cs.LGcs.AIcs.CLarXiv:2507.17746v22025
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Qiying Yu, Zheng Zhang, Ruofei Zhu +32
cs.LGcs.CLarXiv:2503.14476v22025
Distributed Optimization with Arbitrary Local Solvers
Chenxin Ma, Jakub Konečný, Martin Jaggi +4
cs.LGmath.OCarXiv:1512.04039v22015
Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda
Lionel P. Robert, Casey Pierce, Liz Morris +2
cs.HCcs.AIcs.CYarXiv:2002.09054v12020
Unsupervised Predictive Memory in a Goal-Directed Agent
Greg Wayne, Chia-Chun Hung, David Amos +21
cs.LGstat.MLarXiv:1803.10760v12018
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement
Zheng Zhang, Ying Xu, Yanhao Wang +6
cs.HCcs.AIcs.CLarXiv:2202.06205v22022
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification
Ce Zhang, Young-Keun Kim, Azim Eskandarian
eess.SPcs.HCcs.LGarXiv:2101.10932v32021
MLI: An API for Distributed Machine Learning
Evan R. Sparks, Ameet Talwalkar, Virginia Smith +6
cs.LGcs.DCstat.MLarXiv:1310.5426v22013
Sampling Permutations for Shapley Value Estimation
Rory Mitchell, Joshua Cooper, Eibe Frank +1
stat.MLcs.LGmath.COarXiv:2104.12199v22021
Evaluating Explainability for Graph Neural Networks
Chirag Agarwal, Owen Queen, Himabindu Lakkaraju +1
cs.LGcs.AIarXiv:2208.09339v22022
Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition
Théodore Bluche
cs.CVcs.LGcs.NEarXiv:1604.08352v12016
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
Meirui Jiang, Zirui Wang, Qi Dou
eess.IVcs.AIcs.CVarXiv:2112.10775v32021
Transferring Subspaces Between Subjects in Brain-Computer Interfacing
Wojciech Samek, Frank C. Meinecke, Klaus-Robert Müller
stat.MLcs.HCcs.LGarXiv:1209.4115v22012
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction
Yingheng Wang, Yaosen Min, Xin Chen +1
cs.LGcs.AIarXiv:2010.11711v32020
Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data
Hongda Wu, Ping Wang
cs.LGcs.AIarXiv:2105.07066v32021
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin
Rui Dong, Changyang She, Wibowo Hardjawana +2
eess.SPcs.ITcs.LGarXiv:1907.01523v12019
Label Sanitization against Label Flipping Poisoning Attacks
Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
stat.MLcs.CRcs.LGarXiv:1803.00992v22018
Compositional Exemplars for In-context Learning
Jiacheng Ye, Zhiyong Wu, Jiangtao Feng +2
cs.CLcs.AIcs.LGarXiv:2302.05698v32023
Defending Neural Backdoors via Generative Distribution Modeling
Ximing Qiao, Yukun Yang, Hai Li
cs.LGstat.MLarXiv:1910.04749v22019
Deciphering antibody affinity maturation with language models and weakly supervised learning
Jeffrey A. Ruffolo, Jeffrey J. Gray, Jeremias Sulam
q-bio.BMcs.LGarXiv:2112.07782v12021
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
Chuan Qin, Hengshu Zhu, Tong Xu +4
cs.AIcs.CLcs.LGarXiv:1812.08947v12018
Interpolation-Prediction Networks for Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin M. Marlin
cs.LGstat.MLarXiv:1909.07782v12019
Let Confidence Change, Not the Prediction: Prediction-Preserving Repair for Post-hoc Calibration
Daehwan Kim, Haejun Chung, Ikbeom Jang
cs.LGcs.CVarXiv:2609.01072v22026
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
Jiaxiang Dong, Haixu Wu, Haoran Zhang +3
cs.LGarXiv:2302.00861v42023
Barzilai-Borwein Step Size for Stochastic Gradient Descent
Conghui Tan, Shiqian Ma, Yu-Hong Dai +1
math.OCcs.LGstat.MLarXiv:1605.04131v22016
Adversarial Reprogramming of Neural Networks
Gamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl-Dickstein
cs.LGcs.CRcs.CVarXiv:1806.11146v22018
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
Manqing Dong, Feng Yuan, Lina Yao +2
cs.IRcs.LGstat.MLarXiv:2007.03183v12020
Compile by Training: Turning Natural-Language Specifications into Local Neural Functions
Yuntian Deng, Pengyu Nie, Stuart Shieber
cs.CLcs.AIcs.LGarXiv:2609.04199v12026
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
Liantao Ma, Chaohe Zhang, Yasha Wang +6
cs.LGstat.MLarXiv:1911.12216v12019
Compositional generalization through meta sequence-to-sequence learning
Brenden M. Lake
cs.CLcs.AIcs.LGarXiv:1906.05381v22019
Self-supervised Learning on Graphs: Deep Insights and New Direction
Wei Jin, Tyler Derr, Haochen Liu +4
cs.LGstat.MLarXiv:2006.10141v12020
$QD$-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations
Soummya Kar, Jose' M. F. Moura, H. Vincent Poor
stat.MLcs.LGcs.MAarXiv:1205.0047v22012
SciREX: A Challenge Dataset for Document-Level Information Extraction
Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi +1
cs.CLcs.IRcs.LGarXiv:2005.00512v12020
Behavior Generation with Latent Actions
Seungjae Lee, Yibin Wang, Haritheja Etukuru +3
cs.LGcs.AIcs.ROarXiv:2403.03181v22024
RAVE: A variational autoencoder for fast and high-quality neural audio synthesis
Antoine Caillon, Philippe Esling
cs.LGcs.SDeess.ASarXiv:2111.05011v22021
Factoring nonnegative matrices with linear programs
Victor Bittorf, Benjamin Recht, Christopher Re +1
math.OCcs.LGstat.MLarXiv:1206.1270v22012
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao, Ting Liu, Xi Peng +1
cs.LGcs.CVarXiv:2010.08001v22020
Kernel Instrumental Variable Regression
Rahul Singh, Maneesh Sahani, Arthur Gretton
cs.LGecon.EMmath.FAarXiv:1906.00232v62019
Deep Learning Based Regression and Multi-class Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction
Youjun Xu, Jianfeng Pei, Luhua Lai
stat.MLcs.LGq-bio.QMarXiv:1704.04718v32017
On the Convergence Rate of Training Recurrent Neural Networks
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
cs.LGcs.DScs.NEarXiv:1810.12065v42018
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions
Yanshuai Cao, David J. Fleet
cs.LGcs.AIstat.MLarXiv:1410.7827v22014
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training
Jie You, Jae-Won Chung, Mosharaf Chowdhury
cs.LGcs.AIcs.DCarXiv:2208.06102v22022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit, Adrian Popescu, Hugo Schindler +2
cs.CVcs.AIcs.LGarXiv:2211.13131v22022

