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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6,961 to 7,020 of 20,199

Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models
Jean Barbier, Florent Krzakala, Nicolas Macris +2
cs.ITcond-mat.dis-nncs.AIarXiv:1708.03395v32017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez +1
stat.MLcs.LGarXiv:1610.08452v22016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara, Matthieu Courbariaux, Daniel Soudry +2
cs.NEcs.LGarXiv:1609.07061v12016
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr, Fan Zhang, Ari Juels +2
cs.CRcs.LGstat.MLarXiv:1609.02943v22016
Data Programming: Creating Large Training Sets, Quickly
Alexander Ratner, Christopher De Sa, Sen Wu +2
stat.MLcs.AIcs.LGarXiv:1605.07723v32016
Thought Anchors: Which LLM Reasoning Steps Matter?
Paul C. Bogdan, Uzay Macar, Neel Nanda +1
cs.LGcs.AIcs.CLarXiv:2506.19143v42025
GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
Tejal Patwardhan, Rachel Dias, Elizabeth Proehl +16
cs.LGcs.AIcs.CYarXiv:2510.04374v12025
Fast Convergence of Regularized Learning in Games
Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo +1
cs.GTcs.AIcs.LGarXiv:1507.00407v52015
The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning
Xinyu Zhu, Mengzhou Xia, Zhepei Wei +3
cs.CLcs.LGarXiv:2506.01347v22025
Convex Optimization: Algorithms and Complexity
Sébastien Bubeck
math.OCcs.CCcs.LGarXiv:1405.4980v22014
Tuned Models of Peer Assessment in MOOCs
Chris Piech, Jonathan Huang, Zhenghao Chen +3
cs.LGcs.AIcs.HCarXiv:1307.2579v12013
On the Theoretical Limitations of Embedding-Based Retrieval
Orion Weller, Michael Boratko, Iftekhar Naim +1
cs.IRcs.CLcs.LGarXiv:2508.21038v22025
Summaries:한국어
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
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal, Navin Goyal
cs.LGcs.DSstat.MLarXiv:1209.3352v42012
Adversarial-Learned Loss for Domain Adaptation
Minghao Chen, Shuai Zhao, Haifeng Liu +1
cs.CVcs.LGarXiv:2001.01046v12020
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis
Emilie Kaufmann, Nathaniel Korda, Rémi Munos
stat.MLcs.LGarXiv:1205.4217v22012
Confidence-Aware Learning for Deep Neural Networks
Jooyoung Moon, Jihyo Kim, Younghak Shin +1
cs.LGstat.MLarXiv:2007.01458v32020
A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams
Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez
cs.CYcs.CLcs.IRarXiv:1905.08772v22019
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
Liang Wen, Yunke Cai, Fenrui Xiao +11
cs.CLcs.LGarXiv:2503.10460v42025
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao +4
cs.LGcs.AIcs.CVarXiv:2103.12308v12021
Language Modeling with Deep Transformers
Kazuki Irie, Albert Zeyer, Ralf Schlüter +1
cs.CLcs.LGarXiv:1905.04226v22019
RM-R1: Reward Modeling as Reasoning
Xiusi Chen, Gaotang Li, Ziqi Wang +9
cs.CLcs.AIcs.LGarXiv:2505.02387v42025
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra +2
cs.LGstat.MLarXiv:1506.06840v22015
Spectral Convergence of Random Feature Method in Multiple Dimensions
Pingbing Ming, Hao Yu
math.NAcs.AIcs.LGarXiv:2609.03401v12026
Bayes-Optimal BER and AUC: Estimation and Evaluation of Estimators
Ryota Ushio, Takashi Ishida, Masashi Sugiyama
cs.LGstat.MLarXiv:2609.02304v12026
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Zebin You, Shen Nie, Xiaolu Zhang +5
cs.LGcs.CLcs.CVarXiv:2505.16933v22025
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
Fahim Tajwar, Anikait Singh, Archit Sharma +6
cs.LGarXiv:2404.14367v32024
Adversarial camera stickers: A physical camera-based attack on deep learning systems
Juncheng Li, Frank R. Schmidt, J. Zico Kolter
cs.CVcs.CRcs.LGarXiv:1904.00759v42019
RL's Razor: Why Online Reinforcement Learning Forgets Less
Idan Shenfeld, Jyothish Pari, Pulkit Agrawal
cs.LGarXiv:2509.04259v12025
Pseudo-Simulation for Autonomous Driving
Wei Cao, Marcel Hallgarten, Tianyu Li +11
cs.ROcs.AIcs.CVarXiv:2506.04218v32025
Diffusion-Based Refinement for Kilometer-Scale Probabilistic Precipitation Nowcasting
Dohyun Park, Changhoon Song, Tengyuan Chang +2
cs.LGphysics.ao-pharXiv:2608.30205v12026
Multiclass Linear Perceptrons with Multiplicative Margins
