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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26,521 to 26,580 of 33,187

Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
Yunwen Lei, Yiming Ying
cs.LGstat.MLarXiv:2006.08157v12020
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
Kwan Ho Ryan Chan, Yaodong Yu, Chong You +3
cs.LGcs.CVcs.ITarXiv:2105.10446v32021
ARO: Aligned Representation learning for multi-Omics data
Amogh Singh, Yash Shah, Chiara D'Ercoli +4
cs.LGcs.AIarXiv:2610.06443v12026
Towards a Rigorous Evaluation of XAI Methods on Time Series
Udo Schlegel, Hiba Arnout, Mennatallah El-Assady +2
cs.LGcs.AIarXiv:1909.07082v22019
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
Ailin Deng, Tri Cao, Zhirui Chen +1
cs.CVcs.AIcs.CLarXiv:2503.02199v12025
COEC: Calibrated Orthogonal-Equivalence Compensation for Structured Pruning of Large Language Models
Peiqi Yu, Nam Ling, Wei Wang +1
cs.LGarXiv:2608.21142v12026
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
Mostafa Rahimi Azghadi, Corey Lammie, Jason K. Eshraghian +4
cs.ARcs.LGeess.SParXiv:2007.05657v22020
Valid Stopping in Adaptive Generator-Verifier Loops
Mahmoud Hegazy, Michael I. Jordan, Aymeric Dieuleveut
stat.MLcs.AIcs.LGarXiv:2610.06432v12026
How can embedding models bind concepts?
Arnas Uselis, Darina Koishigarina, Seong Joon Oh
cs.CVcs.LGarXiv:2605.31503v12026
Crosslingual Reasoning through Test-Time Scaling
Zheng-Xin Yong, M. Farid Adilazuarda, Jonibek Mansurov +7
cs.CLcs.AIcs.LGarXiv:2505.05408v12025
A Comprehensive Survey of Synthetic Tabular Data Generation
Ruxue Shi, Yili Wang, Mengnan Du +3
cs.LGarXiv:2504.16506v32025
FlashCart: Fast Cartesian Tensor Products for Equivariant Interatomic Potentials
Viktor Zaverkin, Payman Goodarzi, Sergey V. Sukhomlinov +4
cs.LGarXiv:2610.06409v12026
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN
Krzysztof Rusek, José Suárez-Varela, Paul Almasan +2
cs.NIcs.AIcs.LGarXiv:1910.01508v22019
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
Abbas Sadat, Sergio Casas, Mengye Ren +3
cs.ROcs.AIcs.CVarXiv:2008.05930v12020
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations
Maziar Raissi, George Em Karniadakis
cs.AIcs.LGmath.AParXiv:1708.00588v22017
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang +7
cs.CVcs.CLcs.LGarXiv:2306.00864v12023
Adaptive Conformal Inference Under Distribution Shift
Isaac Gibbs, Emmanuel Candès
stat.MEcs.LGstat.MLarXiv:2106.00170v32021
Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification
Brian d'Alessandro, Cathy O'Neil, Tom LaGatta
stat.MLcs.LGstat.COarXiv:1907.09013v12019
ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer
Chunyuan Deng, Sanket Lokegaonkar, Colin Lockard +3
cs.CLcs.LGarXiv:2603.03583v12026
PISanitizer: Preventing Prompt Injection to Long-Context LLMs via Prompt Sanitization
Runpeng Geng, Yanting Wang, Chenlong Yin +3
cs.CRcs.AIcs.CLarXiv:2511.10720v12025
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
Bret Nestor, Matthew B. A. McDermott, Willie Boag +5
cs.LGstat.MLarXiv:1908.00690v12019
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT
Le Zhuo, Ruoyi Du, Han Xiao +19
cs.CVcs.LGarXiv:2406.18583v12024
BadWAM: When World-Action Models Dream Right but Act Wrong
Qi Li, Xingyi Yang, Xinchao Wang
cs.LGcs.ROarXiv:2607.15207v12026
Summaries:한국어
AI Models Can Provably Hide Arbitrary Capabilities
Andis Draguns, Sumeet Ramesh Motwani, Raymond Douglas +1
cs.LGcs.CRarXiv:2610.13928v12026
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models
Yankun Ren, Jianbin Lin, Siliang Tang +4
cs.CLcs.LGstat.MLarXiv:2003.10388v12020
Quantifying the Stability of Multi-Step Reasoning via Error Amplification
Dongyue Li, Ziniu Zhang, Minxuan Duan +1
cs.LGcs.AIstat.MLarXiv:2610.06404v12026
Crowd-PrefRL: Preference-Based Reward Learning from Crowds
David Chhan, Ellen Novoseller, Vernon J. Lawhern
cs.HCcs.LGcs.SIarXiv:2401.10941v22024
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
Kaiwen Zheng, Cheng Lu, Jianfei Chen +1
cs.CVcs.LGarXiv:2310.13268v32023
Stochastic Zeroth-order Optimization in High Dimensions
Yining Wang, Simon Du, Sivaraman Balakrishnan +1
stat.MLcs.LGarXiv:1710.10551v22017
Ovis: Structural Embedding Alignment for Multimodal Large Language Model
Shiyin Lu, Yang Li, Qing-Guo Chen +4
cs.CVcs.AIcs.CLarXiv:2405.20797v22024
Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov +1
cs.LGcs.AIstat.MEarXiv:1511.02222v12015
Which Question Is Your Attention Metric Answering? Attention Rows as Compositional Data
Marios Papamichalis, Regina Ruane
cs.CLcs.AIcs.LGarXiv:2608.14712v12026
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems
Qiyu Hu, Yunlong Cai, Qingjiang Shi +3
cs.ITcs.LGeess.SParXiv:2006.08099v12020
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney +1
cs.HCcs.LGcs.SEarXiv:2306.04930v32023
Summaries:한국어
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation
Yuzhou Liu, DeLiang Wang
cs.SDcs.LGeess.ASarXiv:1904.11148v12019
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
Huy Phan, Oliver Y. Chén, Minh C. Tran +3
eess.SPcs.LGarXiv:2007.05492v42020
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine, Peter Pastor, Alex Krizhevsky +1
cs.LGcs.AIcs.CVarXiv:1603.02199v42016
Error bounds for approximations with deep ReLU networks
Dmitry Yarotsky
cs.LGcs.NEarXiv:1610.01145v32016
Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset
Dimitrios Kollias, Stefanos Zafeiriou
cs.LGcs.CVstat.MLarXiv:1910.01417v22019
RelayLLM: Efficient Reasoning via Collaborative Decoding
Chengsong Huang, Tong Zheng, Langlin Huang +3
cs.CLcs.AIcs.LGarXiv:2601.05167v12026
IsoScore: Measuring the Uniformity of Embedding Space Utilization
William Rudman, Nate Gillman, Taylor Rayne +1
cs.CLcs.LGarXiv:2108.07344v22021
DELE-w0.5: Inferring Action from Future Latent State for Robotic Manipulation
Fenghao Lei, Zhixiong Huang, Long Yang +5
cs.ROcs.AIcs.CVarXiv:2608.22067v32026
Self-supervised Learning for Video Correspondence Flow
Zihang Lai, Weidi Xie
cs.CVcs.LGarXiv:1905.00875v52019
Pad\'e Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
Alejandro Molina, Patrick Schramowski, Kristian Kersting
cs.LGcs.NEarXiv:1907.06732v32019
Online semi-supervised perception: Real-time learning without explicit feedback
Branislav Kveton, Michal Valko, Matthai Phillipose +1
cs.LGstat.MLarXiv:2604.27562v12026
Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning
Seyed Sajad Mousavi, Michael Schukat, Enda Howley
cs.LGarXiv:1704.08883v22017
Optimal Testing for Properties of Distributions
Jayadev Acharya, Constantinos Daskalakis, Gautam Kamath
cs.DScs.ITcs.LGarXiv:1507.05952v32015
OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items
Shuze Daniel Liu, David Simchi-Levi, Claire Chen +2
cs.LGarXiv:2609.01933v12026
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets
Corentin Hardy, Erwan Le Merrer, Bruno Sericola
cs.LGstat.MLarXiv:1811.03850v22018
An Approach to Technical AGI Safety and Security
Rohin Shah, Alex Irpan, Alexander Matt Turner +27
cs.AIcs.CYcs.LGarXiv:2504.01849v12025
Towards Diverse Scientific Hypothesis Search with Large Language Models
Haorui Wang, Parshin Shojaee, Kazem Meidani +7
cs.LGcs.AIarXiv:2606.10587v12026
Learning with a Strong Adversary
Ruitong Huang, Bing Xu, Dale Schuurmans +1
cs.LGarXiv:1511.03034v62015
Accurate Failure Prediction in Agents Does Not Imply Effective Failure Prevention
Rakshith Vasudev, Melisa Russak, Dan Bikel +1
cs.CLcs.LGarXiv:2602.03338v12026
Generalisation in humans and deep neural networks
Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber +3
cs.CVcs.AIcs.LGarXiv:1808.08750v32018
Unified Optimal Analysis of the (Stochastic) Gradient Method
Sebastian U. Stich
cs.LGcs.NAmath.NAarXiv:1907.04232v22019
AUTOPILOT An Advanced Perception, Localization and Path Planning Techniques for Autonomous Vehicles Using YOLOv7 and MiDaS
Harshkumar Devmurari, Gautham Kuckian, Prajjwal Vishwakarma
cs.ROcs.LGarXiv:2610.06232v12026
Command A: An Enterprise-Ready Large Language Model
Team Cohere, :, Aakanksha +227
cs.CLcs.AIcs.LGarXiv:2504.00698v22025
Optimal and Efficient Online Inverse Optimization
Anupam Gupta, Guru Guruganesh, Honghao Lin +3
cs.LGcs.DSarXiv:2610.08735v12026
Asymptotic Analysis of Discrete-Time Self-Attention Dynamics in Transformers
Claudio Altafini
math.DScs.LGcs.SYarXiv:2610.13518v12026
Parameter Estimation in Machining Dynamics with Regenerative Delay and Nonsmooth Friction using Physics-Informed Neural Networks
Meiyazhagan Jaganathan, Vikram Pakrashi, Aasifa Rounak
cs.LGnlin.CDarXiv:2610.06230v12026

Machine Learning

Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent

ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction

ARO: Aligned Representation learning for multi-Omics data

Towards a Rigorous Evaluation of XAI Methods on Time Series

Words or Vision: Do Vision-Language Models Have Blind Faith in Text?

COEC: Calibrated Orthogonal-Equivalence Compensation for Structured Pruning of Large Language Models

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

Valid Stopping in Adaptive Generator-Verifier Loops

How can embedding models bind concepts?

Crosslingual Reasoning through Test-Time Scaling

A Comprehensive Survey of Synthetic Tabular Data Generation

FlashCart: Fast Cartesian Tensor Products for Equivariant Interatomic Potentials

RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations

A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics

Adaptive Conformal Inference Under Distribution Shift

Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification

ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer

PISanitizer: Preventing Prompt Injection to Long-Context LLMs via Prompt Sanitization

Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks

Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT

BadWAM: When World-Action Models Dream Right but Act Wrong

AI Models Can Provably Hide Arbitrary Capabilities

Generating Natural Language Adversarial Examples on a Large Scale with Generative Models

Quantifying the Stability of Multi-Step Reasoning via Error Amplification

Crowd-PrefRL: Preference-Based Reward Learning from Crowds

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

Stochastic Zeroth-order Optimization in High Dimensions

Ovis: Structural Embedding Alignment for Multimodal Large Language Model

Deep Kernel Learning

Which Question Is Your Attention Metric Answering? Attention Rows as Compositional Data

Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging

Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

Error bounds for approximations with deep ReLU networks

Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset

RelayLLM: Efficient Reasoning via Collaborative Decoding

IsoScore: Measuring the Uniformity of Embedding Space Utilization

DELE-w0.5: Inferring Action from Future Latent State for Robotic Manipulation

Self-supervised Learning for Video Correspondence Flow

Pad\'e Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks

Online semi-supervised perception: Real-time learning without explicit feedback

Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning

Optimal Testing for Properties of Distributions

OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items

MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets

An Approach to Technical AGI Safety and Security

Towards Diverse Scientific Hypothesis Search with Large Language Models

Learning with a Strong Adversary

Accurate Failure Prediction in Agents Does Not Imply Effective Failure Prevention

Generalisation in humans and deep neural networks

Unified Optimal Analysis of the (Stochastic) Gradient Method

AUTOPILOT An Advanced Perception, Localization and Path Planning Techniques for Autonomous Vehicles Using YOLOv7 and MiDaS

Command A: An Enterprise-Ready Large Language Model

Optimal and Efficient Online Inverse Optimization

Asymptotic Analysis of Discrete-Time Self-Attention Dynamics in Transformers

Parameter Estimation in Machining Dynamics with Regenerative Delay and Nonsmooth Friction using Physics-Informed Neural Networks