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.

Search paper metadata (including unsummarized papers)

111,061 to 111,120 of 119,169

Action-Agnostic Human Pose Forecasting
Hsu-kuang Chiu, Ehsan Adeli, Borui Wang +2
cs.CVarXiv:1810.09676v12018
Dynamically Fused Graph Network for Multi-hop Reasoning
Yunxuan Xiao, Yanru Qu, Lin Qiu +4
cs.CLarXiv:1905.06933v32019
CGNet: A Light-weight Context Guided Network for Semantic Segmentation
Tianyi Wu, Sheng Tang, Rui Zhang +1
cs.CVarXiv:1811.08201v22018
Mobile Edge Intelligence and Computing for the Internet of Vehicles
Jun Zhang, Khaled B. Letaief
cs.NIeess.SParXiv:1906.00400v12019
Dataset search: a survey
Adriane Chapman, Elena Simperl, Laura Koesten +4
cs.DBarXiv:1901.00735v12019
Towards 6G Networks: Use Cases and Technologies
Marco Giordani, Michele Polese, Marco Mezzavilla +2
cs.NIarXiv:1903.12216v22019
Basic Performance Measurements of the Intel Optane DC Persistent Memory Module
Joseph Izraelevitz, Jian Yang, Lu Zhang +9
cs.DCcs.PFarXiv:1903.05714v32019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho, Eric Liang, Ion Stoica +2
cs.CVcs.LGstat.MLarXiv:1905.05393v12019
All-In-One Underwater Image Enhancement using Domain-Adversarial Learning
Pritish Uplavikar, Zhenyu Wu, Zhangyang Wang
cs.CVarXiv:1905.13342v12019
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset
Tianyu Wang, Xin Yang, Ke Xu +3
cs.CVarXiv:1904.01538v22019
How to Fine-Tune BERT for Text Classification?
Chi Sun, Xipeng Qiu, Yige Xu +1
cs.CLarXiv:1905.05583v32019
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
Domen Tabernik, Danijel Skočaj
cs.CVarXiv:1904.00649v12019
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Jun Liu, Amir Shahroudy, Mauricio Perez +3
cs.CVarXiv:1905.04757v22019
Adaptive Power System Emergency Control using Deep Reinforcement Learning
Qiuhua Huang, Renke Huang, Weituo Hao +3
cs.LGeess.SYstat.MLarXiv:1903.03712v22019
Learning from Synthetic Data for Crowd Counting in the Wild
Qi Wang, Junyu Gao, Wei Lin +1
cs.CVarXiv:1903.03303v12019
REPAIR: Removing Representation Bias by Dataset Resampling
Yi Li, Nuno Vasconcelos
cs.CVarXiv:1904.07911v12019
Shining Light On Shadow Stacks
Nathan Burow, Xinping Zhang, Mathias Payer
cs.CRarXiv:1811.03165v22018
Machine learning modeling of superconducting critical temperature
Valentin Stanev, Corey Oses, A. Gilad Kusne +4
cond-mat.supr-concond-mat.str-elstat.MLarXiv:1709.02727v22017
Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar, Aayush Prakash, Ming-Yu Liu +6
cs.CVcs.AIcs.GRarXiv:1904.11621v12019
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems
Hadi Abdullah, Washington Garcia, Christian Peeters +3
cs.CRcs.LGcs.SDarXiv:1904.05734v12019
Insightful classification of crystal structures using deep learning
A. Ziletti, D. Kumar, M. Scheffler +1
cond-mat.mtrl-scicond-mat.dis-nnarXiv:1709.02298v22017
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
Wei Zhao, Liang Wang, Kewei Shen +2
cs.CLarXiv:1903.00138v32019
Intrinsic dimension of data representations in deep neural networks
Alessio Ansuini, Alessandro Laio, Jakob H. Macke +1
cs.LGstat.MLarXiv:1905.12784v22019
ERNIE: Enhanced Representation through Knowledge Integration
Yu Sun, Shuohuan Wang, Yukun Li +7
cs.CLarXiv:1904.09223v12019
Fooling automated surveillance cameras: adversarial patches to attack person detection
Simen Thys, Wiebe Van Ranst, Toon Goedemé
cs.CVarXiv:1904.08653v12019
SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
Elisabetta Fedele, Francis Engelmann, Ian Huang +3
cs.CVcs.AIarXiv:2512.05343v22025
High-Resolution Representations for Labeling Pixels and Regions
Ke Sun, Yang Zhao, Borui Jiang +7
cs.CVarXiv:1904.04514v12019
Publicly Available Clinical BERT Embeddings
Emily Alsentzer, John R. Murphy, Willie Boag +4
cs.CLarXiv:1904.03323v32019
Data augmentation using learned transformations for one-shot medical image segmentation
Amy Zhao, Guha Balakrishnan, Frédo Durand +2
cs.CVarXiv:1902.09383v22019
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
David Tellez, Geert Litjens, Peter Bandi +4
cs.CVarXiv:1902.06543v22019
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen, Xiu-Shen Wei, Peng Wang +1
cs.CVcs.LGarXiv:1904.03582v12019
How to train your MAML
Antreas Antoniou, Harrison Edwards, Amos Storkey
cs.LGstat.MLarXiv:1810.09502v32018
75 Languages, 1 Model: Parsing Universal Dependencies Universally
Dan Kondratyuk, Milan Straka
cs.CLcs.LGarXiv:1904.02099v32019
Few-shot classification in Named Entity Recognition Task
Alexander Fritzler, Varvara Logacheva, Maksim Kretov
cs.CLcs.LGstat.MLarXiv:1812.06158v12018
Strong-Weak Distribution Alignment for Adaptive Object Detection
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada +1
cs.CVarXiv:1812.04798v32018
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Ning Xu, Linjie Yang, Yuchen Fan +4
cs.CVcs.AIarXiv:1809.03327v12018
Summaries:한국어
Adversarial camera stickers: A physical camera-based attack on deep learning systems
Juncheng Li, Frank R. Schmidt, J. Zico Kolter
cs.CVcs.CRcs.LGarXiv:1904.00759v42019
GFF: Gated Fully Fusion for Semantic Segmentation
Xiangtai Li, Houlong Zhao, Lei Han +2
cs.CVarXiv:1904.01803v22019
Structural Scaffolds for Citation Intent Classification in Scientific Publications
Arman Cohan, Waleed Ammar, Madeleine van Zuylen +1
cs.CLarXiv:1904.01608v22019
Detecting the Unexpected via Image Resynthesis
Krzysztof Lis, Krishna Nakka, Pascal Fua +1
cs.CVarXiv:1904.07595v22019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Raphael Tang, Yao Lu, Linqing Liu +3
cs.CLcs.LGarXiv:1903.12136v12019
Active Domain Randomization
Bhairav Mehta, Manfred Diaz, Florian Golemo +2
cs.LGcs.AIcs.ROarXiv:1904.04762v22019
Libra R-CNN: Towards Balanced Learning for Object Detection
Jiangmiao Pang, Kai Chen, Jianping Shi +3
cs.CVarXiv:1904.02701v12019
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving
Xinzhu Ma, Zhihui Wang, Haojie Li +3
cs.CVarXiv:1903.11444v42019
LRS3-TED: a large-scale dataset for visual speech recognition
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman
cs.CVarXiv:1809.00496v22018
Modeling Empathy and Distress in Reaction to News Stories
Sven Buechel, Anneke Buffone, Barry Slaff +2
cs.CLarXiv:1808.10399v12018
Temporal phase unwrapping using deep learning
Wei Yin, Qian Chen, Shijie Feng +5
eess.IVarXiv:1903.09836v22019
Mask Scoring R-CNN
Zhaojin Huang, Lichao Huang, Yongchao Gong +2
cs.CVarXiv:1903.00241v12019
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
Xin Wang, Jiawei Wu, Junkun Chen +3
cs.CVcs.CLcs.LGarXiv:1904.03493v32019
PFLD: A Practical Facial Landmark Detector
Xiaojie Guo, Siyuan Li, Jinke Yu +5
cs.CVarXiv:1902.10859v22019
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
Minfeng Zhu, Pingbo Pan, Wei Chen +1
cs.CVarXiv:1904.01310v12019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Wenbin Li, Lei Wang, Jinglin Xu +3
cs.CVarXiv:1903.12290v22019
Automatic diagnosis of the 12-lead ECG using a deep neural network
Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão +9
cs.LGeess.SPstat.MLarXiv:1904.01949v22019
Solar Energy Conversion and the Shockley-Queisser Model, a Guide for the Perplexed
Jean-Francois Guillemoles, Thomas Kirchartz, David Cahen +1
physics.app-phcond-mat.mtrl-sciarXiv:1903.11954v12019
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
Jiwoong Choi, Dayoung Chun, Hyun Kim +1
cs.CVarXiv:1904.04620v22019
Summaries:한국어
Target-Aware Deep Tracking
Xin Li, Chao Ma, Baoyuan Wu +2
cs.CVarXiv:1904.01772v12019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim +4
cs.CLarXiv:1901.08746v42019
Semantic Neural Machine Translation using AMR
Linfeng Song, Daniel Gildea, Yue Zhang +2
cs.CLcs.AIarXiv:1902.07282v12019
Real-time Distracted Driver Posture Classification
Yehya Abouelnaga, Hesham M. Eraqi, Mohamed N. Moustafa
cs.CVarXiv:1706.09498v32017
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
Yuying Ge, Ruimao Zhang, Lingyun Wu +3
cs.CVarXiv:1901.07973v12019

Every paper with a summary

Action-Agnostic Human Pose Forecasting

Dynamically Fused Graph Network for Multi-hop Reasoning

CGNet: A Light-weight Context Guided Network for Semantic Segmentation

Mobile Edge Intelligence and Computing for the Internet of Vehicles

Dataset search: a survey

Towards 6G Networks: Use Cases and Technologies

Basic Performance Measurements of the Intel Optane DC Persistent Memory Module

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules

All-In-One Underwater Image Enhancement using Domain-Adversarial Learning

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

How to Fine-Tune BERT for Text Classification?

Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

Adaptive Power System Emergency Control using Deep Reinforcement Learning

Learning from Synthetic Data for Crowd Counting in the Wild

REPAIR: Removing Representation Bias by Dataset Resampling

Shining Light On Shadow Stacks

Machine learning modeling of superconducting critical temperature

Meta-Sim: Learning to Generate Synthetic Datasets

Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems

Insightful classification of crystal structures using deep learning

Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

Intrinsic dimension of data representations in deep neural networks

ERNIE: Enhanced Representation through Knowledge Integration

Fooling automated surveillance cameras: adversarial patches to attack person detection

SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling

High-Resolution Representations for Labeling Pixels and Regions

Publicly Available Clinical BERT Embeddings

Data augmentation using learned transformations for one-shot medical image segmentation

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

Multi-Label Image Recognition with Graph Convolutional Networks

How to train your MAML

75 Languages, 1 Model: Parsing Universal Dependencies Universally

Few-shot classification in Named Entity Recognition Task

Strong-Weak Distribution Alignment for Adaptive Object Detection

YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Adversarial camera stickers: A physical camera-based attack on deep learning systems

GFF: Gated Fully Fusion for Semantic Segmentation

Structural Scaffolds for Citation Intent Classification in Scientific Publications

Detecting the Unexpected via Image Resynthesis

Distilling Task-Specific Knowledge from BERT into Simple Neural Networks

Active Domain Randomization

Libra R-CNN: Towards Balanced Learning for Object Detection

Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving

LRS3-TED: a large-scale dataset for visual speech recognition

Modeling Empathy and Distress in Reaction to News Stories

Temporal phase unwrapping using deep learning

Mask Scoring R-CNN

VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

PFLD: A Practical Facial Landmark Detector

DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis

Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning

Automatic diagnosis of the 12-lead ECG using a deep neural network

Solar Energy Conversion and the Shockley-Queisser Model, a Guide for the Perplexed

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving

Target-Aware Deep Tracking

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Semantic Neural Machine Translation using AMR

Real-time Distracted Driver Posture Classification

DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images