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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31,081 to 31,140 of 32,654

An Exploratory Replica-Overlap Probe of the Grokking Transition
A. C. Opus, J. Q. Lu
cs.LGcond-mat.dis-nncs.AIarXiv:2609.25634v12026
Time Series Clustering via Community Detection in Networks
Leonardo N. Ferreira, Liang Zhao
stat.MLcs.LGcs.SIarXiv:1508.04757v12015
TTLab at AlexandriaX-2026: A Fine-Tuned Surface Tagger for Arabic Machine-Translation Error-Span Detection and Classification
Ali Abusaleh, Bhuvanesh Verma, Alexander Mehler
cs.CLcs.AIcs.LGarXiv:2609.29633v12026
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa +1
cs.LGcs.AIcs.CRarXiv:2111.02791v12021
A Shared Encoder Is Not a Shared Task: Conditional Comparison for Deep Expert Pools
Kentaro Oda
cs.LGcs.AIarXiv:2609.27866v12026
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Lucas Vinh Tran, Yi Tay, Shuai Zhang +2
cs.IRcs.LGstat.MLarXiv:1809.01703v32018
PP-Net: A Hybrid Physical-Prior Neural Network for Scattered Light Removal in Biomedical Images on Embedded Devices
Yongfei Guo, Tingjin Chu, Mengzhuo Liu +2
cs.CVcs.AIcs.LGarXiv:2609.26474v12026
Sample Count Is Not Enough: Candidate-Generation Strategy Shapes the Energy and Performance of LLM Test-Time Scaling
Mobina Kashaniyan, Ali Jannesari
cs.LGcs.DCcs.PFarXiv:2609.19499v22026
Evaluating Accuracy and Probabilistic Reliability of Zero-Shot Time Series Foundation Models
Panagiotis Michael, Moysis Symeonides, Demetris Trihinas
cs.LGcs.AIarXiv:2609.25788v12026
Glocal Information Bottleneck for Time Series Imputation
Jie Yang, Kexin Zhang, Guibin Zhang +2
cs.LGcs.AIarXiv:2510.04910v12025
Train Where the Quantized Model Goes: On-Policy Distillation for Low-Bit Reasoning
Yuanteng Chen, Zhilei Liu, Peisong Wang +7
cs.LGcs.AIarXiv:2609.26708v12026
Learning to Detect Symbolic Failure: Machine Learning and the Limits of Black-Scholes
Juli Huang, Jake Cheng, Rupert Lu
cs.LGcs.CEarXiv:2609.27764v12026
nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models
Matthias Cosler, Christopher Hahn, Daniel Mendoza +2
cs.LOcs.AIcs.LGarXiv:2303.04864v12023
ScoutNeRV: Rapid Encoding of Grid-Based Video INRs via ScoutNet
Naser Alizada, Farhang Baghban, Hashem Pishkar +1
cs.CVcs.LGarXiv:2609.27958v12026
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
Anton Kuznietsov, Balint Gyevnar, Cheng Wang +2
cs.ROcs.AIcs.CVarXiv:2402.10086v22024
Student Engagement Detection Using Emotion Analysis, Eye Tracking and Head Movement with Machine Learning
Prabin Sharma, Shubham Joshi, Subash Gautam +5
cs.CVcs.CYcs.LGarXiv:1909.12913v52019
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Tal Ridnik, Dedy Kredo, Itamar Friedman
cs.LGcs.CLcs.SEarXiv:2401.08500v12024
The Linear Representation Hypothesis Needs a Group Action
Louie Hong Yao, Yuhao Li, Shengchao Liu
cs.LGcs.AIcs.CLarXiv:2609.27158v12026
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
Pierre Chambon, Christian Bluethgen, Jean-Benoit Delbrouck +7
cs.CVcs.AIcs.CLarXiv:2211.12737v12022
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
Aoran Xiao, Jiaxing Huang, Dayan Guan +3
cs.CVcs.AIcs.LGarXiv:2208.00223v12022
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif +1
cs.LGcs.AIarXiv:2101.03655v12021
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection
Tomisin Awosika, Raj Mani Shukla, Bernardi Pranggono
cs.LGcs.AIcs.CRarXiv:2312.13334v12023
FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model
Chunyu Xie, Bin Wang, Fanjing Kong +5
cs.CVcs.AIcs.LGarXiv:2510.10921v32025
Six Layers Less: Encoder Pruning for Whisper with Label-Free Recovery
Rasmus Aagaard, Nicki Skafte Detlefsen
cs.CLcs.LGarXiv:2609.27980v12026
LawBench: Benchmarking Legal Knowledge of Large Language Models
Zhiwei Fei, Xiaoyu Shen, Dawei Zhu +6
cs.CLcs.AIcs.LGarXiv:2309.16289v12023
Survey of Machine Learning Based Intrusion Detection Methods for Internet of Medical Things
Ayoub Si-Ahmed, Mohammed Ali Al-Garadi, Narhimene Boustia
cs.CRcs.LGarXiv:2202.09657v42022
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images
Andres Diaz-Pinto, Sachidanand Alle, Vishwesh Nath +14
cs.HCcs.CVcs.LGarXiv:2203.12362v22022
LLMs or Naive Bayes? Old Gems or New Ways
Mohammad Firas Sada, Dmitry Mishin, John Graham +3
cs.LGcs.AIcs.CLarXiv:2609.13185v12026
SCAPES: Semantically Conditioned Autoregressive Prior for Environmental Sounds
Esteban Gutiérrez, Lonce Wyse, Frederic Font +1
cs.SDcs.AIcs.LGarXiv:2609.04634v12026
Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering
Yuling Shi, Maolin Sun, Zijun Liu +4
cs.CLcs.LGarXiv:2601.11255v12026
HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated Industries
Shangxuan Tian, Yanhui Chen, Carlos Queiroz
cs.AIcs.CVcs.IRarXiv:2608.21792v12026
MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models
Hyunjae Kim, Dain Kim, Pan Xiao +25
cs.CVcs.LGarXiv:2607.07673v12026
Neural Fields in Visual Computing and Beyond
Yiheng Xie, Towaki Takikawa, Shunsuke Saito +7
cs.CVcs.GRcs.LGarXiv:2111.11426v42021
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
Guru Prasad Bhandari, Amara Naseer, Leon Moonen
cs.SEcs.AIcs.CRarXiv:2107.08760v12021
Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User Behavior
Kosuke Iguchi, Ren Kishimoto
cs.LGcs.IRarXiv:2608.29600v12026
Recovering Expert Critic-Sourced Network Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity Approach
Elena Badillo-Goicoechea, Fengfeng He
stat.MLcs.LGarXiv:2608.27291v12026
PRIME: Mitigating Subgroup Optimization Competition in Shared CTR Top Networks with Plug-in Residual Input-Conditioned Mixture of Expert
Heng Yao, Siyun Hou, Tianying Liu +8
cs.LGcs.IRarXiv:2608.30449v12026
Towards Actionable Surgical Team Dynamics: from Teamwork to Counterfactual Annotations
Vincenzo Marco De Luca, Antonio Longa, Andrea Passerini
cs.LGarXiv:2608.23344v12026
B2B Customer Conversion Prediction: A Document Representation, Graph Theory, and CatBoost Driven Methodology
Tianqi Wang, Sheikh Shams Azam, Wan Eih Huang +3
cs.LGarXiv:2609.03239v12026
When Test-Time Adaptation Helps, Harms, or Becomes Inactive: A Condition-Level Study on CIFAR-10-C
Sreeja Guha Majumdar, Aratrika Saha
cs.LGcs.CVarXiv:2608.22233v12026
Anchoring Bias: A Persistent Fairness Backdoor Attack against MLLMs under Continual Learning
Yuyang Luo, Kai Shu
cs.LGcs.AIarXiv:2608.21577v12026
Interactive Analysis of Global Explanations using Aggregated Class Activation Maps for Network Data
Igor Cherepanov, David Sessler, Alex Ulmer +3
cs.HCcs.AIcs.LGarXiv:2608.13575v12026
Does ISO-Grounded NFR Specification Improve LLM Code Generation? A Comparison of Rich and Structured Interventions against a Natural-Language Baseline
Joào Pedro Monteiro Pereira, Vinicius Cardoso Garcia
cs.SEcs.AIcs.LGarXiv:2608.13742v12026
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
Nikhil Keetha, Norman Müller, Johannes Schönberger +14
cs.CVcs.AIcs.LGarXiv:2509.13414v32025
A Comprehensive Review of Data-Driven Co-Speech Gesture Generation
Simbarashe Nyatsanga, Taras Kucherenko, Chaitanya Ahuja +2
cs.GRcs.CVcs.HCarXiv:2301.05339v42023
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer, Katja Schwarz, Andreas Geiger
cs.LGcs.CVarXiv:2202.00273v22022
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs
Pu Ren, Chengping Rao, Yang Liu +2
cs.LGcs.CLmath.NAarXiv:2106.14103v12021
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
Zezhi Shao, Zhao Zhang, Fei Wang +1
cs.LGarXiv:2206.09113v22022
Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions
Mengxi Liu, Qian Shi, Andrea Marinoni +3
eess.IVcs.CVcs.LGarXiv:2103.00188v12021
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba, Shotaro Sano, Toshihiko Yanase +2
cs.LGstat.MLarXiv:1907.10902v12019
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
Harini Suresh, Steven R. Gomez, Kevin K. Nam +1
cs.HCcs.CYcs.LGarXiv:2101.09824v12021
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
cs.LGcs.ARcs.DCarXiv:1908.03072v22019
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas +4
cs.LGcs.CRstat.MLarXiv:2004.05703v12020
Metric Learning for Adversarial Robustness
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang +2
cs.LGcs.CRcs.CVarXiv:1909.00900v22019
When Deep Learning Met Code Search
Jose Cambronero, Hongyu Li, Seohyun Kim +2
cs.SEcs.CLcs.LGarXiv:1905.03813v42019
A First Look at Deep Learning Apps on Smartphones
Mengwei Xu, Jiawei Liu, Yuanqiang Liu +3
cs.LGcs.CYarXiv:1812.05448v42018
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection
Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu +2
eess.AScs.LGcs.SDarXiv:1908.03299v12019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos, Patricia Rubisch, Claudio Michaelis +3
cs.CVcs.AIcs.LGarXiv:1811.12231v32018
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt +2
stat.MLcs.LGcs.NEarXiv:1706.06083v42017
Robots that can adapt like animals
Antoine Cully, Jeff Clune, Danesh Tarapore +1
cs.ROcs.AIcs.LGarXiv:1407.3501v42014

Machine Learning

An Exploratory Replica-Overlap Probe of the Grokking Transition

Time Series Clustering via Community Detection in Networks

TTLab at AlexandriaX-2026: A Fine-Tuned Surface Tagger for Arabic Machine-Translation Error-Span Detection and Classification

A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection

A Shared Encoder Is Not a Shared Task: Conditional Comparison for Deep Expert Pools

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

PP-Net: A Hybrid Physical-Prior Neural Network for Scattered Light Removal in Biomedical Images on Embedded Devices

Sample Count Is Not Enough: Candidate-Generation Strategy Shapes the Energy and Performance of LLM Test-Time Scaling

Evaluating Accuracy and Probabilistic Reliability of Zero-Shot Time Series Foundation Models

Glocal Information Bottleneck for Time Series Imputation

Train Where the Quantized Model Goes: On-Policy Distillation for Low-Bit Reasoning

Learning to Detect Symbolic Failure: Machine Learning and the Limits of Black-Scholes

nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models

ScoutNeRV: Rapid Encoding of Grid-Based Video INRs via ScoutNet

Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review

Student Engagement Detection Using Emotion Analysis, Eye Tracking and Head Movement with Machine Learning

Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering

The Linear Representation Hypothesis Needs a Group Action

RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities

Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection

FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model

Six Layers Less: Encoder Pruning for Whisper with Label-Free Recovery

LawBench: Benchmarking Legal Knowledge of Large Language Models

Survey of Machine Learning Based Intrusion Detection Methods for Internet of Medical Things

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images

LLMs or Naive Bayes? Old Gems or New Ways

SCAPES: Semantically Conditioned Autoregressive Prior for Environmental Sounds

Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering

HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated Industries

MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models

Neural Fields in Visual Computing and Beyond

CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software

Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User Behavior

Recovering Expert Critic-Sourced Network Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity Approach

PRIME: Mitigating Subgroup Optimization Competition in Shared CTR Top Networks with Plug-in Residual Input-Conditioned Mixture of Expert

Towards Actionable Surgical Team Dynamics: from Teamwork to Counterfactual Annotations

B2B Customer Conversion Prediction: A Document Representation, Graph Theory, and CatBoost Driven Methodology

When Test-Time Adaptation Helps, Harms, or Becomes Inactive: A Condition-Level Study on CIFAR-10-C

Anchoring Bias: A Persistent Fairness Backdoor Attack against MLLMs under Continual Learning

Interactive Analysis of Global Explanations using Aggregated Class Activation Maps for Network Data

Does ISO-Grounded NFR Specification Improve LLM Code Generation? A Comparison of Rich and Structured Interventions against a Natural-Language Baseline

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

A Comprehensive Review of Data-Driven Co-Speech Gesture Generation

StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting

Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions

Optuna: A Next-generation Hyperparameter Optimization Framework

Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs

TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning

DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments

Metric Learning for Adversarial Robustness

When Deep Learning Met Code Search

A First Look at Deep Learning Apps on Smartphones

ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Towards Deep Learning Models Resistant to Adversarial Attacks

Robots that can adapt like animals