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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32,281 to 32,340 of 32,672

Rethinking Transformer-based Set Prediction for Object Detection
Zhiqing Sun, Shengcao Cao, Yiming Yang +1
cs.CVcs.LGarXiv:2011.10881v22020
An approach to reachability analysis for feed-forward ReLU neural networks
Alessio Lomuscio, Lalit Maganti
cs.AIcs.LGcs.LOarXiv:1706.07351v12017
Neural Topological SLAM for Visual Navigation
Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta +1
cs.CVcs.AIcs.LGarXiv:2005.12256v22020
FoldPipe: Bounded Remote Streaming of Native Molecular Shards with Asynchronous Prefetch
Dhiren Mukesh Khatri
cs.PFcs.LGarXiv:2608.27029v12026
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott +2
cs.CVcs.AIcs.LGarXiv:2003.00827v22020
Pruning Binarized Neural Networks: A Dedicated Framework and Globally Weighted Algorithms
Roan Rubiales, Jean Pierre David
cs.LGarXiv:2608.26233v12026
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
Chuang Gan, Jeremy Schwartz, Seth Alter +21
cs.CVcs.GRcs.LGarXiv:2007.04954v22020
On the Indistinguishability of Human v/s AI Generated Text
Jaee Ponde, Aritra Das, Mihir More +1
cs.LGarXiv:2608.26797v12026
A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications
Navid Zobeiry, Keith D. Humfeld
cs.LGarXiv:2010.02011v12020
Reinforcement Learning-Based Control of CAV Platoon Joining Maneuvers in Mixed Traffic
Biao Yin, Abderrahmane Kasmi, Nadir Farhi
cs.LGcs.AImath.OCarXiv:2608.26860v12026
The Latent Diagnostic Taxonomy: A Framework for Constructing Classifiers and Diagnosing Their Decisions, Applied to Prompt Injection Detection
Jaturong Kongmanee, Smile Thanapattheerakul
cs.LGcs.AIcs.CLarXiv:2608.26423v12026
Survey of Personalization Techniques for Federated Learning
Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant
cs.LGstat.MLarXiv:2003.08673v12020
Beyond Capability Benchmarks: Learning Operational Fingerprints of LLM Cloud Services from Production Incident Metadata
Meiwei Zhang, Eduardo Miranda, Bruce Baynes +4
cs.LGarXiv:2608.26332v12026
Improving Deep Learning using Generic Data Augmentation
Luke Taylor, Geoff Nitschke
cs.LGstat.MLarXiv:1708.06020v12017
A Survey on Hallucination in Large Vision-Language Models
Hanchao Liu, Wenyuan Xue, Yifei Chen +6
cs.CVcs.CLcs.LGarXiv:2402.00253v22024
From Errors to Proofs: Minimal-Core-Guided Repair for Neuro-Symbolic Constraint Solving
Dipankar Sarkar
cs.AIcs.CLcs.LGarXiv:2608.14771v12026
Class-Incremental Learning: A Survey
Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi +3
cs.CVcs.LGarXiv:2302.03648v22023
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding, Ankur Mallick, Chi Wang +5
cs.LGcs.AIcs.CLarXiv:2404.14618v12024
Deep Cosine Metric Learning for Person Re-Identification
Nicolai Wojke, Alex Bewley
cs.CVcs.LGarXiv:1812.00442v12018
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
John Guibas, Morteza Mardani, Zongyi Li +3
cs.CVcs.LGarXiv:2111.13587v22021
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Derya Soydaner
cs.LGarXiv:2204.13154v12022
Sparse Sinkhorn Attention
Yi Tay, Dara Bahri, Liu Yang +2
cs.LGcs.CLarXiv:2002.11296v12020
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich, Lukas Lange, Heike Adel +2
cs.CLcs.LGarXiv:2010.12309v32020
Recurrence is required to capture the representational dynamics of the human visual system
Tim C Kietzmann, Courtney J Spoerer, Lynn Sörensen +3
q-bio.NCcs.CVcs.LGarXiv:1903.05946v22019
Molecular generative model based on conditional variational autoencoder for de novo molecular design
Jaechang Lim, Seongok Ryu, Jin Woo Kim +1
cs.LGstat.MLarXiv:1806.05805v12018
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
Zeming Chen, Alejandro Hernández Cano, Angelika Romanou +17
cs.CLcs.AIcs.LGarXiv:2311.16079v12023
Real-time virtual circuits for plasma shape control via neural network emulators: integration and testing in the MAST-U PCS
Matthew J. Marshall, Edward Jones, Graham J. McArdle +10
physics.plasm-phcs.LGarXiv:2608.26216v12026
FedCMAPSS: A Benchmark for Federated Learning in Remaining Useful Life Estimation
Amelia Sorrenti, Matteo Pennisi, Concetto Spampinato +1
cs.LGarXiv:2608.26433v12026
A Survey on Anomaly Detection for Technical Systems using LSTM Networks
Benjamin Lindemann, Benjamin Maschler, Nada Sahlab +1
cs.LGcs.AIstat.MLarXiv:2105.13810v12021
Scalable and Generalizable Social Bot Detection through Data Selection
Kai-Cheng Yang, Onur Varol, Pik-Mai Hui +1
cs.CYcs.LGcs.SIarXiv:1911.09179v12019
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace
Dimitrios Kollias, Stefanos Zafeiriou
cs.CVcs.HCcs.LGarXiv:1910.04855v12019
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
Wenhao Li, Hong Liu, Hao Tang +2
cs.CVcs.AIcs.LGarXiv:2111.12707v42021
3D Hand Shape and Pose from Images in the Wild
Adnane Boukhayma, Rodrigo de Bem, Philip H. S. Torr
cs.CVcs.AIcs.LGarXiv:1902.03451v12019
Aequitas: A Bias and Fairness Audit Toolkit
Pedro Saleiro, Benedict Kuester, Loren Hinkson +5
cs.LGcs.AIcs.CYarXiv:1811.05577v22018
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter
Martin Müller, Marcel Salathé, Per E Kummervold
cs.CLcs.LGcs.SIarXiv:2005.07503v12020
Generative Adversarial Perturbations
Omid Poursaeed, Isay Katsman, Bicheng Gao +1
cs.CVcs.CRcs.LGarXiv:1712.02328v32017
NeMo: a toolkit for building AI applications using Neural Modules
Oleksii Kuchaiev, Jason Li, Huyen Nguyen +11
cs.LGcs.CLcs.SDarXiv:1909.09577v12019
Exponentially Weighted Moving Average Charts for Detecting Concept Drift
Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis +1
stat.MLcs.LGstat.AParXiv:1212.6018v12012
Neural Lyapunov Control
Ya-Chien Chang, Nima Roohi, Sicun Gao
cs.LGcs.NEcs.ROarXiv:2005.00611v42020
Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study
Kevin Zhu, Ryan Zhang, Baraa Abed +18
cs.AIcs.LGarXiv:2608.27421v12026
Interpretability of machine learning based prediction models in healthcare
Gregor Stiglic, Primoz Kocbek, Nino Fijacko +3
cs.LGstat.MLarXiv:2002.08596v22020
Generative Artificial Intelligence: A Systematic Review and Applications
Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar +1
cs.LGcs.AIcs.CLarXiv:2405.11029v12024
Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms
Halgurd S. Maghdid, Aras T. Asaad, Kayhan Zrar Ghafoor +2
eess.IVcs.CVcs.LGarXiv:2004.00038v12020
When Radiology Report Generation Meets Knowledge Graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu +3
cs.CVcs.AIcs.LGarXiv:2002.08277v12020
Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records
Li Huang, Dianbo Liu
cs.LGstat.MLarXiv:1903.09296v12019
TensorLy: Tensor Learning in Python
Jean Kossaifi, Yannis Panagakis, Anima Anandkumar +1
cs.LGarXiv:1610.09555v22016
Active Diffusion-Based Inference for Ill-Posed Inverse Problems under Incomplete Priors
Jitao Xu, Nobuo Sato, Yaohang Li
stat.MLcs.AIcs.LGarXiv:2608.27080v12026
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions
Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi +5
cs.CRcs.LGarXiv:2106.09527v12021
An Unsupervised Autoregressive Model for Speech Representation Learning
Yu-An Chung, Wei-Ning Hsu, Hao Tang +1
cs.CLcs.LGcs.SDarXiv:1904.03240v22019
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran, Mathilde Caron, Ishan Misra +6
cs.LGcs.AIcs.CVarXiv:2204.07141v12022
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard, Jakob N. Foerster, Sarath Chandar +12
cs.LGcs.AIstat.MLarXiv:1902.00506v22019
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
Muhammad Usama, Junaid Qadir, Aunn Raza +5
cs.NIcs.LGarXiv:1709.06599v12017
Importance Scoring of Transformer Attention Heads in Learning Tabular Data
Ahmad Jad Allah, Kazi F. Akhter, Md. Kamrozzaman Bhuiyan +1
cs.LGarXiv:2608.27241v12026
Summaries:한국어
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
Oleg Platonov, Denis Kuznedelev, Michael Diskin +2
cs.LGarXiv:2302.11640v22023
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova, Aaron Roth
cs.LGcs.DScs.GTarXiv:1810.08810v12018
Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
Haşim Sak, Andrew Senior, Kanishka Rao +1
cs.CLcs.LGcs.NEarXiv:1507.06947v12015
Deep Learning of Vortex Induced Vibrations
Maziar Raissi, Zhicheng Wang, Michael S. Triantafyllou +1
physics.flu-dyncs.CEcs.LGarXiv:1808.08952v12018
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
Haoning Wu, Erli Zhang, Liang Liao +6
cs.CVcs.LGcs.MMarXiv:2211.04894v32022
Diverse Branch Block: Building a Convolution as an Inception-like Unit
Xiaohan Ding, Xiangyu Zhang, Jungong Han +1
cs.CVcs.AIcs.LGarXiv:2103.13425v22021
Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch +1
cs.CVcs.LGarXiv:1810.08468v12018

Machine Learning

Rethinking Transformer-based Set Prediction for Object Detection

An approach to reachability analysis for feed-forward ReLU neural networks

Neural Topological SLAM for Visual Navigation

FoldPipe: Bounded Remote Streaming of Native Molecular Shards with Asynchronous Prefetch

CheXclusion: Fairness gaps in deep chest X-ray classifiers

Pruning Binarized Neural Networks: A Dedicated Framework and Globally Weighted Algorithms

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

On the Indistinguishability of Human v/s AI Generated Text

A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications

Reinforcement Learning-Based Control of CAV Platoon Joining Maneuvers in Mixed Traffic

The Latent Diagnostic Taxonomy: A Framework for Constructing Classifiers and Diagnosing Their Decisions, Applied to Prompt Injection Detection

Survey of Personalization Techniques for Federated Learning

Beyond Capability Benchmarks: Learning Operational Fingerprints of LLM Cloud Services from Production Incident Metadata

Improving Deep Learning using Generic Data Augmentation

A Survey on Hallucination in Large Vision-Language Models

From Errors to Proofs: Minimal-Core-Guided Repair for Neuro-Symbolic Constraint Solving

Class-Incremental Learning: A Survey

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Deep Cosine Metric Learning for Person Re-Identification

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers

Attention Mechanism in Neural Networks: Where it Comes and Where it Goes

Sparse Sinkhorn Attention

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Recurrence is required to capture the representational dynamics of the human visual system

Molecular generative model based on conditional variational autoencoder for de novo molecular design

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Real-time virtual circuits for plasma shape control via neural network emulators: integration and testing in the MAST-U PCS

FedCMAPSS: A Benchmark for Federated Learning in Remaining Useful Life Estimation

A Survey on Anomaly Detection for Technical Systems using LSTM Networks

Scalable and Generalizable Social Bot Detection through Data Selection

Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

3D Hand Shape and Pose from Images in the Wild

Aequitas: A Bias and Fairness Audit Toolkit

COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter

Generative Adversarial Perturbations

NeMo: a toolkit for building AI applications using Neural Modules

Exponentially Weighted Moving Average Charts for Detecting Concept Drift

Neural Lyapunov Control

Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study

Interpretability of machine learning based prediction models in healthcare

Generative Artificial Intelligence: A Systematic Review and Applications

Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms

When Radiology Report Generation Meets Knowledge Graph

Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records

TensorLy: Tensor Learning in Python

Active Diffusion-Based Inference for Ill-Posed Inverse Problems under Incomplete Priors

Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions

An Unsupervised Autoregressive Model for Speech Representation Learning

Masked Siamese Networks for Label-Efficient Learning

The Hanabi Challenge: A New Frontier for AI Research

Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges

Importance Scoring of Transformer Attention Heads in Learning Tabular Data

A critical look at the evaluation of GNNs under heterophily: Are we really making progress?

The Frontiers of Fairness in Machine Learning

Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition

Deep Learning of Vortex Induced Vibrations

Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives

Diverse Branch Block: Building a Convolution as an Inception-like Unit

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks