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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2,521 to 2,580 of 20,069

Risk-Conditioned Fine-Tuning of Large Language Models
Zixuan Liu, Fangzheng Wu, Brian Summa +1
cs.LGarXiv:2609.08064v12026
Robust Subspace Clustering via Thresholding
Reinhard Heckel, Helmut Bölcskei
stat.MLcs.ITcs.LGarXiv:1307.4891v42013
Hyperbolic Image-Text Representations
Karan Desai, Maximilian Nickel, Tanmay Rajpurohit +2
cs.CVcs.LGarXiv:2304.09172v32023
Secure Evaluation of Quantized Neural Networks
Anders Dalskov, Daniel Escudero, Marcel Keller
cs.CRcs.LGarXiv:1910.12435v22019
Adversarially Trained Actor Critic for Offline Reinforcement Learning
Ching-An Cheng, Tengyang Xie, Nan Jiang +1
cs.LGarXiv:2202.02446v22022
Learning Length-Extrapolatable Recurrent Models
Hanwen Jiang
cs.LGcs.CLarXiv:2609.09157v12026
Submodular Functions: from Discrete to Continous Domains
Francis Bach
cs.LGmath.OCarXiv:1511.00394v22015
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Ruben Ohana, Michael McCabe, Lucas Meyer +24
cs.LGphysics.flu-dynarXiv:2412.00568v22024
Symmetry and Group in Attribute-Object Compositions
Yong-Lu Li, Yue Xu, Xiaohan Mao +1
cs.CVcs.LGarXiv:2004.00587v12020
Thompson Sampling for Combinatorial Semi-Bandits
Siwei Wang, Wei Chen
cs.LGarXiv:1803.04623v52018
Rates of Convergence for Nearest Neighbor Classification
Kamalika Chaudhuri, Sanjoy Dasgupta
cs.LGmath.STstat.MLarXiv:1407.0067v22014
Unsupervised Multi-source Domain Adaptation Without Access to Source Data
Sk Miraj Ahmed, Dripta S. Raychaudhuri, Sujoy Paul +2
cs.LGcs.CVarXiv:2104.01845v12021
Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation
Jiacheng Xu, Feng Chen, Xiuneng Xu +1
cs.LGcs.CLarXiv:2609.09135v12026
A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing
Jianguo Chen, Kenli Li, Huigui Rong +3
cs.LGstat.MLarXiv:1810.07762v12018
Beyond One-Step-Ahead Forecasting: Evaluation of Alternative Multi-Step-Ahead Forecasting Models for Crude Oil Prices
Tao Xiong, Yukun Bao, Zhongyi Hu
cs.LGcs.AIarXiv:1401.1560v12014
Pedestrian Attribute Recognition: A Survey
Xiao Wang, Shaofei Zheng, Rui Yang +4
cs.CVcs.AIcs.LGarXiv:1901.07474v22019
A Closed-Form Estimator and Diagnostic Battery for Anchor-Judge Error Correlation, Under a Single-Common-Factor Model
Veerendra Kumar Sunkavalli
stat.MEcs.CLcs.LGarXiv:2609.08826v12026
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li, Zhen Wang, Yankai Chen +3
cs.LGarXiv:2405.00334v22024
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks
Yuanqi Gao, Wei Wang, Nanpeng Yu
eess.SYcs.LGarXiv:2007.02991v12020
Accurate Genomic Prediction Of Human Height
Louis Lello, Steven G. Avery, Laurent Tellier +3
q-bio.GNcs.LGq-bio.QMarXiv:1709.06489v12017
A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice
Juri Opitz
cs.LGcs.CLarXiv:2404.16958v22024
Improving Chemical Autoencoder Latent Space and Molecular De novo Generation Diversity with Heteroencoders
Esben Jannik Bjerrum, Boris Sattarov
cs.LGstat.MLarXiv:1806.09300v22018
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
Samuel Henrique Silva, Peyman Najafirad
cs.LGcs.AIstat.MLarXiv:2007.00753v22020
Data-driven polynomial chaos expansion for machine learning regression
E. Torre, S. Marelli, P. Embrechts +1
stat.MLcs.LGstat.COarXiv:1808.03216v22018
Rotating without Seeing: Towards In-hand Dexterity through Touch
Zhao-Heng Yin, Binghao Huang, Yuzhe Qin +2
cs.ROcs.AIcs.LGarXiv:2303.10880v42023
TontaubeV1: Streaming Text-to-Speech with Hierarchical Codec Modeling and Bounded Context
Fritz Cremer, Jonathan Cremer
cs.SDcs.CLcs.LGarXiv:2609.08703v12026
Bias and Generalization in Deep Generative Models: An Empirical Study
Shengjia Zhao, Hongyu Ren, Arianna Yuan +3
cs.LGstat.MLarXiv:1811.03259v12018
Physics of Language Models: Part 3.2, Knowledge Manipulation
Zeyuan Allen-Zhu, Yuanzhi Li
cs.CLcs.AIcs.LGarXiv:2309.14402v22023
Distillation as Probability Transport: Routed On-Policy Distillation
Tianle Xia, Lingxiang Hu, Yiding Sun +6
cs.LGcs.CLarXiv:2609.08337v12026
Solving for high dimensional committor functions using artificial neural networks
Yuehaw Khoo, Jianfeng Lu, Lexing Ying
cs.LGmath.NAstat.MLarXiv:1802.10275v12018
HoneyRoute: Honeypot-Model Routing for Adversarial LLM Serving
Han Jin
cs.CRcs.CLcs.LGarXiv:2609.08306v22026
The mixed deep energy method for resolving concentration features in finite strain hyperelasticity
Jan N. Fuhg, Nikolaos Bouklas
cs.CEcs.LGarXiv:2104.09623v12021
To Believe or Not to Believe Your LLM
Yasin Abbasi Yadkori, Ilja Kuzborskij, András György +1
cs.LGcs.AIcs.CLarXiv:2406.02543v22024
Pathways: Asynchronous Distributed Dataflow for ML
Paul Barham, Aakanksha Chowdhery, Jeff Dean +13
cs.DCcs.LGarXiv:2203.12533v12022
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation
Zahra Zamanzadeh Darban, Mohammad Hadi Valipour
cs.IRcs.AIcs.LGarXiv:2111.11293v22021
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
Adam Thelen, Xiaoge Zhang, Olga Fink +7
cs.LGmath.OCarXiv:2208.12904v12022
Evaluation of Contextual Understanding in Large Language Models
Subavarshana Arumugam, Mamta Nallaretnam, Kithuni Wickramasinghe +4
cs.CLcs.LGarXiv:2609.09004v12026
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan +1
cs.LGcs.GTcs.MAarXiv:2010.12797v12020
Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study
Peng Xu, Farbod Roosta-Khorasani, Michael W. Mahoney
math.OCcs.LGmath.NAarXiv:1708.07827v22017
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
Long Xin, Pin Wang, Ching-Yao Chan +3
cs.LGcs.ROstat.MLarXiv:1906.02815v12019
Fast Multi-language LSTM-based Online Handwriting Recognition
Victor Carbune, Pedro Gonnet, Thomas Deselaers +7
cs.CLcs.LGstat.MLarXiv:1902.10525v22019
MahNMF: Manhattan Non-negative Matrix Factorization
Naiyang Guan, Dacheng Tao, Zhigang Luo +1
stat.MLcs.LGmath.NAarXiv:1207.3438v12012
Eigenvalue and Generalized Eigenvalue Problems: Tutorial
Benyamin Ghojogh, Fakhri Karray, Mark Crowley
stat.MLcs.LGarXiv:1903.11240v32019
AgentDrift: A Step-Labeled Benchmark of Injection-Hijacked LLM Agent Trajectories
Asif Pinjari, Mithun Paul Saint-Germain
cs.CRcs.AIcs.LGarXiv:2609.06972v12026
TextScanner: Reading Characters in Order for Robust Scene Text Recognition
Zhaoyi Wan, Minghang He, Haoran Chen +2
cs.CVcs.CLcs.LGarXiv:1912.12422v22019
Federated learning with class imbalance reduction
Miao Yang, Akitanoshou Wong, Hongbin Zhu +2
cs.LGcs.AIcs.DCarXiv:2011.11266v12020
Steering Interference Reflects the Model's Defaults, Not the Behavior Directions
Srikanth Malla, Chiho Choi, Joon Hee Choi
cs.LGcs.AIarXiv:2609.06951v12026
Model Extraction Warning in MLaaS Paradigm
Manish Kesarwani, Bhaskar Mukhoty, Vijay Arya +1
cs.LGcs.CRcs.DCarXiv:1711.07221v12017
The Geometry of Refusal: Why Post-Hoc Safety Is Fragile and Pretraining-Time Safety Persists
Srikanth Malla, Chiho Choi, Joon Hee Choi
cs.LGcs.AIarXiv:2609.06934v12026
Learning to Infer and Execute 3D Shape Programs
Yonglong Tian, Andrew Luo, Xingyuan Sun +4
cs.CVcs.AIcs.GRarXiv:1901.02875v32019
Analogies Explained: Towards Understanding Word Embeddings
Carl Allen, Timothy Hospedales
cs.CLcs.LGstat.MLarXiv:1901.09813v22019
Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify Pavement Distresses
Hamed Majidifard, Peng Jin, Yaw Adu-Gyamfi +1
cs.CVcs.LGstat.MLarXiv:1910.11123v22019
Few-Shot Text Generation with Pattern-Exploiting Training
Timo Schick, Hinrich Schütze
cs.CLcs.LGarXiv:2012.11926v22020
Constrained Online Learning with Noisy Constraint Values
Vaneet Aggarwal
cs.LGcs.AImath.OCarXiv:2609.06921v12026
From Synthetic Priors to Model Behavior: Structural Coverage in Tabular Foundation Models
He Zhao, Ryan Thompson, Daniel M. Steinberg +3
cs.LGcs.AIarXiv:2609.06912v12026
PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries
Hailong Sheng, Chao Yang
math.NAcs.LGarXiv:2004.06490v22020
Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning
Mahmoud Selim, Cristina Cipriani, Karl H. Johansson
cs.LGcs.AIcs.ROarXiv:2609.06882v12026
Personalized Language Modeling from Personalized Human Feedback
Xinyu Li, Ruiyang Zhou, Zachary C. Lipton +1
cs.CLcs.AIcs.LGarXiv:2402.05133v32024
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin, William Yang Wang
cs.CLcs.AIcs.LGarXiv:1811.00196v22018
iVideoGPT: Interactive VideoGPTs are Scalable World Models
Jialong Wu, Shaofeng Yin, Ningya Feng +4
cs.CVcs.LGcs.ROarXiv:2405.15223v32024

Machine Learning

Risk-Conditioned Fine-Tuning of Large Language Models

Robust Subspace Clustering via Thresholding

Hyperbolic Image-Text Representations

Secure Evaluation of Quantized Neural Networks

Adversarially Trained Actor Critic for Offline Reinforcement Learning

Learning Length-Extrapolatable Recurrent Models

Submodular Functions: from Discrete to Continous Domains

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning

Symmetry and Group in Attribute-Object Compositions

Thompson Sampling for Combinatorial Semi-Bandits

Rates of Convergence for Nearest Neighbor Classification

Unsupervised Multi-source Domain Adaptation Without Access to Source Data

Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation

A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing

Beyond One-Step-Ahead Forecasting: Evaluation of Alternative Multi-Step-Ahead Forecasting Models for Crude Oil Prices

Pedestrian Attribute Recognition: A Survey

A Closed-Form Estimator and Diagnostic Battery for Anchor-Judge Error Correlation, Under a Single-Common-Factor Model

A Survey on Deep Active Learning: Recent Advances and New Frontiers

Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks

Accurate Genomic Prediction Of Human Height

A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice

Improving Chemical Autoencoder Latent Space and Molecular De novo Generation Diversity with Heteroencoders

Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey

Data-driven polynomial chaos expansion for machine learning regression

Rotating without Seeing: Towards In-hand Dexterity through Touch

TontaubeV1: Streaming Text-to-Speech with Hierarchical Codec Modeling and Bounded Context

Bias and Generalization in Deep Generative Models: An Empirical Study

Physics of Language Models: Part 3.2, Knowledge Manipulation

Distillation as Probability Transport: Routed On-Policy Distillation

Solving for high dimensional committor functions using artificial neural networks

HoneyRoute: Honeypot-Model Routing for Adversarial LLM Serving

The mixed deep energy method for resolving concentration features in finite strain hyperelasticity

To Believe or Not to Believe Your LLM

Pathways: Asynchronous Distributed Dataflow for ML

GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation

A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives

Evaluation of Contextual Understanding in Large Language Models

Collaborative Machine Learning with Incentive-Aware Model Rewards

Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study

Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks

Fast Multi-language LSTM-based Online Handwriting Recognition

MahNMF: Manhattan Non-negative Matrix Factorization

Eigenvalue and Generalized Eigenvalue Problems: Tutorial

AgentDrift: A Step-Labeled Benchmark of Injection-Hijacked LLM Agent Trajectories

TextScanner: Reading Characters in Order for Robust Scene Text Recognition

Federated learning with class imbalance reduction

Steering Interference Reflects the Model's Defaults, Not the Behavior Directions

Model Extraction Warning in MLaaS Paradigm

The Geometry of Refusal: Why Post-Hoc Safety Is Fragile and Pretraining-Time Safety Persists

Learning to Infer and Execute 3D Shape Programs

Analogies Explained: Towards Understanding Word Embeddings

Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify Pavement Distresses

Few-Shot Text Generation with Pattern-Exploiting Training

Constrained Online Learning with Noisy Constraint Values

From Synthetic Priors to Model Behavior: Structural Coverage in Tabular Foundation Models

PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries

Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning

Personalized Language Modeling from Personalized Human Feedback

Towards Explainable NLP: A Generative Explanation Framework for Text Classification

iVideoGPT: Interactive VideoGPTs are Scalable World Models