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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25,081 to 25,140 of 33,351

Learning Domain-Invariant Subspace using Domain Features and Independence Maximization
Ke Yan, Lu Kou, David Zhang
cs.CVcs.AIcs.LGarXiv:1603.04535v22016
Deep Learning on Graphs: A Survey
Ziwei Zhang, Peng Cui, Wenwu Zhu
cs.LGcs.SIstat.MLarXiv:1812.04202v32018
FlexGuard: Continuous Risk Scoring for Strictness-Adaptive LLM Content Moderation
Zhihao Ding, Jinming Li, Ze Lu +1
cs.LGcs.AIarXiv:2602.23636v32026
Protection Against Reconstruction and Its Applications in Private Federated Learning
Abhishek Bhowmick, John Duchi, Julien Freudiger +2
stat.MLcs.LGarXiv:1812.00984v22018
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Wei Liu, Weihao Zeng, Keqing He +2
cs.CLcs.AIcs.LGarXiv:2312.15685v22023
Reinforcement Learning with Augmented Data
Michael Laskin, Kimin Lee, Adam Stooke +3
cs.LGstat.MLarXiv:2004.14990v52020
Choosing How to Remember: Adaptive Memory Structures for LLM Agents
Mingfei Lu, Mengjia Wu, Feng Liu +8
cs.AIcs.LGarXiv:2602.14038v12026
Diffusion Distillation for Efficient Weather Ensembles
Yiming Yang, Valentin Brekke, James Briant +1
cs.LGstat.AParXiv:2608.27728v12026
Group Sequence Policy Optimization
Chujie Zheng, Shixuan Liu, Mingze Li +9
cs.LGcs.AIcs.CLarXiv:2507.18071v22025
Remember What You Want to Forget: Algorithms for Machine Unlearning
Ayush Sekhari, Jayadev Acharya, Gautam Kamath +1
cs.LGcs.AIarXiv:2103.03279v22021
Item2Vec: Neural Item Embedding for Collaborative Filtering
Oren Barkan, Noam Koenigstein
cs.LGcs.AIcs.IRarXiv:1603.04259v32016
No-Press Diplomacy from Scratch
Anton Bakhtin, David Wu, Adam Lerer +1
cs.LGcs.AIcs.GTarXiv:2110.02924v12021
Horovod: fast and easy distributed deep learning in TensorFlow
Alexander Sergeev, Mike Del Balso
cs.LGstat.MLarXiv:1802.05799v32018
Edge Impulse: An MLOps Platform for Tiny Machine Learning
Shawn Hymel, Colby Banbury, Daniel Situnayake +13
cs.DCcs.LGcs.SEarXiv:2212.03332v32022
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
Songqiao Su, Xiaoya Li, Albert Wang +3
cs.LGcs.AIarXiv:2512.02551v42025
A Unified Information-Theoretic Approach to Constrained Multi-Fidelity Multi-Objective Bayesian Optimization
Rikuto Matsumoto, Masanori Ishikura, Masayuki Karasuyama
cs.LGarXiv:2610.10174v12026
Revisiting Pre-trained Language Models for Vulnerability Detection
Youpeng Li, Weiliang Qi, Xuyu Wang +2
cs.CRcs.AIcs.LGarXiv:2507.16887v22025
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu, Yaohua Liu, Shangzhi Zeng +1
cs.LGarXiv:2110.00455v22021
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Tengfei Ma, Jie Chen, Cao Xiao
cs.LGstat.MLarXiv:1809.02630v22018
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Yuxuan Liang, Yutong Xia, Songyu Ke +5
eess.SPcs.LGarXiv:2211.15979v12022
Retrieval Capacity of Self-Attention Under Competition
Timur Mudarisov, Mikhail Burtsev, Radu State
cs.CLcs.LGarXiv:2609.37879v12026
Accelerating the Adoption of Residential Solar Power Systems: Policy Analysis using a Dynamic Structural Model
Sebastián Souyris, Jason A. Duan, Anantaram Balakrishnan +1
econ.EMcs.LGstat.AParXiv:2608.23796v12026
Winner's Curse Drives False Promises in Data-Driven Decisions: A Case Study in Refugee Matching
Hamsa Bastani, Osbert Bastani, Bryce McLaughlin
stat.MLcs.LGecon.EMarXiv:2602.08892v12026
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu, Peng Zhou, Zhe Zhao +4
cs.CLcs.LGarXiv:1909.07606v12019
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph
Mengying Sun, Jing Xing, Huijun Wang +2
physics.bio-phcs.LGarXiv:2106.04509v22021
Graph U-Nets
Hongyang Gao, Shuiwang Ji
cs.LGstat.MLarXiv:1905.05178v12019
Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs
Yukun Jiang, Hai Huang, Mingjie Li +3
cs.LGcs.AIcs.CRarXiv:2602.08621v12026
Multi-view Low-rank Sparse Subspace Clustering
Maria Brbic, Ivica Kopriva
cs.CVcs.LGmath.OCarXiv:1708.08732v12017
Communication Algorithms via Deep Learning
Hyeji Kim, Yihan Jiang, Ranvir Rana +3
stat.MLcs.LGarXiv:1805.09317v12018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar, Pin-Yu Chen, Ronny Luss +4
cs.AIcs.CVcs.LGarXiv:1802.07623v22018
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm
Julian P. Merkofer, Guy Revach, Nir Shlezinger +2
eess.SPcs.LGarXiv:2109.10581v52021
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Chumeng Liang, Xiaoyu Wu, Yang Hua +6
cs.CVcs.AIcs.CRarXiv:2302.04578v22023
Online Gradient Boosting
Alina Beygelzimer, Elad Hazan, Satyen Kale +1
cs.LGarXiv:1506.04820v22015
A generic framework for privacy preserving deep learning
Theo Ryffel, Andrew Trask, Morten Dahl +4
cs.LGcs.CRstat.MLarXiv:1811.04017v22018
GLaS-JEPA: Gaussian-Regularized Speech SSL without Engineered Prediction Targets
Gaspard Botté, Séverin Baroudi, Samir Sadok +5
eess.AScs.AIcs.LGarXiv:2609.37798v12026
Evaluation of Text Generation: A Survey
Asli Celikyilmaz, Elizabeth Clark, Jianfeng Gao
cs.CLcs.LGarXiv:2006.14799v22020
Learning to Reason under Off-Policy Guidance
Jianhao Yan, Yafu Li, Zican Hu +5
cs.LGcs.AIcs.CLarXiv:2504.14945v52025
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles
Ziyuan Zhong, Gail Kaiser, Baishakhi Ray
cs.SEcs.LGcs.NEarXiv:2109.06126v42021
Optimizing Few-Step Generation with Adaptive Matching Distillation
Lichen Bai, Zikai Zhou, Shitong Shao +5
cs.CVcs.LGarXiv:2602.07345v22026
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
Xiaoyu Tao, Mingyue Cheng, Ze Guo +4
cs.LGcs.AIarXiv:2602.03164v22026
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh +2
cs.LGcs.AIcs.IRarXiv:1602.05352v22016
Discrete Diffusion Models via Evolving Variational Autoregressive Networks
Kewen Pan, Ying Tang
cs.LGcond-mat.dis-nnstat.MLarXiv:2609.27306v12026
CoQA: A Conversational Question Answering Challenge
Siva Reddy, Danqi Chen, Christopher D. Manning
cs.CLcs.AIcs.LGarXiv:1808.07042v22018
OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents
Rui Yang, Qianhui Wu, Yuxi Chen +7
cs.LGcs.AIcs.CLarXiv:2606.02031v22026
RAPTOR: Ridge-Adaptive Logistic Probes
Ziqi Gao, Yaotian Zhu, Qingcheng Zeng +4
cs.LGcs.AIarXiv:2602.00158v22026
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding
Xiang Ren, Wenqi He, Meng Qu +3
cs.CLcs.LGarXiv:1602.05307v12016
ECG Heartbeat Classification: A Deep Transferable Representation
Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh
cs.CYcs.LGstat.MLarXiv:1805.00794v22018
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu, Takeru Miyato, Seiya Tokui +2
stat.MLcs.LGarXiv:1702.08720v32017
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
Gongfan Fang, Hongxu Yin, Saurav Muralidharan +5
cs.AIcs.CLcs.LGarXiv:2409.17481v22024
Prompt Engineering a Prompt Engineer
Qinyuan Ye, Maxamed Axmed, Reid Pryzant +1
cs.CLcs.AIcs.LGarXiv:2311.05661v32023
Evaluating Dynamical Fidelity through Predictive Structure in Physical Representations
Oskar Bohn Lassen, Joao Paulo de Souza Boger, Simon Driscoll +4
cs.LGarXiv:2609.34627v12026
Improved Mean Flows: On the Challenges of Fastforward Generative Models
Zhengyang Geng, Yiyang Lu, Zongze Wu +3
cs.CVcs.LGarXiv:2512.02012v22025
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian, Kexin Pei, Suman Jana +1
cs.SEcs.AIcs.LGarXiv:1708.08559v22017
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods
Evan Crothers, Nathalie Japkowicz, Herna Viktor
cs.CLcs.CRcs.CYarXiv:2210.07321v42022
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation
Benjamin Scellier, Yoshua Bengio
cs.LGarXiv:1602.05179v52016
Rademacher Complexity for Adversarially Robust Generalization
Dong Yin, Kannan Ramchandran, Peter Bartlett
cs.LGcs.CRcs.NEarXiv:1810.11914v42018
Measuring the Intrinsic Dimension of Objective Landscapes
Chunyuan Li, Heerad Farkhoor, Rosanne Liu +1
cs.LGcs.NEstat.MLarXiv:1804.08838v12018
Self-attention for raw optical Satellite Time Series Classification
Marc Rußwurm, Marco Körner
cs.LGeess.IVstat.MLarXiv:1910.10536v32019
Structure alone supports efficient visual computation in the Drosophila visual system
Eudald Correig-Fraga, Roger Guimerà, Marta Sales-Pardo
q-bio.NCcond-mat.dis-nncs.LGarXiv:2610.10023v12026
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu, Edgar Dobriban, Susan B. Davidson
cs.LGstat.MLarXiv:2006.14755v22020

Machine Learning

Learning Domain-Invariant Subspace using Domain Features and Independence Maximization

Deep Learning on Graphs: A Survey

FlexGuard: Continuous Risk Scoring for Strictness-Adaptive LLM Content Moderation

Protection Against Reconstruction and Its Applications in Private Federated Learning

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Reinforcement Learning with Augmented Data

Choosing How to Remember: Adaptive Memory Structures for LLM Agents

Diffusion Distillation for Efficient Weather Ensembles

Group Sequence Policy Optimization

Remember What You Want to Forget: Algorithms for Machine Unlearning

Item2Vec: Neural Item Embedding for Collaborative Filtering

No-Press Diplomacy from Scratch

Horovod: fast and easy distributed deep learning in TensorFlow

Edge Impulse: An MLOps Platform for Tiny Machine Learning

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

A Unified Information-Theoretic Approach to Constrained Multi-Fidelity Multi-Objective Bayesian Optimization

Revisiting Pre-trained Language Models for Vulnerability Detection

Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders

AirFormer: Predicting Nationwide Air Quality in China with Transformers

Retrieval Capacity of Self-Attention Under Competition

Accelerating the Adoption of Residential Solar Power Systems: Policy Analysis using a Dynamic Structural Model

Winner's Curse Drives False Promises in Data-Driven Decisions: A Case Study in Refugee Matching

K-BERT: Enabling Language Representation with Knowledge Graph

MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph

Graph U-Nets

Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs

Multi-view Low-rank Sparse Subspace Clustering

Communication Algorithms via Deep Learning

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

Online Gradient Boosting

A generic framework for privacy preserving deep learning

GLaS-JEPA: Gaussian-Regularized Speech SSL without Engineered Prediction Targets

Evaluation of Text Generation: A Survey

Learning to Reason under Off-Policy Guidance

Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles

Optimizing Few-Step Generation with Adaptive Matching Distillation

MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning

Recommendations as Treatments: Debiasing Learning and Evaluation

Discrete Diffusion Models via Evolving Variational Autoregressive Networks

CoQA: A Conversational Question Answering Challenge

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

RAPTOR: Ridge-Adaptive Logistic Probes

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

ECG Heartbeat Classification: A Deep Transferable Representation

Learning Discrete Representations via Information Maximizing Self-Augmented Training

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

Prompt Engineering a Prompt Engineer

Evaluating Dynamical Fidelity through Predictive Structure in Physical Representations

Improved Mean Flows: On the Challenges of Fastforward Generative Models

DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation

Rademacher Complexity for Adversarially Robust Generalization

Measuring the Intrinsic Dimension of Objective Landscapes

Self-attention for raw optical Satellite Time Series Classification

Structure alone supports efficient visual computation in the Drosophila visual system

DeltaGrad: Rapid retraining of machine learning models