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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31,801 to 31,860 of 32,890

Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data
Maziar Raissi, Alireza Yazdani, George Em Karniadakis
cs.CEcs.LGphysics.flu-dynarXiv:1808.04327v12018
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges
Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird +2
cs.CVcs.LGarXiv:2303.01498v32023
MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features
Shakti N. Wadekar, Abhishek Chaurasia
cs.CVcs.AIcs.LGarXiv:2209.15159v22022
On Attention Models for Human Activity Recognition
Vishvak S Murahari, Thomas Ploetz
cs.CVcs.AIcs.LGarXiv:1805.07648v12018
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Aleksandar Vakanski, Min Xian, Phoebe Freer
eess.IVcs.LGstat.MLarXiv:1910.08978v22019
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data
Ethan Steinberg, Ken Jung, Jason A. Fries +3
cs.CLcs.LGstat.MLarXiv:2001.05295v22020
sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings
Andrew Trask, Phil Michalak, John Liu
cs.CLcs.LGarXiv:1511.06388v12015
MLPACK: A Scalable C++ Machine Learning Library
Ryan R. Curtin, James R. Cline, N. P. Slagle +4
cs.MScs.CVcs.LGarXiv:1210.6293v12012
Membership Inference Attacks by Exploiting Loss Trajectory
Yiyong Liu, Zhengyu Zhao, Michael Backes +1
cs.CRcs.LGarXiv:2208.14933v12022
An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification
Abien Fred Agarap
cs.CVcs.LGcs.NEarXiv:1712.03541v22017
Audio Spectrogram Representations for Processing with Convolutional Neural Networks
L. Wyse
cs.SDcs.LGcs.MMarXiv:1706.09559v12017
High Accuracy Android Malware Detection Using Ensemble Learning
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik
cs.CRcs.LGarXiv:1608.00835v12016
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff, Claas Strodthoff
cs.CYcs.LGstat.MLarXiv:1806.07385v22018
Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer, Bharath Hariharan
cs.CVcs.AIcs.LGarXiv:1904.08502v22019
From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs
Usha Shrestha, Dmitry Ignatov, Radu Timofte
cs.CVcs.LGarXiv:2601.03808v22026
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing
Ioannis Kakogeorgiou, Konstantinos Karantzalos
cs.LGcs.CVarXiv:2104.01375v22021
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Feng Xie, Han Yuan, Yilin Ning +5
cs.LGarXiv:2107.09951v12021
Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks
Alhassan Mabrouk, Rebeca P. Díaz Redondo, Abdelghani Dahou +2
eess.IVcs.CVcs.LGarXiv:2312.07965v12023
Same Request, Different Answer: Quantization Amplifies Cache-Induced Divergence in LLM Serving
Aditi Patodiya
cs.SEcs.DCcs.LGarXiv:2609.04748v12026
Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks
Soraya V. Panambalom, Edoardo Altamura, Nick Chancellor +1
quant-phcs.ETcs.LGarXiv:2609.05060v12026
Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks
Zhenguo Nie, Haoliang Jiang, Levent Burak Kara
cs.LGstat.MLarXiv:1808.08914v32018
Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar
Shayan Sharifi, Riccardo Treu, Ilaria Gandin +3
cs.LGstat.MLarXiv:2609.05294v12026
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks
Zifeng Guo, Joao P. Leitao, Nuno E. Simoes +1
cs.CVcs.CYcs.LGarXiv:2004.08340v22020
Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey
Mohammed Abuhamad, Ahmed Abusnaina, DaeHun Nyang +1
cs.CRcs.HCcs.LGarXiv:2001.08578v22020
Deep Microcompression: Structured Pruning and Bit-packed Quantization for Microcontrollers
Opegbemi Matthias Busoye, Tolulope Matthew Busoye, Eghonghon-aye Eigbe
cs.LGarXiv:2609.05081v12026
Geoopt: Riemannian Optimization in PyTorch
Max Kochurov, Rasul Karimov, Serge Kozlukov
cs.CGcs.LGarXiv:2005.02819v52020
A Comparative Study of Counterfactual Explainers for Graph Neural Networks Enabling Multiple Types of Graph Edit
Maria Myrto Villia, Filippos Gouidis, Theodore Patkos +1
cs.LGarXiv:2609.05113v12026
From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures
Waleed Khalid, Dmitry Ignatov, Radu Timofte
cs.LGcs.CVarXiv:2601.02997v22026
Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR
Muhammad Khalifa, Zohaib Khan, Omer Tafveez +2
cs.LGcs.AIcs.CLarXiv:2603.07084v22026
Limits of End-to-End Learning
Tobias Glasmachers
cs.LGstat.MLarXiv:1704.08305v12017
Survey of Dropout Methods for Deep Neural Networks
Alex Labach, Hojjat Salehinejad, Shahrokh Valaee
cs.NEcs.AIcs.LGarXiv:1904.13310v22019
LexFlip: A Dissociation Diagnostic for Legal Meaning Preservation Metrics
Gaurab Baral
cs.CLcs.LGarXiv:2609.05296v12026
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Zhixuan Liang, Yao Mu, Mingyu Ding +3
cs.LGarXiv:2302.01877v22023
AgentGuardian: Learning Access Control Policies to Govern AI Agent Behavior
Nadya Abaev, Denis Klimov, Gerard Levinov +3
cs.CRcs.AIcs.LGarXiv:2601.10440v12026
Phase Transition Frequency as a Training Time Predictor of Test Accuracy in ResNets
Arunan J
cs.LGcs.AIarXiv:2609.05194v12026
SideQuest: Model-Driven KV Cache Management for Long-Horizon Agentic Reasoning
Sanjay Kariyappa, G. Edward Suh
cs.AIcs.LGarXiv:2602.22603v22026
Look-Ahead-Bench: a Standardized Benchmark of Look-ahead Bias in Point-in-Time LLMs for Finance
Mostapha Benhenda
cs.AIcs.CLcs.LGarXiv:2601.13770v12026
Methane Detection On Board Satellites from Unorthorectified Imagery
Luca Marini, Maggie Chen, Hala Lamdouar +3
cs.CVcs.AIcs.LGarXiv:2609.04906v12026
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel +7
cs.LGcs.AIarXiv:2401.02456v12024
Split Learning for collaborative deep learning in healthcare
Maarten G. Poirot, Praneeth Vepakomma, Ken Chang +3
cs.LGcs.DCstat.MLarXiv:1912.12115v12019
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
Wei-Hong Lin, Jia-Xing Zhong, Shan Liu +2
cs.CVcs.LGeess.IVarXiv:1911.03029v22019
Counterfactual Explanations Can Be Manipulated
Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju +1
cs.LGarXiv:2106.02666v22021
Anomalous sound detection based on interpolation deep neural network
Kaori Suefusa, Tomoya Nishida, Harsh Purohit +3
eess.AScs.LGcs.SDarXiv:2005.09234v12020
Value-aware Quantization for Training and Inference of Neural Networks
Eunhyeok Park, Sungjoo Yoo, Peter Vajda
cs.NEcs.LGarXiv:1804.07802v12018
Muon$^2$: Boosting Muon via Adaptive Second-Moment Preconditioning
Ziyue Liu, Ruijie Zhang, Zhengyang Wang +4
cs.LGcs.AIarXiv:2604.09967v22026
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian +8
eess.SPcs.LGarXiv:2109.01120v22021
Neural Scaling Laws for Boosted Jet Tagging
Matthias Vigl, Nicole Hartman, Michael Kagan +1
hep-excs.LGhep-pharXiv:2602.15781v12026
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury +2
cs.CLcs.AIcs.LGarXiv:2010.01029v22020
Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill Synthesis
Zhengbo Jiao, Shaobo Wang, Zifan Zhang +5
cs.AIcs.LGarXiv:2602.03279v12026
Mind the Gap: Robustness Risks in PII Detection Systems
Adeel Zafar, Slawomir Nowaczyk
cs.LGarXiv:2609.03464v12026
Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
Nilaksh, Saurav Jha, Artem Zholus +1
cs.CVcs.LGcs.ROarXiv:2605.06388v12026
Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks
Ang Li, Yin Zhou, Vethavikashini Chithrra Raghuram +2
cs.LGcs.AIarXiv:2502.08586v12025
Limits of trust in medical AI
Joshua Hatherley
cs.LGcs.AIcs.CYarXiv:2503.16692v22025
An effective algorithm for hyperparameter optimization of neural networks
Gonzalo Diaz, Achille Fokoue, Giacomo Nannicini +1
cs.AIcs.LGcs.NEarXiv:1705.08520v12017
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu, Dayong Ye, Wei Wang +2
cs.CRcs.LGstat.MLarXiv:2008.01916v12020
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
Yifan Zeng, Yiran Wu, Xiao Zhang +2
cs.LGcs.CLcs.CRarXiv:2403.04783v22024
REST: Retrieval-Based Speculative Decoding
Zhenyu He, Zexuan Zhong, Tianle Cai +2
cs.CLcs.AIcs.IRarXiv:2311.08252v22023
PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data
Pu Cheng, Juncheng Liu, Yunshen Long
q-fin.CPcs.AIcs.LGarXiv:2604.14199v12026
Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models
Jinghan Cao, Yu Ma, Xinjin Li +2
cs.CLcs.LGarXiv:2603.21389v12026
Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling
Ahmed Elnaggar, Hazem Essam, Wafaa Salah-Eldin +4
cs.LGcs.CLcs.DCarXiv:2301.06568v12023

Machine Learning

Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges

MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features

On Attention Models for Human Activity Recognition

Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images

Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data

sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings

MLPACK: A Scalable C++ Machine Learning Library

Membership Inference Attacks by Exploiting Loss Trajectory

An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification

Audio Spectrogram Representations for Processing with Convolutional Neural Networks

High Accuracy Android Malware Detection Using Ensemble Learning

Detecting and interpreting myocardial infarction using fully convolutional neural networks

Few-Shot Learning with Localization in Realistic Settings

From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs

Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing

Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies

Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks

Same Request, Different Answer: Quantization Amplifies Cache-Induced Divergence in LLM Serving

Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar

Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks

Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey

Deep Microcompression: Structured Pruning and Bit-packed Quantization for Microcontrollers

Geoopt: Riemannian Optimization in PyTorch

A Comparative Study of Counterfactual Explainers for Graph Neural Networks Enabling Multiple Types of Graph Edit

From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures

Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR

Limits of End-to-End Learning

Survey of Dropout Methods for Deep Neural Networks

LexFlip: A Dissociation Diagnostic for Legal Meaning Preservation Metrics

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

AgentGuardian: Learning Access Control Policies to Govern AI Agent Behavior

Phase Transition Frequency as a Training Time Predictor of Test Accuracy in ResNets

SideQuest: Model-Driven KV Cache Management for Long-Horizon Agentic Reasoning

Look-Ahead-Bench: a Standardized Benchmark of Look-ahead Bias in Point-in-Time LLMs for Finance

Methane Detection On Board Satellites from Unorthorectified Imagery

A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management

Split Learning for collaborative deep learning in healthcare

RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection

Counterfactual Explanations Can Be Manipulated

Anomalous sound detection based on interpolation deep neural network

Value-aware Quantization for Training and Inference of Neural Networks

Muon$^2$: Boosting Muon via Adaptive Second-Moment Preconditioning

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

Neural Scaling Laws for Boosted Jet Tagging

TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation

Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill Synthesis

Mind the Gap: Robustness Risks in PII Detection Systems

Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks

Limits of trust in medical AI

An effective algorithm for hyperparameter optimization of neural networks

More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

REST: Retrieval-Based Speculative Decoding

PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data

Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models

Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling