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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111,001 to 111,060 of 119,138

MI6: Secure Enclaves in a Speculative Out-of-Order Processor
Thomas Bourgeat, Ilia Lebedev, Andrew Wright +3
cs.CRcs.OSarXiv:1812.09822v52018
Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits
Maxwell Henderson, Samriddhi Shakya, Shashindra Pradhan +1
quant-phcs.ETarXiv:1904.04767v12019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden, Sebastian Mayer, Katharina Beckh +11
stat.MLcs.AIcs.LGarXiv:1903.12394v32019
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
Davy Neven, Bert De Brabandere, Marc Proesmans +1
cs.CVarXiv:1906.11109v22019
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
Kshitij Dwivedi, Gemma Roig
cs.CVcs.AIcs.LGarXiv:1904.11740v12019
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Syed Waqas Zamir, Aditya Arora, Akshita Gupta +7
cs.CVcs.LGarXiv:1905.12886v22019
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
Hu Xu, Bing Liu, Lei Shu +1
cs.CLarXiv:1904.02232v22019
Single Image Deraining: A Comprehensive Benchmark Analysis
Siyuan Li, Iago Breno Araujo, Wenqi Ren +7
cs.CVarXiv:1903.08558v12019
Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition
Xu Xiang, Shuai Wang, Houjun Huang +2
eess.AScs.CLcs.SDarXiv:1906.07317v12019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari S. Morcos, Haonan Yu, Michela Paganini +1
stat.MLcs.LGcs.NEarXiv:1906.02773v22019
Fast Human Pose Estimation
Feng Zhang, Xiatian Zhu, Mao Ye
cs.CVarXiv:1811.05419v22018
Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models
Wei Yang, Kuang Lu, Peilin Yang +1
cs.IRarXiv:1904.09171v22019
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing
Siddharth Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
cs.LGcs.HCeess.SParXiv:1905.07039v12019
CornerNet-Lite: Efficient Keypoint Based Object Detection
Hei Law, Yun Teng, Olga Russakovsky +1
cs.CVarXiv:1904.08900v22019
Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers
Julián Tachella, Yoann Altmann, Nicolas Mellado +5
eess.IVphysics.opticsarXiv:1905.06700v22019
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective
Yuji Roh, Geon Heo, Steven Euijong Whang
cs.LGstat.MLarXiv:1811.03402v22018
One-Class Convolutional Neural Network
Poojan Oza, Vishal M. Patel
cs.CVarXiv:1901.08688v12019
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang, Songwei Ge, Eric P. Xing +1
cs.CVarXiv:1905.13549v22019
The Ethics of AI Ethics -- An Evaluation of Guidelines
Thilo Hagendorff
cs.AIcs.CYcs.LGarXiv:1903.03425v22019
GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
Qi Wang, Zhenghang Yuan, Qian Du +1
cs.CVeess.IVarXiv:1905.01662v12019
Fast Underwater Image Enhancement for Improved Visual Perception
Md Jahidul Islam, Youya Xia, Junaed Sattar
cs.CVarXiv:1903.09766v32019
3D human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier +1
cs.CVarXiv:1811.11742v22018
Omni-Scale Feature Learning for Person Re-Identification
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro +1
cs.CVarXiv:1905.00953v62019
Object Detection in 20 Years: A Survey
Zhengxia Zou, Keyan Chen, Zhenwei Shi +2
cs.CVarXiv:1905.05055v32019
MeshNet: Mesh Neural Network for 3D Shape Representation
Yutong Feng, Yifan Feng, Haoxuan You +2
cs.CVarXiv:1811.11424v12018
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions
T. Bouwmans, B. Garcia-Garcia
cs.CVarXiv:1901.03577v12019
DPSNet: End-to-end Deep Plane Sweep Stereo
Sunghoon Im, Hae-Gon Jeon, Stephen Lin +1
cs.CVcs.ROarXiv:1905.00538v12019
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments
Girish Varma, Anbumani Subramanian, Anoop Namboodiri +2
cs.CVcs.ROarXiv:1811.10200v12018
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan +5
cs.ROcs.AIcs.LGarXiv:1810.10191v22018
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

Every paper with a summary

MI6: Secure Enclaves in a Speculative Out-of-Order Processor

Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits

Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning

iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Single Image Deraining: A Comprehensive Benchmark Analysis

Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers

Fast Human Pose Estimation

Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models

Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing

CornerNet-Lite: Efficient Keypoint Based Object Detection

Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers

A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective

One-Class Convolutional Neural Network

Learning Robust Global Representations by Penalizing Local Predictive Power

The Ethics of AI Ethics -- An Evaluation of Guidelines

GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection

Fast Underwater Image Enhancement for Improved Visual Perception

3D human pose estimation in video with temporal convolutions and semi-supervised training

Omni-Scale Feature Learning for Person Re-Identification

Object Detection in 20 Years: A Survey

MeshNet: Mesh Neural Network for 3D Shape Representation

Background Subtraction in Real Applications: Challenges, Current Models and Future Directions

DPSNet: End-to-end Deep Plane Sweep Stereo

IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks

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