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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23,461 to 23,520 of 33,218

NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems
Sarmistha Sarna Gomasta, Bhawana Chhaglani, Prashant Shenoy
cs.CRcs.HCcs.LGarXiv:2609.00390v12026
Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning
Zuobin Xiong, Deval Mukherjee, Homook Cho +1
cs.LGcs.CRarXiv:2608.25133v12026
SpecTr: Fast Speculative Decoding via Optimal Transport
Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro +3
cs.LGcs.CLcs.DSarXiv:2310.15141v22023
Pairton: Iterative Reconstruction of Short-Lived Particles
Andreas Hermansen, Chris Scheulen, Tobias Golling
hep-phcs.LGhep-exarXiv:2608.14278v12026
How and Why LLMs Generalize: A Fine-Grained Analysis of LLM Reasoning from Cognitive Behaviors to Low-Level Patterns
Haoyue Bai, Yiyou Sun, Wenjie Hu +5
cs.LGarXiv:2512.24063v12025
How to estimate carbon footprint when training deep learning models? A guide and review
Lucia Bouza Heguerte, Aurélie Bugeau, Loïc Lannelongue
cs.LGcs.AIcs.CYarXiv:2306.08323v22023
When and Where to Trust the Teacher: Unifying On-Policy Distillation and GRPO through Entropy-Calibrated Credit Assignment
Jie Zhang, Jingxiao Yang, Zhehao Huang +2
cs.LGcs.AIarXiv:2609.28385v12026
Prediction and Clustering in Signed Networks: A Local to Global Perspective
Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan +2
cs.SIcs.LGarXiv:1302.5145v22013
Olmix: A Framework for Data Mixing Throughout LM Development
Mayee F. Chen, Tyler Murray, David Heineman +5
cs.LGcs.AIcs.CLarXiv:2602.12237v12026
Counterfactual Explainable Recommendation
Juntao Tan, Shuyuan Xu, Yingqiang Ge +3
cs.IRcs.LGarXiv:2108.10539v32021
GRNet: Gridding Residual Network for Dense Point Cloud Completion
Haozhe Xie, Hongxun Yao, Shangchen Zhou +3
cs.CVcs.LGeess.IVarXiv:2006.03761v42020
CASTER: Predicting Drug Interactions with Chemical Substructure Representation
Kexin Huang, Cao Xiao, Trong Nghia Hoang +2
cs.LGq-bio.QMstat.MLarXiv:1911.06446v22019
Not too little, not too much: a theoretical analysis of graph (over)smoothing
Nicolas Keriven
stat.MLcs.LGarXiv:2205.12156v22022
Fidelity-Aware Recommendation Explanations via Stochastic Path Integration
Oren Barkan, Yahlly Schein, Yehonatan Elisha +3
cs.IRcs.AIcs.LGarXiv:2511.18047v12025
MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
Hui Chen, Miao Xiong, Yujie Lu +7
cs.LGcs.AIcs.CLarXiv:2505.19955v32025
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
Erik Johannes Husom, Arda Goknil, Merve Astekin +5
cs.CYcs.AIcs.CLarXiv:2504.03360v12025
Personalized Federated Learning for Generative AI-Assisted Semantic Communications
Yubo Peng, Feibo Jiang, Li Dong +2
cs.LGcs.DCcs.ITarXiv:2410.02450v12024
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
cs.CLcs.LGstat.MLarXiv:2010.00577v32020
Exploring MLLM-Diffusion Information Transfer with MetaCanvas
Han Lin, Xichen Pan, Ziqi Huang +10
cs.CVcs.AIcs.LGarXiv:2512.11464v12025
Very Deep Convolutional Neural Networks for Raw Waveforms
Wei Dai, Chia Dai, Shuhui Qu +2
cs.SDcs.LGcs.NEarXiv:1610.00087v12016
Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model Systems
Sajjad Khan
cs.LGcs.DCcs.LOarXiv:2606.17182v12026
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
Cem Anil, Ashwini Pokle, Kaiqu Liang +5
cs.LGstat.MLarXiv:2211.09961v12022
MoZoo:Unleashing Video Diffusion power in animal fur and muscle simulation
Dongxia Liu, Jie Ma, Xiaochen Yang +7
cs.GRcs.CVcs.LGarXiv:2605.13857v12026
Efficient Low Rank Tensor Ring Completion
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron
cs.LGcs.ITarXiv:1707.08184v12017
Machine Learning with Membership Privacy using Adversarial Regularization
Milad Nasr, Reza Shokri, Amir Houmansadr
stat.MLcs.CRcs.LGarXiv:1807.05852v12018
Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments
Fei Xia, William B. Shen, Chengshu Li +6
cs.ROcs.AIcs.CVarXiv:1910.14442v32019
Tabular Foundation Models are Strong Graph Anomaly Detectors
Yunhui Liu, Tieke He, Yongchao Liu +3
cs.LGarXiv:2601.17301v12026
Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought
Hanlin Zhu, Shibo Hao, Zhiting Hu +3
cs.LGarXiv:2505.12514v32025
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Mantas Mazeika, Saurav Kadavath +1
cs.LGcs.CVstat.MLarXiv:1906.12340v22019
Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests
Thanawat Lodkaew, Johannes Ackermann, Soichiro Nishimori +3
cs.LGcs.AIcs.CLarXiv:2606.07379v22026
On-Policy Delta Distillation for Multilingual Math Reasoning
Byeongho Heo, Jaehui Hwang, Sangdoo Yun +1
cs.CLcs.LGarXiv:2608.05802v12026
FRESHLATENT: Channel-Aware Latent Adaptation for Resource-Constrained Embodied VLM Perception
Rajat Bhattacharjya, Minwoo Kim, Arnab Sarkar +5
eess.SPcs.CVcs.DCarXiv:2609.30629v12026
CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training
Jing Li, Jian Meng, Yingmeng Gao +8
cs.LGcs.AIarXiv:2610.05744v12026
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
Tae Ha Park, Marcus Märtens, Gurvan Lecuyer +2
cs.CVcs.LGarXiv:2110.03101v22021
LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
Joon Sung Park, Carolyn Q. Zou, Jonne Kamphorst +8
cs.AIcs.HCcs.LGarXiv:2411.10109v32024
Just Weather Scoring: Efficient End-to-end Nowcasting with Distributional Diffusion
Jannik Wiese, Johannes Schusterbauer, Tommaso Martorella +1
cs.LGcs.CVarXiv:2610.12189v12026
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
Marc Brockschmidt
cs.LGstat.MLarXiv:1906.12192v52019
Sharp analysis of low-rank kernel matrix approximations
Francis Bach
cs.LGmath.STarXiv:1208.2015v32012
Incremental Learning Through Deep Adaptation
Amir Rosenfeld, John K. Tsotsos
cs.CVcs.LGarXiv:1705.04228v22017
Multimodal Model Diffing for Feature Discovery and Control
Hunar Batra, Lachin Naghashyar, Ashkan Khakzar +4
cs.CVcs.AIcs.CLarXiv:2608.09928v12026
Latent unified smooth Hamiltonians for excited state chemistry
David Juergens, Martin Stöhr, Andreas E. Hillers-Bendtsen +2
physics.chem-phcs.LGarXiv:2609.01871v12026
Meta-learning via Language Model In-context Tuning
Yanda Chen, Ruiqi Zhong, Sheng Zha +2
cs.CLcs.LGarXiv:2110.07814v22021
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Diederik P. Kingma, Ruiqi Gao
cs.LGcs.AIstat.MLarXiv:2303.00848v72023
Steered LLM Activations are Non-Surjective
Aayush Mishra, Daniel Khashabi, Anqi Liu
cs.AIcs.LGarXiv:2604.09839v22026
Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates
Hui Wei, Licai Sun, Guoying Zhao
cs.CVcs.LGarXiv:2608.21160v12026
Do LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework
Subavarshana Arumugam, Mamta Nallaretnam, Kithuni Wickramasinghe +4
cs.AIcs.LGarXiv:2609.30484v12026
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi, Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.ROarXiv:1812.07671v22018
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components
Cumhur Erkan Tuncali, Georgios Fainekos, Danil Prokhorov +2
cs.ROcs.LGcs.SEarXiv:1908.01094v12019
How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance
Jerry Y. Huang, Justin Lin, Sheel Shah +2
cs.LGcs.AIarXiv:2604.27147v32026
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel
Tai Qin, Karl Rohe
stat.MLcs.LGmath.STarXiv:1309.4111v12013
Risk and parameter convergence of logistic regression
Ziwei Ji, Matus Telgarsky
cs.LGmath.OCstat.MLarXiv:1803.07300v32018
Mixture of Channel Experts: Static Sparse Supports with Input-Adaptive Mixing for Pointwise Projections
Elian Iluk, Gil Ben-Artzi
cs.LGcs.CVarXiv:2608.23794v12026
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
cs.LGcs.DScs.NEarXiv:1811.04918v62018
Conformal Prediction: a Unified Review of Theory and New Challenges
Matteo Fontana, Gianluca Zeni, Simone Vantini
cs.LGecon.EMstat.MEarXiv:2005.07972v22020
A Survey on Time-Series Pre-Trained Models
Qianli Ma, Zhen Liu, Zhenjing Zheng +4
cs.LGcs.AIarXiv:2305.10716v22023
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Limeng Qiao, Yemin Shi, Jia Li +3
cs.LGcs.CVarXiv:1910.02224v12019
Building Machines that Learn and Think with People
Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt +10
cs.HCcs.AIcs.LGarXiv:2408.03943v12024
When KL Regularization Misfires in Group Policy Optimization
Fei Ding
cs.LGcs.CLarXiv:2610.12161v12026
TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement
Karim Aly, Alexei Sharpanskykh, Jacco Hoekstra
cs.LGcs.AIarXiv:2608.11951v12026
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
Brian Kenji Iwana, Seiichi Uchida
cs.LGstat.MLarXiv:2007.15951v42020