Machine Learning

Molecular graph generation with Graph Neural Networks

A Review on Methods and Applications in Multimodal Deep Learning

Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization

Automated Machine Learning: State-of-The-Art and Open Challenges

Deep Factors for Forecasting

Generative Diffusion Surrogates with Analytical Variance Schedule

LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

Knapsack based Optimal Policies for Budget-Limited Multi-Armed Bandits

Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks

Fast Sampling of Diffusion Models via Operator Learning

DINOv3

Time Travel in LLMs: Tracing Data Contamination in Large Language Models

$π_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

MIDR: Enrichment-Augmented Indexing for Multimodal Document Retrieval

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Distributed Optimization with Arbitrary Local Solvers

Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda

Unsupervised Predictive Memory in a Goal-Directed Agent

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification

MLI: An API for Distributed Machine Learning

Sampling Permutations for Shapley Value Estimation

Evaluating Explainability for Graph Neural Networks

Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition

HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images

Transferring Subspaces Between Subjects in Brain-Computer Interfacing

Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction

Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data

Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin

Label Sanitization against Label Flipping Poisoning Attacks

Compositional Exemplars for In-context Learning

Defending Neural Backdoors via Generative Distribution Modeling

Deciphering antibody affinity maturation with language models and weakly supervised learning

Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach

Interpolation-Prediction Networks for Irregularly Sampled Time Series

Let Confidence Change, Not the Prediction: Prediction-Preserving Repair for Post-hoc Calibration

SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling

Barzilai-Borwein Step Size for Stochastic Gradient Descent

Adversarial Reprogramming of Neural Networks

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

Compile by Training: Turning Natural-Language Specifications into Local Neural Functions

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context

Compositional generalization through meta sequence-to-sequence learning

Self-supervised Learning on Graphs: Deep Insights and New Direction

$QD$-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations

SciREX: A Challenge Dataset for Document-Level Information Extraction

Behavior Generation with Latent Actions

RAVE: A variational autoencoder for fast and high-quality neural audio synthesis

Factoring nonnegative matrices with linear programs

Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness

Kernel Instrumental Variable Regression

Deep Learning Based Regression and Multi-class Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction

On the Convergence Rate of Training Recurrent Neural Networks

Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training

FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning