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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28,501 to 28,560 of 32,765

OpenCollab: A Multi-Agent Coding Framework with Programmable Collaboration and Controllable Runtime
Chun-Wah Hsu, Kai Gong, Yu Wu +12
cs.SEcs.AIcs.CLarXiv:2609.38345v12026
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips
Ido Galil, Moshe Kimhi, Ran El-Yaniv
cs.LGcs.AIcs.CVarXiv:2502.07408v22025
Algorithmic Monoculture and Social Welfare
Jon Kleinberg, Manish Raghavan
cs.GTcs.CYcs.LGarXiv:2101.05853v22021
Online Representation Learning in Recurrent Neural Language Models
Marek Rei
cs.CLcs.LGcs.NEarXiv:1508.03854v12015
Prediction and optimization of mechanical properties of composites using convolutional neural networks
Diab W. Abueidda, Mohammad Almasri, Rami Ammourah +3
cs.LGphysics.comp-phstat.MLarXiv:1906.00094v12019
Rounding Sum-of-Squares Relaxations
Boaz Barak, Jonathan Kelner, David Steurer
cs.DScs.LGquant-pharXiv:1312.6652v12013
SparDA: Sparse Decoupled Attention for Efficient Long-Context LLM Inference
Yaosheng Fu, Guangxuan Xiao, Xin Dong +2
cs.CLcs.LGarXiv:2606.04511v12026
Rethinking the Hyperparameters for Fine-tuning
Hao Li, Pratik Chaudhari, Hao Yang +4
cs.CVcs.LGstat.MLarXiv:2002.11770v12020
Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?
Tim Isbister, Fredrik Carlsson, Magnus Sahlgren
cs.CLcs.LGarXiv:2104.10441v12021
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data
Taeho Jo, Kwangsik Nho, Andrew J. Saykin
eess.IVcs.LGstat.MLarXiv:1905.00931v42019
Topic Modeling Based Multi-modal Depression Detection
Yuan Gong, Christian Poellabauer
cs.CLcs.IRcs.LGarXiv:1803.10384v12018
When the Preconditioning Exponent Turns Negative: Learning-Rate Coupling and Cross-Environment Generalization
Gongyue Zhang, Honghai Liu
cs.LGarXiv:2609.30271v12026
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen +5
cs.ROcs.AIcs.CVarXiv:2310.17596v12023
Outlier Detection Using Nonconvex Penalized Regression
Yiyuan She, Art B. Owen
stat.MEcs.LGstat.COarXiv:1006.2592v32010
Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang, Yongxin Chen
cs.LGarXiv:2204.13902v42022
Deep learning in ultrasound imaging
Ruud JG van Sloun, Regev Cohen, Yonina C Eldar
eess.SPcs.LGeess.IVarXiv:1907.02994v22019
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
Ajay Jain, Amber Xie, Pieter Abbeel
cs.CVcs.AIcs.GRarXiv:2211.11319v12022
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
Zihao Zhu, Jing Yu, Yujing Wang +3
cs.CVcs.AIcs.CLarXiv:2006.09073v32020
Accuracy Measures for the Comparison of Classifiers
Vincent Labatut, Hocine Cherifi
cs.LGarXiv:1207.3790v12012
Do Multilingual LLMs Think In English?
Lisa Schut, Yarin Gal, Sebastian Farquhar
cs.CLcs.AIcs.LGarXiv:2502.15603v12025
FetchSGD: Communication-Efficient Federated Learning with Sketching
Daniel Rothchild, Ashwinee Panda, Enayat Ullah +5
cs.LGstat.MLarXiv:2007.07682v22020
On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization
Ohad Shamir
cs.LGmath.OCstat.MLarXiv:1209.2388v32012
Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective
Kevin Zhang, Stephen Bates
cs.LGarXiv:2610.08785v12026
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen, Emmanuel J. Candes
cs.ITcs.LGmath.NAarXiv:1505.05114v22015
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
Mu Cai, Haotian Liu, Dennis Park +4
cs.CVcs.AIcs.CLarXiv:2312.00784v22023
Robust Website Fingerprinting Through the Cache Occupancy Channel
Anatoly Shusterman, Lachlan Kang, Yarden Haskal +4
cs.CRcs.LGarXiv:1811.07153v32018
3D Infomax improves GNNs for Molecular Property Prediction
Hannes Stärk, Dominique Beaini, Gabriele Corso +4
cs.LGcs.AIq-bio.BMarXiv:2110.04126v42021
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
Arber Zela, Aaron Klein, Stefan Falkner +1
cs.LGcs.AIcs.CVarXiv:1807.06906v12018
Adversarial Demonstration Attacks on Large Language Models
Jiongxiao Wang, Zichen Liu, Keun Hee Park +5
cs.CLcs.AIcs.CRarXiv:2305.14950v22023
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal +2
cs.LGmath.OCarXiv:1609.04836v22016
Evaluating RL Explainability Methods by How Much They Help Fix Bugs in Agents
Ram Rachum, Yotam Amitai, Bálint Gyevnár +2
cs.LGarXiv:2608.17524v12026
Interpretable Distribution Features with Maximum Testing Power
Wittawat Jitkrittum, Zoltan Szabo, Kacper Chwialkowski +1
stat.MLcs.LGarXiv:1605.06796v22016
Minimax Rates of Estimation for Sparse PCA in High Dimensions
Vincent Q. Vu, Jing Lei
stat.MLcs.LGmath.STarXiv:1202.0786v22012
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL
Mohammadreza Pourreza, Shayan Talaei, Ruoxi Sun +5
cs.LGcs.AIcs.DBarXiv:2503.23157v22025
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui +1
cs.LGcs.NEstat.MLarXiv:1812.02637v42018
Sparse Signal Estimation by Maximally Sparse Convex Optimization
Ivan W. Selesnick, Ilker Bayram
cs.LGstat.MLarXiv:1302.5729v32013
WhiteMatter: All-to-All Cross-Layer Connections via KV Mixing
Wenbo Zhang, Xiang Ren
cs.CLcs.LGarXiv:2608.18486v12026
RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains
Haoxiang Jiang, Zihan Dong, Tianci Liu +5
cs.LGcs.CLarXiv:2605.29156v12026
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
Adrian Bulat, Georgios Tzimiropoulos
cs.CVcs.LGarXiv:1703.07332v32017
Federated Accelerated Stochastic Gradient Descent
Honglin Yuan, Tengyu Ma
cs.LGcs.DCmath.OCarXiv:2006.08950v42020
4D Attention-based Neural Network for EEG Emotion Recognition
Guowen Xiao, Mengwen Ye, Bowen Xu +2
cs.LGarXiv:2101.05484v12021
A Survey on Semantic Communications in Internet of Vehicles
Sha Ye, Qiong Wu, Pingyi Fan +1
cs.NIcs.LGeess.SParXiv:2503.03767v22025
R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model
Ali Naseh, Harsh Chaudhari, Jaechul Roh +3
cs.CLcs.CRcs.LGarXiv:2505.12625v12025
Increasing Width Allows Greedy Layer-wise Training to Rival End-to-End Backpropagation in Self-Supervised Learning
Syon Mansur, Joel Zylberberg
cs.LGcs.AIcs.CVarXiv:2610.00753v12026
Unconstrained Monotonic Neural Networks
Antoine Wehenkel, Gilles Louppe
cs.LGcs.NEstat.MLarXiv:1908.05164v32019
On Analog Gradient Descent Learning over Multiple Access Fading Channels
Tomer Sery, Kobi Cohen
cs.LGcs.ITstat.MLarXiv:1908.07463v12019
Too Rare to Learn: Prescribed Cyclone Tracks Degrade a Bay of Bengal Ocean Emulator
Sumaiya Islam
cs.LGarXiv:2609.04635v12026
A Loss Curvature Perspective on Training Instability in Deep Learning
Justin Gilmer, Behrooz Ghorbani, Ankush Garg +6
cs.LGcs.AIarXiv:2110.04369v12021
R-GAP: Recursive Gradient Attack on Privacy
Junyi Zhu, Matthew Blaschko
cs.LGcs.AIarXiv:2010.07733v32020
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
Yuening Li, Xiao Huang, Jundong Li +2
cs.LGstat.MLarXiv:1908.03849v32019
ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation
Hongru Hou, Tiehua Mei, Denghui Geng +5
cs.LGcs.AIarXiv:2605.28293v22026
Distributed Matrix Completion and Robust Factorization
Lester Mackey, Ameet Talwalkar, Michael I. Jordan
cs.LGcs.DSmath.NAarXiv:1107.0789v72011
On the Universality of Online Mirror Descent
Nathan Srebro, Karthik Sridharan, Ambuj Tewari
cs.LGarXiv:1107.4080v12011
Non-stationary Stochastic Optimization
O. Besbes, Y. Gur, A. Zeevi
math.PRcs.LGstat.MLarXiv:1307.5449v22013
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
Ezgi Korkmaz
cs.LGcs.AIarXiv:2607.07769v12026
Formal Mathematical Reasoning: A New Frontier in AI
Kaiyu Yang, Gabriel Poesia, Jingxuan He +4
cs.AIcs.LGcs.LOarXiv:2412.16075v12024
Controlling Neural Level Sets
Matan Atzmon, Niv Haim, Lior Yariv +3
cs.LGstat.MLarXiv:1905.11911v22019
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan +3
cs.LGstat.MLarXiv:1907.08322v22019
The power of deeper networks for expressing natural functions
David Rolnick, Max Tegmark
cs.LGcs.NEstat.MLarXiv:1705.05502v22017
Rethinking Communication Metrics: How Should We Measure Meaning?
Niloofar Tavakolian, Hakimeh Purmehdi, Jungyeon Baek
cs.LGarXiv:2608.21626v12026

Machine Learning

OpenCollab: A Multi-Agent Coding Framework with Programmable Collaboration and Controllable Runtime

Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips

Algorithmic Monoculture and Social Welfare

Online Representation Learning in Recurrent Neural Language Models

Prediction and optimization of mechanical properties of composites using convolutional neural networks

Rounding Sum-of-Squares Relaxations

SparDA: Sparse Decoupled Attention for Efficient Long-Context LLM Inference

Rethinking the Hyperparameters for Fine-tuning

Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?

Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data

Topic Modeling Based Multi-modal Depression Detection

When the Preconditioning Exponent Turns Negative: Learning-Rate Coupling and Cross-Environment Generalization

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Outlier Detection Using Nonconvex Penalized Regression

Fast Sampling of Diffusion Models with Exponential Integrator

Deep learning in ultrasound imaging

VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models

Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering

Accuracy Measures for the Comparison of Classifiers

Do Multilingual LLMs Think In English?

FetchSGD: Communication-Efficient Federated Learning with Sketching

On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization

Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective

Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts

Robust Website Fingerprinting Through the Cache Occupancy Channel

3D Infomax improves GNNs for Molecular Property Prediction

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Adversarial Demonstration Attacks on Large Language Models

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Evaluating RL Explainability Methods by How Much They Help Fix Bugs in Agents

Interpretable Distribution Features with Maximum Testing Power

Minimax Rates of Estimation for Sparse PCA in High Dimensions

Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Sparse Signal Estimation by Maximally Sparse Convex Optimization

WhiteMatter: All-to-All Cross-Layer Connections via KV Mixing

RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

Federated Accelerated Stochastic Gradient Descent

4D Attention-based Neural Network for EEG Emotion Recognition

A Survey on Semantic Communications in Internet of Vehicles

R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model

Increasing Width Allows Greedy Layer-wise Training to Rival End-to-End Backpropagation in Self-Supervised Learning

Unconstrained Monotonic Neural Networks

On Analog Gradient Descent Learning over Multiple Access Fading Channels

Too Rare to Learn: Prescribed Cyclone Tracks Degrade a Bay of Bengal Ocean Emulator

A Loss Curvature Perspective on Training Instability in Deep Learning

R-GAP: Recursive Gradient Attack on Privacy

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks

ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation

Distributed Matrix Completion and Robust Factorization

On the Universality of Online Mirror Descent

Non-stationary Stochastic Optimization

Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms

Formal Mathematical Reasoning: A New Frontier in AI

Controlling Neural Level Sets

MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

The power of deeper networks for expressing natural functions

Rethinking Communication Metrics: How Should We Measure Meaning?