Machine Learning

NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems

Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning

SpecTr: Fast Speculative Decoding via Optimal Transport

Pairton: Iterative Reconstruction of Short-Lived Particles

How and Why LLMs Generalize: A Fine-Grained Analysis of LLM Reasoning from Cognitive Behaviors to Low-Level Patterns

How to estimate carbon footprint when training deep learning models? A guide and review

When and Where to Trust the Teacher: Unifying On-Policy Distillation and GRPO through Entropy-Calibrated Credit Assignment

Prediction and Clustering in Signed Networks: A Local to Global Perspective

Olmix: A Framework for Data Mixing Throughout LM Development

Counterfactual Explainable Recommendation

GRNet: Gridding Residual Network for Dense Point Cloud Completion

CASTER: Predicting Drug Interactions with Chemical Substructure Representation

Not too little, not too much: a theoretical analysis of graph (over)smoothing

Fidelity-Aware Recommendation Explanations via Stochastic Path Integration

MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research

Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency

Personalized Federated Learning for Generative AI-Assisted Semantic Communications

Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

Exploring MLLM-Diffusion Information Transfer with MetaCanvas

Very Deep Convolutional Neural Networks for Raw Waveforms

Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model Systems

Path Independent Equilibrium Models Can Better Exploit Test-Time Computation

MoZoo:Unleashing Video Diffusion power in animal fur and muscle simulation

Efficient Low Rank Tensor Ring Completion

Machine Learning with Membership Privacy using Adversarial Regularization

Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments

Tabular Foundation Models are Strong Graph Anomaly Detectors

Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought

Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests

On-Policy Delta Distillation for Multilingual Math Reasoning

FRESHLATENT: Channel-Aware Latent Adaptation for Resource-Constrained Embodied VLM Perception

CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Just Weather Scoring: Efficient End-to-end Nowcasting with Distributional Diffusion

GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation

Sharp analysis of low-rank kernel matrix approximations

Incremental Learning Through Deep Adaptation

Multimodal Model Diffing for Feature Discovery and Control

Latent unified smooth Hamiltonians for excited state chemistry

Meta-learning via Language Model In-context Tuning

Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation

Steered LLM Activations are Non-Surjective

Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates

Do LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework

Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL

Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance

Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel

Risk and parameter convergence of logistic regression

Mixture of Channel Experts: Static Sparse Supports with Input-Adaptive Mixing for Pointwise Projections

Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers

Conformal Prediction: a Unified Review of Theory and New Challenges

A Survey on Time-Series Pre-Trained Models

Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning

Building Machines that Learn and Think with People

When KL Regularization Misfires in Group Policy Optimization

TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement

An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks