Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. 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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37,441 to 37,500 of 61,286

Concept-Guided Exploration: Building Persistent, Actionable Scene Graphs
Noé Zapata, Gerardo Pérez, Alejandro Torrejón +2
cs.ROarXiv:2608.23650v12026
Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model
SII-GAIR, Sand. ai, : +43
cs.CVarXiv:2603.21986v12026
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Yanwei Li, Yuechen Zhang, Chengyao Wang +5
cs.CVcs.AIcs.CLarXiv:2403.18814v12024
Segment Anything in Medical Images
Jun Ma, Yuting He, Feifei Li +3
eess.IVcs.CVarXiv:2304.12306v32023
Quantum circuits with many photons on a programmable nanophotonic chip
J. M. Arrazola, V. Bergholm, K. Brádler +36
quant-pharXiv:2103.02109v12021
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey
Syeda Manjia Tahsien, Hadis Karimipour, Petros Spachos
cs.CRcs.LGstat.MLarXiv:2004.05289v12020
Deep Learning on Image Denoising: An overview
Chunwei Tian, Lunke Fei, Wenxian Zheng +3
eess.IVcs.CVarXiv:1912.13171v42019
FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline
Leonie Henschel, Sailesh Conjeti, Santiago Estrada +3
eess.IVcs.CVq-bio.NCarXiv:1910.03866v42019
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
cs.CVcs.LGcs.MMarXiv:1908.03673v12019
PyProcar: A Python library for electronic structure pre/post-processing
Uthpala Herath, Pedram Tavadze, Xu He +4
cond-mat.mtrl-sciarXiv:1906.11387v12019
Probabilistic Forecasting with Temporal Convolutional Neural Network
Yitian Chen, Yanfei Kang, Yixiong Chen +1
stat.MLcs.LGarXiv:1906.04397v32019
End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network
Sajjad Abdoli, Patrick Cardinal, Alessandro Lameiras Koerich
cs.SDcs.LGstat.MLarXiv:1904.08990v12019
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
Foivos I. Diakogiannis, François Waldner, Peter Caccetta +1
cs.CVarXiv:1904.00592v32019
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification
S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari +1
cs.CVcs.LGcs.NEarXiv:1902.02771v32019
Self-Driving Cars: A Survey
Claudine Badue, Rânik Guidolini, Raphael Vivacqua Carneiro +10
cs.ROarXiv:1901.04407v22019
An overview of deep learning in medical imaging focusing on MRI
Alexander Selvikvåg Lundervold, Arvid Lundervold
cs.CVcs.LGstat.MLarXiv:1811.10052v22018
What's in a GitHub Star? Understanding Repository Starring Practices in a Social Coding Platform
Hudson Borges, Marco Tulio Valente
cs.SEarXiv:1811.07643v12018
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
Liu Yang, Dongkun Zhang, George Em Karniadakis
stat.MLcs.LGmath.AParXiv:1811.02033v12018
Distributed learning of deep neural network over multiple agents
Otkrist Gupta, Ramesh Raskar
cs.LGstat.MLarXiv:1810.06060v12018
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems
Dongkun Zhang, Lu Lu, Ling Guo +1
math.APphysics.comp-phstat.MLarXiv:1809.08327v12018
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever +3
cs.CVarXiv:1809.06130v22018
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning
Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo
cs.SIcs.AIcs.LGarXiv:1809.02657v22018
Handling Incomplete Heterogeneous Data using VAEs
Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani +1
cs.LGcs.AIstat.MLarXiv:1807.03653v42018
FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data
Peng Zhang, Jules White, Douglas C. Schmidt +2
cs.CYcs.CRarXiv:1807.03227v12018
Confounding variables can degrade generalization performance of radiological deep learning models
John R. Zech, Marcus A. Badgeley, Manway Liu +3
cs.CVcs.LGstat.MLarXiv:1807.00431v22018
Deep learning in business analytics and operations research: Models, applications and managerial implications
Mathias Kraus, Stefan Feuerriegel, Asil Oztekin
cs.LGstat.MLarXiv:1806.10897v32018
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante +4
stat.MLcs.LGarXiv:1806.01738v12018
OFF-ApexNet on Micro-expression Recognition System
Sze-Teng Liong, Y. S. Gan, Wei-Chuen Yau +2
cs.CVcs.LGarXiv:1805.08699v12018
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data
Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa +2
stat.MLcs.LGstat.MEarXiv:1803.11266v12018
Machine learning for Internet of Things data analysis: A survey
Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain +3
cs.LGcs.CYcs.DCarXiv:1802.06305v12018
Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey
Javier Mata, Ignacio de Miguel, Ramó n J. Durá n +4
cs.AIcs.NIarXiv:1801.01704v22018
Robust Loss Functions under Label Noise for Deep Neural Networks
Aritra Ghosh, Himanshu Kumar, P. S. Sastry
stat.MLcs.LGarXiv:1712.09482v12017
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
cs.NEcs.CVarXiv:1711.08681v12017
Remote Sensing Image Fusion Based on Two-stream Fusion Network
Xiangyu Liu, Qingjie Liu, Yunhong Wang
cs.CVarXiv:1711.02549v32017
Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
Yu Zhao, Rennong Yang, Guillaume Chevalier +1
cs.CVcs.LGarXiv:1708.08989v22017
Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier -- A Review
V. B. Surya Prasath, Haneen Arafat Abu Alfeilat, Ahmad B. A. Hassanat +4
cs.LGcs.AIarXiv:1708.04321v32017
Impact of different time series aggregation methods on optimal energy system design
Leander Kotzur, Peter Markewitz, Martin Robinius +1
math.OCcs.CEarXiv:1708.00420v12017
The free energy principle for action and perception: A mathematical review
Christopher L. Buckley, Chang Sub Kim, Simon McGregor +1
q-bio.NCarXiv:1705.09156v12017
Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks
Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira
cs.CVarXiv:1705.05787v12017
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal, Emilio Ferrara
cs.SIcs.LGphysics.data-anarXiv:1705.02801v42017
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach
Xiao Yang, Roland Kwitt, Martin Styner +1
cs.CVarXiv:1703.10908v42017
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
Maziar Raissi, Paris Perdikaris, George Em Karniadakis
stat.MLmath.APmath.DSarXiv:1703.10230v12017
WannierTools: An open-source software package for novel topological materials
QuanSheng Wu, ShengNan Zhang, Hai-Feng Song +2
physics.comp-phcond-mat.mes-hallarXiv:1703.07789v22017
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning
Ronald Kemker, Carl Salvaggio, Christopher Kanan
cs.CVcs.AIarXiv:1703.06452v32017
Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images
Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor +5
cs.CVarXiv:1703.01550v22017
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective
Shixia Liu, Xiting Wang, Mengchen Liu +1
cs.LGstat.MLarXiv:1702.01226v12017
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning
Ahmed Salem, Apratim Bhattacharya, Michael Backes +2
cs.CRcs.LGstat.MLarXiv:1904.01067v22019
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J. Dolz, C. Desrosiers, I. Ben Ayed
cs.CVarXiv:1612.03925v22016
Random walks and diffusion on networks
Naoki Masuda, Mason A. Porter, Renaud Lambiotte
physics.soc-phcond-mat.dis-nncs.SIarXiv:1612.03281v32016
Superpixels: An Evaluation of the State-of-the-Art
David Stutz, Alexander Hermans, Bastian Leibe
cs.CVarXiv:1612.01601v32016
Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection
Dimitrios Marmanis, Konrad Schindler, Jan Dirk Wegner +3
cs.CVarXiv:1612.01337v22016
Active learning of linearly parametrized interatomic potentials
Evgeny V. Podryabinkin, Alexander V. Shapeev
physics.comp-phcond-mat.mtrl-sciarXiv:1611.09346v32016
UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones
Daniela Micucci, Marco Mobilio, Paolo Napoletano
cs.CVarXiv:1611.07688v52016
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
Alexandre Abraham, Michael Milham, Adriana Di Martino +4
stat.MLq-bio.NCarXiv:1611.06066v12016
A Unified Gas Kinetic Scheme for Multi-scale and Multi-component Plasma Transport
Chang Liu, Kun Xu
physics.comp-phmath.NAphysics.plasm-pharXiv:1609.05291v22016
AutoInt: Automatic Integration for Fast Neural Volume Rendering
David B. Lindell, Julien N. P. Martel, Gordon Wetzstein
cs.CVcs.GRcs.LGarXiv:2012.01714v22020
Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset
Jing Lin, Ailing Zeng, Shunlin Lu +4
cs.CVarXiv:2307.00818v22023
Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy +2
cs.CVarXiv:1609.00866v22016
Blockchain in internet of things: Challenges and Solutions
Ali Dorri, Salil S. Kanhere, Raja Jurdak
cs.CRcs.CYarXiv:1608.05187v12016
The impact of generative artificial intelligence on socioeconomic inequalities and policy making
Valerio Capraro, Austin Lentsch, Daron Acemoglu +28
cs.CYarXiv:2401.05377v22023

Every paper with a summary

Concept-Guided Exploration: Building Persistent, Actionable Scene Graphs

Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Segment Anything in Medical Images

Quantum circuits with many photons on a programmable nanophotonic chip

Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey

Deep Learning on Image Denoising: An overview

FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline

Recent Advances in Deep Learning for Object Detection

PyProcar: A Python library for electronic structure pre/post-processing

Probabilistic Forecasting with Temporal Convolutional Neural Network

End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network

ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data

Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification

Self-Driving Cars: A Survey

An overview of deep learning in medical imaging focusing on MRI

What's in a GitHub Star? Understanding Repository Starring Practices in a Social Coding Platform

Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations

Distributed learning of deep neural network over multiple agents

Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems

A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration

dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning

Handling Incomplete Heterogeneous Data using VAEs

FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data

Confounding variables can degrade generalization performance of radiological deep learning models

Deep learning in business analytics and operations research: Models, applications and managerial implications

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

OFF-ApexNet on Micro-expression Recognition System

Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data

Machine learning for Internet of Things data analysis: A survey

Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey

Robust Loss Functions under Label Noise for Deep Neural Networks

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks

Remote Sensing Image Fusion Based on Two-stream Fusion Network

Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier -- A Review

Impact of different time series aggregation methods on optimal energy system design

The free energy principle for action and perception: A mathematical review

Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks

Graph Embedding Techniques, Applications, and Performance: A Survey

Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach

Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations

WannierTools: An open-source software package for novel topological materials

Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning

Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images

Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

Random walks and diffusion on networks

Superpixels: An Evaluation of the State-of-the-Art

Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection

Active learning of linearly parametrized interatomic potentials

UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

A Unified Gas Kinetic Scheme for Multi-scale and Multi-component Plasma Transport

AutoInt: Automatic Integration for Fast Neural Volume Rendering

Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset

Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes

Blockchain in internet of things: Challenges and Solutions

The impact of generative artificial intelligence on socioeconomic inequalities and policy making