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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31,981 to 32,040 of 32,987

FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
Javier Hernandez-Ortega, Javier Galbally, Julian Fierrez +2
cs.CVcs.LGeess.IVarXiv:1904.01740v22019
Deep Reinforcement Learning for Autonomous Driving
Sen Wang, Daoyuan Jia, Xinshuo Weng
cs.CVcs.LGcs.ROarXiv:1811.11329v32018
Deep learning at the shallow end: Malware classification for non-domain experts
Quan Le, Oisín Boydell, Brian Mac Namee +1
cs.CRcs.AIcs.LGarXiv:1807.08265v12018
A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games
Zhengyang Li, Qijin Ji, Xinghong Ling +1
cs.LGarXiv:2509.03682v12025
OCTID: Optical Coherence Tomography Image Database
Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy +1
cs.CVcs.LGarXiv:1812.07056v22018
UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation
Oleg Sautenkov, Yasheerah Yaqoot, Artem Lykov +7
cs.ROcs.AIcs.CVarXiv:2501.05014v22025
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
Nadya Abdel Madjid, Abdulrahman Ahmad, Murad Mebrahtu +7
cs.ROcs.AIcs.CVarXiv:2503.03262v32025
An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud Detection
Basil Sajid Shaikh, Melrick Mascarenhas, Nuzhat Faiz Shaikh
cs.AIcs.LGarXiv:2608.29973v12026
EDGE: Engine for Deterministic Graph Evaluation through Conversation Simulation from Graph Structured DSL Configuration
Ram Kulathumani, Regunathan Radhakrishnan, Anupam Tripathi +5
cs.AIcs.LGarXiv:2608.29971v12026
End-to-End Deep Reinforcement Learning for Lane Keeping Assist
Ahmad El Sallab, Mohammed Abdou, Etienne Perot +1
stat.MLcs.LGcs.ROarXiv:1612.04340v12016
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
Katja Berger, Jochem Verrelst, Jean-Baptiste Féret +4
q-bio.QMcs.LGarXiv:2012.05043v12020
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
Abhiram Maddukuri, Zhenyu Jiang, Lawrence Yunliang Chen +12
cs.ROcs.AIcs.LGarXiv:2503.24361v22025
Continual Learning via Neural Pruning
Siavash Golkar, Michael Kagan, Kyunghyun Cho
cs.LGcs.NEq-bio.NCarXiv:1903.04476v12019
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen, Jian Zhang, Xuanheng Xu +4
cs.SIcs.LGarXiv:1902.08329v12019
Explanations, Prompts, and Formalizations: Arguments for New Norms in LLM-Enabled Mathematical Research
Axel Boldt
math.HOcs.LGarXiv:2608.29401v12026
Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis
Nipa Anjum, Md Irfan Pavel, Robert Gonzalez +4
cs.HCcs.AIcs.LGarXiv:2608.28844v12026
Do Massively Pretrained Language Models Make Better Storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena +2
cs.CLcs.AIcs.LGarXiv:1909.10705v12019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Po-Sen Huang, Robert Stanforth, Johannes Welbl +5
cs.CLcs.CRcs.LGarXiv:1909.01492v22019
Mutation-Guided LLM-based Test Generation at Meta
Christopher Foster, Abhishek Gulati, Mark Harman +5
cs.SEcs.AIcs.LGarXiv:2501.12862v12025
Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models
Hermione Warr, Harry Anthony, Lilli J Freischem +3
cs.LGcs.AIarXiv:2608.30021v12026
On the Instance Hardness as a Decision Criterion in TinyML Systems
Tobiasz Puslecki, Krzysztof Walkowiak
cs.AIcs.LGarXiv:2608.29913v12026
Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems
Eirini Anthi, Lowri Williams, Matilda Rhode +2
cs.LGcs.CReess.SParXiv:2004.05005v12020
MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents
Hei Ting, Chan, Chenwei Wu +5
cs.LGcs.DCcs.MAarXiv:2608.29528v12026
LEMUR 2: Unlocking Neural Network Diversity for AI
Tolgay Atinc Uzun, Waleed Khalid, Saif U Din +17
cs.LGcs.CVarXiv:2607.06839v12026
LSHTC: A Benchmark for Large-Scale Text Classification
Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis +6
cs.IRcs.CLcs.LGarXiv:1503.08581v12015
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
Zihan Qiu, Zeyu Huang, Bo Zheng +7
cs.LGcs.CLarXiv:2501.11873v22025
Physiological Information Reliability: Cross-Layer Adaptive Resource Allocation for Cardiovascular Sensing
Navaneeth Krishnan Kamalakannan, Janakiraman Kamalakannan, Harinisri Velmurugan
eess.SPcs.LGcs.NIarXiv:2609.00435v12026
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms
Mohsen Shahhosseini, Rafael A. Martinez-Feria, Guiping Hu +1
q-bio.OTcs.LGstat.AParXiv:1908.06746v52019
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
Li-Wei Chen, Alexander Rudnicky
eess.AScs.CLcs.LGarXiv:2110.06309v32021
Overfitting Mechanism and Avoidance in Deep Neural Networks
