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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26,341 to 26,400 of 33,166

Conformal Thinking: Risk Control for Reasoning on a Compute Budget
Xi Wang, Anushri Suresh, Alvin Zhang +6
cs.AIcs.LGarXiv:2602.03814v22026
Improving GANs for Speech Enhancement
Huy Phan, Ian V. McLoughlin, Lam Pham +4
cs.LGcs.SDeess.ASarXiv:2001.05532v32020
PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment
Yang Tian, Rui Wang, Xumeng Wen +5
cs.LGcs.CLarXiv:2606.09348v22026
Canaries in the Bank: Auditing User-Level Privacy in Private Evolution
Sai Aparna Aketi, Enayat Ullah, Shripad Gade
cs.CRcs.AIcs.LGarXiv:2609.13499v12026
Dimension-Corrected Hitting Times for Heavy-Tailed Spectral Emergence in Neural Optimizer Dynamics
Zongmin Liu
cs.LGcs.NEstat.MLarXiv:2609.12994v12026
Bias and Discrimination in AI: a cross-disciplinary perspective
Xavier Ferrer, Tom van Nuenen, Jose M. Such +2
cs.CYcs.LGarXiv:2008.07309v12020
Deep Gaussian Mixture Models
Cinzia Viroli, Geoffrey J. McLachlan
stat.MLcs.LGarXiv:1711.06929v12017
Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration
Xiao Ma, Hong Shen, Hui Tian +2
cs.LGcs.DCarXiv:2609.07230v12026
Certifiably Interpretable Training of ReLU-MLPs for Boolean Tasks with Guaranteed Truth-Table Generalization
Hrad Ghoukasian, Anastasis Kratsios
cs.LGcs.AIstat.MLarXiv:2609.13439v12026
Improving Variational Auto-Encoders using Householder Flow
Jakub M. Tomczak, Max Welling
cs.LGstat.MLarXiv:1611.09630v42016
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
E. Kharazmi, Z. Zhang, G. E. Karniadakis
cs.NEcs.LGmath.NAarXiv:1912.00873v12019
Multi-Agent Multi-Armed Bandits with Limited Communication
Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli
cs.LGcs.AIcs.MAarXiv:2102.08462v12021
Approximate Data Deletion from Machine Learning Models
Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri +1
cs.LGstat.MLarXiv:2002.10077v22020
Infinite-Horizon Differentiable Model Predictive Control
Sebastian East, Marco Gallieri, Jonathan Masci +2
math.OCcs.LGcs.SYarXiv:2001.02244v12020
Understanding Self-Training for Gradual Domain Adaptation
Ananya Kumar, Tengyu Ma, Percy Liang
cs.LGstat.MLarXiv:2002.11361v12020
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
Zhongjie Yu, Lin Chen, Zhongwei Cheng +1
cs.LGcs.CVstat.MLarXiv:1912.09033v22019
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values
Zhiyong Cui, Ruimin Ke, Ziyuan Pu +1
cs.LGeess.SPstat.MLarXiv:2005.11627v12020
Fairness Testing: Testing Software for Discrimination
Sainyam Galhotra, Yuriy Brun, Alexandra Meliou
cs.SEcs.AIcs.CYarXiv:1709.03221v12017
CARE: Certifying Acceleration for Vision-Language-Action Inference
Rui Liu, Tong Zheng, Jindong Gu +1
cs.CLcs.LGarXiv:2610.08917v12026
A study on effectiveness of extreme learning machine
Yuguang Wang, Feilong Cao, Yubo Yuan
cs.NEcs.LGarXiv:1409.3924v12014
Equivariance with Learned Canonicalization Functions
Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang +2
cs.LGcs.AIarXiv:2211.06489v32022
Machine Unlearning under Retain-Forget Entanglement
Jingpu Cheng, Ping Liu, Qianxiao Li +1
cs.LGarXiv:2603.26569v12026
Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
Preethi Seshadri, Samuel Cahyawijaya, Ayomide Odumakinde +2
cs.HCcs.AIcs.CYarXiv:2601.17087v22026
ReCAST: Reward Credit Assignment across Timesteps for Online Diffusion Reinforcement
Yihang Chen, Yuanhao Ban, Kuei-Chun Kao +1
cs.LGcs.AIarXiv:2609.13425v12026
SemEval-2017 Task 3: Community Question Answering
Preslav Nakov, Doris Hoogeveen, Lluís Màrquez +4
cs.CLcs.AIcs.IRarXiv:1912.00730v12019
MatrixFormer: A Foundation Model for Matrix Completion
Dwaipayan Saha, Jacob Feitelberg, Kyuseong Choi +2
cs.LGcs.AIarXiv:2610.06751v12026
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
Guanting Dong, Yutao Zhu, Chenghao Zhang +3
cs.CLcs.AIcs.LGarXiv:2406.18676v22024
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders
Joseph Bakarji, Kathleen Champion, J. Nathan Kutz +1
cs.LGcs.CEmath.DSarXiv:2201.05136v12022
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Pin-Yu Chen, Yash Sharma, Huan Zhang +2
stat.MLcs.CRcs.LGarXiv:1709.04114v32017
Decoupling Time and Space: A Temporally Conditioned Refinement for EEG Source Imaging
Marco Morik, Jesse Palarus, Carmen Vidaurre +2
cs.LGarXiv:2610.06726v12026
Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents
Toshiaki Koike-Akino, Vladislav Blaykhman, Ye Wang +2
cs.AIcs.LGcs.MAarXiv:2609.13422v22026
FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study
Sai Puppala, Koushik Sinha
cs.AIcs.DCcs.ETarXiv:2609.00875v12026
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener, Vladlen Koltun
cs.LGstat.MLarXiv:1810.04650v22018
Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery
Yichen Wu, Yair Rivenson, Yibo Zhang +4
cs.CVcs.LGphysics.opticsarXiv:1803.08138v12018
Multi-Scale Progressive Fusion Network for Single Image Deraining
Kui Jiang, Zhongyuan Wang, Peng Yi +5
cs.CVcs.LGeess.IVarXiv:2003.10985v22020
On the Limitations of Unsupervised Bilingual Dictionary Induction
Anders Søgaard, Sebastian Ruder, Ivan Vulić
cs.CLcs.LGstat.MLarXiv:1805.03620v12018
CTAB-GAN: Effective Table Data Synthesizing
Zilong Zhao, Aditya Kunar, Hiek Van der Scheer +2
cs.LGarXiv:2102.08369v22021
Wide Compression: Tensor Ring Nets
Wenqi Wang, Yifan Sun, Brian Eriksson +2
cs.LGcs.CVstat.MLarXiv:1802.09052v12018
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun, Jordan Hoffmann, Vikas Verma +1
cs.LGcs.AIstat.MLarXiv:1908.01000v32019
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
Chen-Hsuan Lin, Chen Kong, Simon Lucey
cs.CVcs.LGarXiv:1706.07036v12017
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization
Ben Adlam, Jeffrey Pennington
stat.MLcs.LGarXiv:2008.06786v12020
Orion: A Unified Visual Agent for Multimodal Perception, Advanced Visual Reasoning and Execution
N Dinesh Reddy, Dylan Snyder, Lona Kiragu +3
cs.CVcs.AIcs.LGarXiv:2511.14210v22025
Adapting prior-data fitted networks for tabular anomaly detection
Maximilian Bershtman, Niv Cohen
cs.LGarXiv:2610.06693v12026
ChatGPT as Research Scientist: Probing GPT's Capabilities as a Research Librarian, Research Ethicist, Data Generator and Data Predictor
Steven A. Lehr, Aylin Caliskan, Suneragiri Liyanage +1
cs.AIcs.CLcs.CYarXiv:2406.14765v12024
End-to-end Learning of Action Detection from Frame Glimpses in Videos
Serena Yeung, Olga Russakovsky, Greg Mori +1
cs.CVcs.LGarXiv:1511.06984v22015
Feasibility and Memory Mechanisms of Chern-Simons Context Reservoir Computation
Jyotiranjan Beuria, Venkatesh H. Chembrolu
cs.ETcs.AIcs.LGarXiv:2609.13315v12026
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast
Kaifeng Bi, Lingxi Xie, Hengheng Zhang +3
physics.ao-phcs.AIcs.CVarXiv:2211.02556v12022
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
Junho Song, Keonwoo Kim, Jeonglyul Oh +1
cs.LGcs.AIarXiv:2312.02530v12023
Closing the Context Gap: Activation Alignment for Tabular In-Context Learning
Yoel Zeldes
cs.LGcs.AIarXiv:2610.06679v12026
Variational Template Matching with Statistical Fusion for Anomaly Detection in Patterned Structures
Qinwu Xu, Yifan Jiang
cs.CVcs.AIcs.LGarXiv:2609.13298v12026
Online Knowledge Distillation with Diverse Peers
Defang Chen, Jian-Ping Mei, Can Wang +2
cs.LGstat.MLarXiv:1912.00350v22019
Equation Recast for Canonical Operator Learning Across Parametric PDEs
Qiyun Cheng, Valentin Duruisseaux, Cesar F. Clauser +7
cs.LGphysics.comp-phphysics.plasm-pharXiv:2609.02982v12026
Grouped Value Attention: Efficient KV Caching via On-Demand Key Reconstruction
Vishesh Tripathi, Abhay Kumar, Ramsha Khan
cs.ARcs.LGarXiv:2609.13285v22026
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
Sara Beery, Guanhang Wu, Vivek Rathod +2
cs.CVcs.LGeess.IVarXiv:1912.03538v32019
Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification
Xavier Roynard, Jean-Emmanuel Deschaud, François Goulette
cs.LGcs.CVstat.MLarXiv:1712.00032v22017
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
Micah J Sheller, G Anthony Reina, Brandon Edwards +2
cs.LGstat.MLarXiv:1810.04304v22018
Strategies for Training Large Vocabulary Neural Language Models
Welin Chen, David Grangier, Michael Auli
cs.CLcs.LGarXiv:1512.04906v12015
A Comprehensive Survey of Dataset Distillation
Shiye Lei, Dacheng Tao
cs.LGarXiv:2301.05603v42023
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
Han Xue, Jieji Ren, Wendi Chen +5
cs.ROcs.AIcs.LGarXiv:2503.02881v32025
Small-Scale Experiments: Are We There Yet?
Nicholas Lourie, Kyunghyun Cho, Karen Ullrich +1
cs.LGarXiv:2608.11859v12026

Machine Learning

Conformal Thinking: Risk Control for Reasoning on a Compute Budget

Improving GANs for Speech Enhancement

PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment

Canaries in the Bank: Auditing User-Level Privacy in Private Evolution

Dimension-Corrected Hitting Times for Heavy-Tailed Spectral Emergence in Neural Optimizer Dynamics

Bias and Discrimination in AI: a cross-disciplinary perspective

Deep Gaussian Mixture Models

Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration

Certifiably Interpretable Training of ReLU-MLPs for Boolean Tasks with Guaranteed Truth-Table Generalization

Improving Variational Auto-Encoders using Householder Flow

Variational Physics-Informed Neural Networks For Solving Partial Differential Equations

Multi-Agent Multi-Armed Bandits with Limited Communication

Approximate Data Deletion from Machine Learning Models

Infinite-Horizon Differentiable Model Predictive Control

Understanding Self-Training for Gradual Domain Adaptation

TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning

Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values

Fairness Testing: Testing Software for Discrimination

CARE: Certifying Acceleration for Vision-Language-Action Inference

A study on effectiveness of extreme learning machine

Equivariance with Learned Canonicalization Functions

Machine Unlearning under Retain-Forget Entanglement

Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations

ReCAST: Reward Credit Assignment across Timesteps for Online Diffusion Reinforcement

SemEval-2017 Task 3: Community Question Answering

MatrixFormer: A Foundation Model for Matrix Completion

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation

Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Decoupling Time and Space: A Temporally Conditioned Refinement for EEG Source Imaging

Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents

FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study

Multi-Task Learning as Multi-Objective Optimization

Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery

Multi-Scale Progressive Fusion Network for Single Image Deraining

On the Limitations of Unsupervised Bilingual Dictionary Induction

CTAB-GAN: Effective Table Data Synthesizing

Wide Compression: Tensor Ring Nets

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction

The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization

Orion: A Unified Visual Agent for Multimodal Perception, Advanced Visual Reasoning and Execution

Adapting prior-data fitted networks for tabular anomaly detection

ChatGPT as Research Scientist: Probing GPT's Capabilities as a Research Librarian, Research Ethicist, Data Generator and Data Predictor

End-to-end Learning of Action Detection from Frame Glimpses in Videos

Feasibility and Memory Mechanisms of Chern-Simons Context Reservoir Computation

Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection

Closing the Context Gap: Activation Alignment for Tabular In-Context Learning

Variational Template Matching with Statistical Fusion for Anomaly Detection in Patterned Structures

Online Knowledge Distillation with Diverse Peers

Equation Recast for Canonical Operator Learning Across Parametric PDEs

Grouped Value Attention: Efficient KV Caching via On-Demand Key Reconstruction

Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection

Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification

Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

Strategies for Training Large Vocabulary Neural Language Models

A Comprehensive Survey of Dataset Distillation

Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation

Small-Scale Experiments: Are We There Yet?