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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27,241 to 27,300 of 33,120

Pool-Based Sequential Active Learning for Regression
Dongrui Wu
cs.LGstat.MLarXiv:1805.04735v12018
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
Sixiao Zhang, Hongxu Chen, Xiao Ming +3
cs.IRcs.LGarXiv:2105.08908v12021
Behavior Knowledge Merge in Reinforced Agentic Models
Xiangchi Yuan, Dachuan Shi, Chunhui Zhang +4
cs.LGarXiv:2601.13572v12026
Theoretical Limitations of Self-Attention in Neural Sequence Models
Michael Hahn
cs.CLcs.FLcs.LGarXiv:1906.06755v22019
Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications
Li Wei, Chongwen Huang, George C. Alexandropoulos +3
cs.ITcs.LGeess.SParXiv:2008.01459v22020
Diffusion Reward: Learning Rewards via Conditional Video Diffusion
Tao Huang, Guangqi Jiang, Yanjie Ze +1
cs.LGcs.CVcs.ROarXiv:2312.14134v32023
Agents' Last Exam
Yiyou Sun, Xinyang Han, Weichen Zhang +307
cs.AIcs.CLcs.LGarXiv:2606.05405v22026
TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents
Leitian Tao, Baolin Peng, Wenlin Yao +5
cs.LGarXiv:2607.13988v12026
ESS: Learning Event-based Semantic Segmentation from Still Images
Zhaoning Sun, Nico Messikommer, Daniel Gehrig +1
cs.CVcs.LGarXiv:2203.10016v22022
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning
Lynn Chua, Badih Ghazi, Yangsibo Huang +6
cs.CLcs.CRcs.LGarXiv:2406.14322v32024
Diffusion-Based Synthetic Data Pretraining for Enhancing Activity Recognition
E. Riveros, D. Vega-Oliveros, A. Soriano-Vargas +1
cs.LGcs.AIarXiv:2610.02292v12026
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut +2
cs.CLcs.LGarXiv:2104.06378v52021
HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos
Zhi Wang, Botao He, Kelin Yu +4
cs.ROcs.AIcs.CVarXiv:2605.24934v32026
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler, Rob Fergus
cs.LGcs.NEstat.MLarXiv:1301.3557v12013
Goodhart's Law in Reinforcement Learning
Jacek Karwowski, Oliver Hayman, Xingjian Bai +3
cs.LGarXiv:2310.09144v12023
It Takes Two: Your GRPO Is Secretly DPO
Yihong Wu, Liheng Ma, Lei Ding +9
cs.LGcs.CLarXiv:2510.00977v32025
Document Ranking with a Pretrained Sequence-to-Sequence Model
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin
cs.IRcs.LGarXiv:2003.06713v12020
Aether: Geometric-Aware Unified World Modeling
Aether Team, Haoyi Zhu, Yifan Wang +8
cs.CVcs.AIcs.LGarXiv:2503.18945v32025
Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks
Orestis Tsinalis, Paul M. Matthews, Yike Guo +1
stat.MLcs.LGarXiv:1610.01683v12016
One Basis to Animate Them All: Gaussian Blendshape Distillation for Real-Time Avatars
Ramazan Fazylov, Stamatis Lefkimmiatis, Ivan Laptev
cs.CVcs.AIcs.HCarXiv:2610.02207v12026
LEVER: Learning to Verify Language-to-Code Generation with Execution
Ansong Ni, Srini Iyer, Dragomir Radev +4
cs.LGcs.CLcs.PLarXiv:2302.08468v32023
Dataless Knowledge Fusion by Merging Weights of Language Models
Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro +1
cs.CLcs.LGarXiv:2212.09849v62022
Rank1: Test-Time Compute for Reranking in Information Retrieval
Orion Weller, Kathryn Ricci, Eugene Yang +3
cs.IRcs.CLcs.LGarXiv:2502.18418v22025
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
Heli Ben-Hamu, Itai Gat, Daniel Severo +2
cs.LGarXiv:2505.24857v12025
Embedding Prediction Helps Image Generation
Sihan Xu, Ji Xie, Zilin Wang +2
cs.CVcs.LGarXiv:2610.02203v12026
HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout Trees
Boyuan Meng, Peihua Bao, Hong Liu +4
cs.LGcs.DCarXiv:2608.28158v12026
Learning Long-Term Dependencies in Irregularly-Sampled Time Series
Mathias Lechner, Ramin Hasani
cs.LGstat.MLarXiv:2006.04418v42020
Rewarding High-Quality Data via Influence Functions
Adam Richardson, Aris Filos-Ratsikas, Boi Faltings
cs.LGcs.AIstat.MLarXiv:1908.11598v12019
Adaptive Rule Discovery for Labeling Text Data
Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan
cs.DBcs.LGarXiv:2005.06133v12020
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning
Haodong Zhao, Wei Du, Fangqi Li +2
cs.LGcs.AIcs.CRarXiv:2208.12268v32022
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
Haichao Zhang, Jianyu Wang
cs.CVcs.CRcs.LGarXiv:1907.10764v42019
Every Ablation Is a Dose: Counterweights and the Semblance of Self-Repair
Areeb Ahmad, Pratinav Seth, Vinay Kumar Sankarapu
cs.LGcs.CLarXiv:2610.02173v12026
Preconditioning Benefits of Spectral Orthogonalization in Muon
Jianhao Ma, Yu Huang, Yuejie Chi +1
cs.LGcs.AImath.OCarXiv:2601.13474v12026
What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
Federico Errica, Giuseppe Siracusano, Davide Sanvito +1
cs.LGcs.SEarXiv:2406.12334v42024
Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions
Kaifeng Zhang, Shuo Sha, Hanxiao Jiang +7
cs.ROcs.CVcs.LGarXiv:2511.04665v22025
FedPS: Federated data Preprocessing via aggregated Statistics
Xuefeng Xu, Graham Cormode
cs.LGcs.AIarXiv:2602.10870v12026
Label-Free Concept Bottleneck Models
Tuomas Oikarinen, Subhro Das, Lam M. Nguyen +1
cs.LGcs.CVarXiv:2304.06129v22023
DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Kyungeun Lee, Wonjong Rhee
cs.LGeess.SParXiv:1905.12256v32019
Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function
Christopher Subich, Syed Zahid Husain, Leo Separovic +1
cs.LGphysics.ao-pharXiv:2501.19374v22025
Transcendence: Generative Models Can Outperform The Experts That Train Them
Edwin Zhang, Vincent Zhu, Naomi Saphra +5
cs.LGcs.AIarXiv:2406.11741v42024
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
Jimmy Ba, Kevin Swersky, Sanja Fidler +1
cs.LGcs.CVcs.NEarXiv:1506.00511v22015
Continuously Indexed Domain Adaptation
Hao Wang, Hao He, Dina Katabi
cs.LGcs.CVcs.NEarXiv:2007.01807v22020
Reasoning to Learn from Latent Thoughts
Yangjun Ruan, Neil Band, Chris J. Maddison +1
cs.LGcs.AIcs.CLarXiv:2503.18866v22025
From Knowledge Access to Source Learning: Developing Source-Specific Competence
Lucheng Fu, Kejing Xia, Yiyang Wang +10
cs.CLcs.AIcs.LGarXiv:2610.02150v12026
Looking Ahead and Back: Anticipatory Generative Modeling for Road-Network Trajectories
Zhenhao Huang, Li Sun, Philip S. Yu
cs.AIcs.LGarXiv:2610.13131v12026
LLaGA: Large Language and Graph Assistant
Runjin Chen, Tong Zhao, Ajay Jaiswal +2
cs.LGcs.AIarXiv:2402.08170v32024
Fuzzy-MoE: Interpretable Regime-Conditioned Expert Routing for Non-Stationary Multivariate Time Series Forecasting
Lan Guo, Jie Xiao, Zhao Su +5
cs.LGcs.AIarXiv:2608.20761v12026
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza +5
cs.LGarXiv:1602.01783v22016
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations
Qianxiao Li, Cheng Tai, Weinan E
cs.LGstat.MLarXiv:1811.01558v12018
The case for 4-bit precision: k-bit Inference Scaling Laws
Tim Dettmers, Luke Zettlemoyer
cs.LGcs.NEarXiv:2212.09720v22022
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
Ming Jin, Yizhen Zheng, Yuan-Fang Li +3
cs.LGcs.SIarXiv:2105.05682v22021
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
Ziyi Wu, Yulia Rubanova, Rishabh Kabra +6
cs.CVcs.AIcs.LGarXiv:2406.09292v22024
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds
Shusen Wang, Alex Gittens, Michael W. Mahoney
cs.LGstat.MLarXiv:1706.02803v42017
ReMAP: Self-supervised learning to unveil brain representations and vulnerability
Jade Perdereau, Virginie Loison, Kanssa El Ayeb +5
cs.LGarXiv:2608.22042v12026
Text2Action: Generative Adversarial Synthesis from Language to Action
Hyemin Ahn, Timothy Ha, Yunho Choi +2
cs.LGcs.CLcs.ROarXiv:1710.05298v22017
Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs with Synthetic Scenes
Sophia Sirko-Galouchenko, Monika Wysoczanska, Andrei Bursuc +2
cs.CVcs.AIcs.CLarXiv:2610.02117v12026
Improving Inference for Neural Image Compression
Yibo Yang, Robert Bamler, Stephan Mandt
eess.IVcs.LGstat.MLarXiv:2006.04240v42020
A Path Integral Surrogate for Multi-Step Gradient Inversion in Federated Learning
Agnivo Ghosh, Saumik Bhattacharya
cs.LGcs.DCarXiv:2610.03597v12026
Learning heat diffusion graphs
Dorina Thanou, Xiaowen Dong, Daniel Kressner +1
cs.LGcs.SIstat.MLarXiv:1611.01456v12016
Computing a Nonnegative Matrix Factorization -- Provably
Sanjeev Arora, Rong Ge, Ravi Kannan +1
cs.DScs.LGarXiv:1111.0952v12011

Machine Learning

Pool-Based Sequential Active Learning for Regression

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems

Behavior Knowledge Merge in Reinforced Agentic Models

Theoretical Limitations of Self-Attention in Neural Sequence Models

Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications

Diffusion Reward: Learning Rewards via Conditional Video Diffusion

Agents' Last Exam

TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents

ESS: Learning Event-based Semantic Segmentation from Still Images

Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning

Diffusion-Based Synthetic Data Pretraining for Enhancing Activity Recognition

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos

Stochastic Pooling for Regularization of Deep Convolutional Neural Networks

Goodhart's Law in Reinforcement Learning

It Takes Two: Your GRPO Is Secretly DPO

Document Ranking with a Pretrained Sequence-to-Sequence Model

Aether: Geometric-Aware Unified World Modeling

Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks

One Basis to Animate Them All: Gaussian Blendshape Distillation for Real-Time Avatars

LEVER: Learning to Verify Language-to-Code Generation with Execution

Dataless Knowledge Fusion by Merging Weights of Language Models

Rank1: Test-Time Compute for Reranking in Information Retrieval

Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking

Embedding Prediction Helps Image Generation

HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout Trees

Learning Long-Term Dependencies in Irregularly-Sampled Time Series

Rewarding High-Quality Data via Influence Functions

Adaptive Rule Discovery for Labeling Text Data

FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning

Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training

Every Ablation Is a Dose: Counterweights and the Semblance of Self-Repair

Preconditioning Benefits of Spectral Orthogonalization in Muon

What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering

Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions

FedPS: Federated data Preprocessing via aggregated Statistics

Label-Free Concept Bottleneck Models

DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting

Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function

Transcendence: Generative Models Can Outperform The Experts That Train Them

Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions

Continuously Indexed Domain Adaptation

Reasoning to Learn from Latent Thoughts

From Knowledge Access to Source Learning: Developing Source-Specific Competence

Looking Ahead and Back: Anticipatory Generative Modeling for Road-Network Trajectories

LLaGA: Large Language and Graph Assistant

Fuzzy-MoE: Interpretable Regime-Conditioned Expert Routing for Non-Stationary Multivariate Time Series Forecasting

Asynchronous Methods for Deep Reinforcement Learning

Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations

The case for 4-bit precision: k-bit Inference Scaling Laws

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning

Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models

Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds

ReMAP: Self-supervised learning to unveil brain representations and vulnerability

Text2Action: Generative Adversarial Synthesis from Language to Action

Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs with Synthetic Scenes

Improving Inference for Neural Image Compression

A Path Integral Surrogate for Multi-Step Gradient Inversion in Federated Learning

Learning heat diffusion graphs

Computing a Nonnegative Matrix Factorization -- Provably