Dmitri Rachkovskij, Evgeny Osipov, Olexander Volkov +2
cs.LGcs.NEarXiv:2608.30028v12026
Puro-2B: Poor Lab's Qwen2-1.5B Trained on RTX 5090 within $5090
Kairong Luo, Jiarui Cui, Yaorui Yin +8
cs.CLcs.LGarXiv:2608.27370v12026
Summaries:한국어 日本語
Simple Actors and Deep Critics for Scalable Reinforcement Learning
Guhyeon Kang, Jaehwi Lee, Minhae Kwon
cs.LGarXiv:2608.26659v12026
Predicting Quantifiability from Primary Screens to Prioritize Dose-Response Profiling
Sean Lim
cs.LGq-bio.BMarXiv:2608.26538v12026
CG4AI: A Column Generation Framework for Training AI Models Under Constraints
Youcef Magnouche, Abderrahmane Driouch, Sébastien Martin +1
cs.LGcs.AIcs.DMarXiv:2608.26375v12026
Why ML-based cough models do not generalize: a systematic cross-dataset evaluation for tuberculosis screening
Wensi Zhang, Tomas Teijeiro, Jérôme Thevenot +1
eess.AScs.AIcs.LGarXiv:2608.25846v12026
MetaSieve: Faster Relational Deep Learning through SQL-Based Metapath Selection
Fahim Shahriar Khan, Ashraf Aboulnaga
cs.DBcs.LGarXiv:2608.25903v12026
Frequency-aware forecasting for short-term typhoon gust prediction
Xuefei Wang, Tingyi Liu, Heng Zhang +1
cs.LGarXiv:2608.25604v12026
Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality
Shunxing Yan, Fang Yao
stat.MEcs.LGmath.STarXiv:2608.25468v12026
Sundial: A Family of Highly Capable Time Series Foundation Models
Yong Liu, Guo Qin, Zhiyuan Shi +5
cs.LGarXiv:2502.00816v42025
Multi-Modal Anomaly Detection: A Survey
Xudong Mou, Zexin Wu, Chuan Luo +4
cs.LGcs.AIarXiv:2608.24937v12026
Compression Trinity: Exploring Sparsity, Quantization, and Low-Rank Approximations for LLM Compression
Mohammad Mozaffari
cs.AIcs.DCcs.LGarXiv:2608.24070v12026
Provable Quantum--Classical Separation for Continuous Gibbs Sampling
Enrico Olivucci, Mariia Sobchuk, Sehmimul Hoque +4
quant-phcs.DScs.ETarXiv:2608.24527v12026
A Tensorized Transformer for Language Modeling
Xindian Ma, Peng Zhang, Shuai Zhang +4
cs.CLcs.LGarXiv:1906.09777v32019
A Theory of Speciation in Generative Diffusion Models on Compact Riemannian Manifolds
Alessio Marta, Paola Causin
cs.LGarXiv:2608.23798v12026
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
Steffen Eger, Gözde Gül Şahin, Andreas Rücklé +6
cs.CLcs.CRcs.CVarXiv:1903.11508v22019
The Axiomatic Trader: Latent Regularity, Information Budgets, and the Canonical Form of a Quantitative Investment System
Jiayu Li
cs.LGq-fin.PMarXiv:2608.23416v12026
Summaries:한국어
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming
Mrinank Sharma, Meg Tong, Jesse Mu +40
cs.CLcs.AIcs.CRarXiv:2501.18837v12025
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham Kakade, Adam Tauman Kalai, Varun Kanade +1
cs.AIcs.LGstat.MLarXiv:1104.2018v12011
Interpretable Deep Learning under Fire
Xinyang Zhang, Ningfei Wang, Hua Shen +3
cs.CRcs.LGarXiv:1812.00891v32018
DiffusionSat: A Generative Foundation Model for Satellite Imagery
Samar Khanna, Patrick Liu, Linqi Zhou +5
cs.CVcs.AIcs.LGarXiv:2312.03606v22023
Show, Attend and Distill:Knowledge Distillation via Attention-based Feature Matching
Mingi Ji, Byeongho Heo, Sungrae Park
cs.LGarXiv:2102.02973v12021
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Yuxuan Song, Zheng Zhang, Cheng Luo +19
cs.CLcs.LGarXiv:2508.02193v12025
Primal--Dual Alternating Neural Learning for Timely Classification with Performance Guarantees
Jiaming Qiu, Yingye Zheng, Ying-Qi Zhao
stat.MLcs.LGstat.MEarXiv:2608.23480v12026
Mamba-3: Improved Sequence Modeling using State Space Principles
Aakash Lahoti, Kevin Y. Li, Berlin Chen +5
cs.LGarXiv:2603.15569v12026
Poisson Subspace Clustering: Focusing on the Essentials in Count Data
Collin Leiber, Kai Puolamäki, Heikki Mannila
cs.LGarXiv:2608.23287v12026
Symbolic Neural ODEs: Learning interpretable models from time-series data
Nibodh Boddupalli, Jeff Moehlis
cs.LGeess.SYmath.DSarXiv:2608.22112v12026
FreKoo++: Learning Continuous Spectral Dynamics for Temporal Domain Generalization
En Yu, Xiaoyu Yang, Wei Duan +2
cs.LGcs.AIarXiv:2608.22224v12026
Two-level domain-decomposition AdaGrad method for scalable training of graph neural networks
Laurynas Varnas, Julien Herrmann, Alexander Heinlein +2
math.NAcs.LGarXiv:2608.22575v12026

Machine Learning

Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Stealing Machine Learning Models via Prediction APIs

Data Programming: Creating Large Training Sets, Quickly

Thought Anchors: Which LLM Reasoning Steps Matter?

GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Fast Convergence of Regularized Learning in Games

The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning

Convex Optimization: Algorithms and Complexity

Tuned Models of Peer Assessment in MOOCs

On the Theoretical Limitations of Embedding-Based Retrieval

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

Thompson Sampling for Contextual Bandits with Linear Payoffs

Adversarial-Learned Loss for Domain Adaptation

Thompson Sampling: An Asymptotically Optimal Finite Time Analysis

Confidence-Aware Learning for Deep Neural Networks

A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams

Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography

Language Modeling with Deep Transformers

RM-R1: Reward Modeling as Reasoning

On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants

Spectral Convergence of Random Feature Method in Multiple Dimensions

Bayes-Optimal BER and AUC: Estimation and Evaluation of Estimators

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning

Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data

Adversarial camera stickers: A physical camera-based attack on deep learning systems

RL's Razor: Why Online Reinforcement Learning Forgets Less

Pseudo-Simulation for Autonomous Driving

Diffusion-Based Refinement for Kilometer-Scale Probabilistic Precipitation Nowcasting

Multiclass Linear Perceptrons with Multiplicative Margins

Puro-2B: Poor Lab's Qwen2-1.5B Trained on RTX 5090 within $5090

Simple Actors and Deep Critics for Scalable Reinforcement Learning

Predicting Quantifiability from Primary Screens to Prioritize Dose-Response Profiling

CG4AI: A Column Generation Framework for Training AI Models Under Constraints

Why ML-based cough models do not generalize: a systematic cross-dataset evaluation for tuberculosis screening

MetaSieve: Faster Relational Deep Learning through SQL-Based Metapath Selection

Frequency-aware forecasting for short-term typhoon gust prediction

Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality

Sundial: A Family of Highly Capable Time Series Foundation Models

Multi-Modal Anomaly Detection: A Survey

Compression Trinity: Exploring Sparsity, Quantization, and Low-Rank Approximations for LLM Compression

Provable Quantum--Classical Separation for Continuous Gibbs Sampling

A Tensorized Transformer for Language Modeling

A Theory of Speciation in Generative Diffusion Models on Compact Riemannian Manifolds

Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems

The Axiomatic Trader: Latent Regularity, Information Budgets, and the Canonical Form of a Quantitative Investment System

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming

Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression

Interpretable Deep Learning under Fire

DiffusionSat: A Generative Foundation Model for Satellite Imagery

Show, Attend and Distill:Knowledge Distillation via Attention-based Feature Matching

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference

Primal--Dual Alternating Neural Learning for Timely Classification with Performance Guarantees

Mamba-3: Improved Sequence Modeling using State Space Principles

Poisson Subspace Clustering: Focusing on the Essentials in Count Data

Symbolic Neural ODEs: Learning interpretable models from time-series data

FreKoo++: Learning Continuous Spectral Dynamics for Temporal Domain Generalization

Two-level domain-decomposition AdaGrad method for scalable training of graph neural networks