Shaeke Salman, Xiuwen Liu
cs.LGcs.NEstat.MLarXiv:1901.06566v12019
Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset
Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Aboul Ella Hassanien +1
eess.IVcs.CVcs.LGarXiv:2004.01184v12020
NVIDIA FLARE: Federated Learning from Simulation to Real-World
Holger R. Roth, Yan Cheng, Yuhong Wen +20
cs.LGcs.AIcs.CVarXiv:2210.13291v32022
Astra: A Multi-Agent System for GPU Kernel Performance Optimization
Anjiang Wei, Tianran Sun, Yogesh Seenichamy +5
cs.DCcs.AIcs.CLarXiv:2509.07506v22025
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
Zhibin Lan, Liqiang Niu, Fandong Meng +2
cs.CVcs.AIcs.CLarXiv:2503.04812v22025
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Felipe Petroski Such, Aditya Rawal, Joel Lehman +2
cs.LGstat.MLarXiv:1912.07768v12019
Unsupervised Learning by Competing Hidden Units
Dmitry Krotov, John Hopfield
cs.LGcs.CVcs.NEarXiv:1806.10181v22018
Are Reasoning Models More Prone to Hallucination?
Zijun Yao, Yantao Liu, Yanxu Chen +5
cs.CLcs.LGarXiv:2505.23646v12025
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Yu-An Chung, James Glass
eess.AScs.CLcs.LGarXiv:1910.12607v22019
Blink: Fast and Generic Collectives for Distributed ML
Guanhua Wang, Shivaram Venkataraman, Amar Phanishayee +3
cs.DCcs.LGarXiv:1910.04940v12019
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
Jiarui Jin, Haoyu Wang, Hongyan Li +3
cs.LGcs.AIarXiv:2502.10707v12025
Flow Navigation by Smart Microswimmers via Reinforcement Learning
Simona Colabrese, Kristian Gustavsson, Antonio Celani +1
physics.flu-dyncond-mat.stat-mechcs.LGarXiv:1701.08848v32017
Insights into LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim, Somshubra Majumdar, Houshang Darabi
cs.LGstat.MLarXiv:1902.10756v32019
A General-Purpose Molecular Foundation Model Transfers Across Diverse Olfactory Tasks
Yikun Han, Yi Wang, Neil Mankodi +2
cs.LGarXiv:2608.25893v12026
Feature-Weighted Linear Stacking
Joseph Sill, Gabor Takacs, Lester Mackey +1
cs.LGcs.AIarXiv:0911.0460v22009
Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa +2
cs.NIcs.CRcs.LGarXiv:2108.12722v32021
Current Pathology Foundation Models are unrobust to Medical Center Differences
Edwin D. de Jong, Eric Marcus, Jonas Teuwen
cs.LGcs.AIarXiv:2501.18055v22025
WorldEval: World Model as Real-World Robot Policies Evaluator
Yaxuan Li, Yichen Zhu, Junjie Wen +2
cs.ROcs.CVcs.LGarXiv:2505.19017v12025
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning
Jane Pan, Tianyu Gao, Howard Chen +1
cs.CLcs.LGarXiv:2305.09731v12023
E-Branchformer: Branchformer with Enhanced merging for speech recognition
Kwangyoun Kim, Felix Wu, Yifan Peng +4
eess.AScs.LGarXiv:2210.00077v22022
Integer Discrete Flows and Lossless Compression
Emiel Hoogeboom, Jorn W. T. Peters, Rianne van den Berg +1
cs.LGcs.CVstat.MLarXiv:1905.07376v42019
Blocks and Fuel: Frameworks for deep learning
Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin +4
cs.LGcs.NEstat.MLarXiv:1506.00619v12015
Scalable Clinical Data Infrastructure and Comparative ML Evaluation for Hospitalisation Risk Prediction in Elderly Patients with Multiple Long-Term Conditions using CPRD
Asra Aslam, Volodymyr Chapman, Maurice M. O'Connell +9
cs.LGcs.AIarXiv:2608.29419v12026
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng +1
cs.CLcs.AIcs.LGarXiv:2310.06694v22023
EvoFlint: An Evolutionary Atlas of Multi-Turn LLM Vulnerabilities
Feitong Qiao, Liren Peng, Shiming Ren +7
cs.CLcs.AIcs.CRarXiv:2609.00487v12026
TRUST: Threshold-Recalibrated Uncertainty-Safe Training for Certified Dismissal in Breast Cancer Screening
Parham Hajishafiezahramini, Matthew Hamilton, Edward Kendall +2
cs.CVcs.LGarXiv:2609.00300v12026
Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning
Juntao Ren, Priya Sundaresan, Dorsa Sadigh +2
cs.ROcs.AIcs.LGarXiv:2501.06994v22025
Artificial Intelligence Should Genuinely Support Clinical Reasoning and Decision Making To Bridge the Translational Gap
Kacper Sokol, James Fackler, Julia E Vogt
cs.HCcs.AIcs.CYarXiv:2506.05030v12025
Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget
Jaewoo Lee, Daniel Kifer
cs.LGstat.MLarXiv:1808.09501v12018
Gotta Learn Fast: A New Benchmark for Generalization in RL
Alex Nichol, Vicki Pfau, Christopher Hesse +2
cs.LGstat.MLarXiv:1804.03720v22018
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
Theophile Gervet, Zhou Xian, Nikolaos Gkanatsios +1
cs.ROcs.AIcs.LGarXiv:2306.17817v22023

Machine Learning

FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

Deep Reinforcement Learning for Autonomous Driving

Deep learning at the shallow end: Malware classification for non-domain experts

A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games

OCTID: Optical Coherence Tomography Image Database

UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation

Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions

An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud Detection

EDGE: Engine for Deterministic Graph Evaluation through Conversation Simulation from Graph Structured DSL Configuration

End-to-End Deep Reinforcement Learning for Lane Keeping Assist

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Continual Learning via Neural Pruning

E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction

Explanations, Prompts, and Formalizations: Arguments for New Norms in LLM-Enabled Mathematical Research

Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis

Do Massively Pretrained Language Models Make Better Storytellers?

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation

Mutation-Guided LLM-based Test Generation at Meta

Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models

On the Instance Hardness as a Decision Criterion in TinyML Systems

Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems

MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents

LEMUR 2: Unlocking Neural Network Diversity for AI

LSHTC: A Benchmark for Large-Scale Text Classification

Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models

Physiological Information Reliability: Cross-Layer Adaptive Resource Allocation for Cardiovascular Sensing

Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms

Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition

Overfitting Mechanism and Avoidance in Deep Neural Networks

Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset

NVIDIA FLARE: Federated Learning from Simulation to Real-World

Astra: A Multi-Agent System for GPU Kernel Performance Optimization

LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

Unsupervised Learning by Competing Hidden Units

Are Reasoning Models More Prone to Hallucination?

Generative Pre-Training for Speech with Autoregressive Predictive Coding

Blink: Fast and Generic Collectives for Distributed ML

Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

Flow Navigation by Smart Microswimmers via Reinforcement Learning

Insights into LSTM Fully Convolutional Networks for Time Series Classification

A General-Purpose Molecular Foundation Model Transfers Across Diverse Olfactory Tasks

Feature-Weighted Linear Stacking

Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks

Current Pathology Foundation Models are unrobust to Medical Center Differences

WorldEval: World Model as Real-World Robot Policies Evaluator

What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning

E-Branchformer: Branchformer with Enhanced merging for speech recognition

Integer Discrete Flows and Lossless Compression

Blocks and Fuel: Frameworks for deep learning

Scalable Clinical Data Infrastructure and Comparative ML Evaluation for Hospitalisation Risk Prediction in Elderly Patients with Multiple Long-Term Conditions using CPRD

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

EvoFlint: An Evolutionary Atlas of Multi-Turn LLM Vulnerabilities

TRUST: Threshold-Recalibrated Uncertainty-Safe Training for Certified Dismissal in Breast Cancer Screening

Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning

Artificial Intelligence Should Genuinely Support Clinical Reasoning and Decision Making To Bridge the Translational Gap

Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget

Gotta Learn Fast: A New Benchmark for Generalization in RL

Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation