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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15,241 to 15,300 of 117,625

One pixel attack for fooling deep neural networks
Jiawei Su, Danilo Vasconcellos Vargas, Sakurai Kouichi
cs.LGcs.CVstat.MLarXiv:1710.08864v72017
Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets
Kenji Enomoto, Ken Sakurada, Weimin Wang +4
cs.CVarXiv:1710.04835v12017
VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs
Rens W. van der Heijden, Thomas Lukaseder, Frank Kargl
cs.CRarXiv:1804.06701v12018
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
Bichen Wu, Alvin Wan, Xiangyu Yue +1
cs.CVarXiv:1710.07368v12017
Learning Differentially Private Recurrent Language Models
H. Brendan McMahan, Daniel Ramage, Kunal Talwar +1
cs.LGarXiv:1710.06963v32017
Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning
Hamza Harkous, Kassem Fawaz, Rémi Lebret +3
cs.CLcs.CRcs.HCarXiv:1802.02561v22018
SSH: Single Stage Headless Face Detector
Mahyar Najibi, Pouya Samangouei, Rama Chellappa +1
cs.CVarXiv:1708.03979v32017
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems
Mohammad Mozaffari, Walid Saad, Mehdi Bennis +2
cs.ITarXiv:1803.00680v22018
Joint Transmission Map Estimation and Dehazing using Deep Networks
He Zhang, Vishwanath Sindagi, Vishal M. Patel
cs.CVarXiv:1708.00581v22017
A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images
Yuxin Cui, Guiying Zhang, Zhonghao Liu +2
cs.CVarXiv:1803.02786v12018
Automated Website Fingerprinting through Deep Learning
Vera Rimmer, Davy Preuveneers, Marc Juarez +2
cs.CRcs.LGarXiv:1708.06376v22017
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
Jinzheng Cai, Le Lu, Yuanpu Xie +2
cs.CVarXiv:1707.04912v22017
Few-Example Object Detection with Model Communication
Xuanyi Dong, Liang Zheng, Fan Ma +2
cs.CVarXiv:1706.08249v82017
Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao +1
math.NAcs.CVcs.NAarXiv:1712.05870v32017
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
Mohammad Tariqul Islam, Md Abdul Aowal, Ahmed Tahseen Minhaz +1
cs.CVarXiv:1705.09850v32017
Smart Contract-Based Access Control for the Internet of Things
Yuanyu Zhang, Shoji Kasahara, Yulong Shen +2
cs.CRarXiv:1802.04410v12018
Learning non-maximum suppression
Jan Hosang, Rodrigo Benenson, Bernt Schiele
cs.CVarXiv:1705.02950v22017
UAV Air-to-Ground Channel Characterization for mmWave Systems
Wahab Khawaja, Ozgur Ozdemir, Ismail Guvenc
cs.ITarXiv:1707.04621v22017
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
Robert M. Gower, Filip Hanzely, Peter Richtárik +1
math.OCcs.NAmath.NAarXiv:1802.04079v22018
HDR image reconstruction from a single exposure using deep CNNs
Gabriel Eilertsen, Joel Kronander, Gyorgy Denes +2
cs.CVcs.GRcs.LGarXiv:1710.07480v12017
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
Jie Xu, Lixing Chen, Pan Zhou
cs.DCarXiv:1801.05868v12018
A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions
Samuel Dodge, Lina Karam
cs.CVarXiv:1705.02498v12017
On Improving Deep Reinforcement Learning for POMDPs
Pengfei Zhu, Xin Li, Pascal Poupart +1
cs.LGarXiv:1704.07978v62017
Detail-revealing Deep Video Super-resolution
Xin Tao, Hongyun Gao, Renjie Liao +2
cs.CVarXiv:1704.02738v12017
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks
Nick Johnston, Damien Vincent, David Minnen +6
cs.CVarXiv:1703.10114v12017
Dual-horizon peridynamics: A stable solution to varying horizons
Huilong Renc, Xiaoying Zhuangd, Timon Rabczuk
physics.comp-pharXiv:1703.05910v12017
Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency
Zhenheng Yang, Peng Wang, Wei Xu +2
cs.CVarXiv:1711.03665v12017
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil +72
cs.ARcs.LGcs.NEarXiv:1704.04760v12017
English Conversational Telephone Speech Recognition by Humans and Machines
George Saon, Gakuto Kurata, Tom Sercu +9
cs.CLarXiv:1703.02136v12017
The World's First Real-Time Testbed for Massive MIMO: Design, Implementation, and Validation
Steffen Malkowsky, Joao Vieira, Liang Liu +7
cs.ITarXiv:1701.01161v22016
Image Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images
Ebrahim Karami, Siva Prasad, Mohamed Shehata
cs.CVarXiv:1710.02726v12017
Automated Crowdturfing Attacks and Defenses in Online Review Systems
Yuanshun Yao, Bimal Viswanath, Jenna Cryan +2
cs.CRcs.SIarXiv:1708.08151v22017
GP-GAN: Towards Realistic High-Resolution Image Blending
Huikai Wu, Shuai Zheng, Junge Zhang +1
cs.CVarXiv:1703.07195v32017
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis
Yo Seob Han, Jaejun Yoo, Jong Chul Ye
cs.CVarXiv:1611.06391v22016
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network Ensemble
Kazuhisa Matsunaga, Akira Hamada, Akane Minagawa +1
cs.CVarXiv:1703.03108v12017
Automatic HVAC Control with Real-time Occupancy Recognition and Simulation-guided Model Predictive Control in Low-cost Embedded System
Muhammad Aftab, Chien Chen, Chi-Kin Chau +1
eess.SYarXiv:1708.05208v12017
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
Sebastian Ramos, Stefan Gehrig, Peter Pinggera +2
cs.CVcs.ROarXiv:1612.06573v12016
Provably Efficient Algorithms for Joint Placement and Allocation of Virtual Network Functions
Yu Sang, Bo Ji, Gagan R. Gupta +2
cs.NIarXiv:1702.01154v12017
Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework
Ugo Rosolia, Francesco Borrelli
eess.SYcs.LGmath.OCarXiv:1609.01387v72016
Multiplicative LSTM for sequence modelling
Ben Krause, Liang Lu, Iain Murray +1
cs.NEstat.MLarXiv:1609.07959v32016
Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)
Wen Li, Ying Zhang, Yifang Sun +3
cs.DBarXiv:1610.02455v12016
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference
Mustafa Mukadam, Jing Dong, Xinyan Yan +2
cs.ROarXiv:1707.07383v32017
Which Training Methods for GANs do actually Converge?
Lars Mescheder, Andreas Geiger, Sebastian Nowozin
cs.LGcs.AIcs.GTarXiv:1801.04406v42018
Hybrid Reward Architecture for Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Joshua Romoff +3
cs.LGarXiv:1706.04208v22017
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
Liting Sun, Cheng Peng, Wei Zhan +1
cs.AIcs.LGcs.SYarXiv:1707.02515v12017
Measuring Fairness in Ranked Outputs
Ke Yang, Julia Stoyanovich
cs.DBarXiv:1610.08559v12016
Mobility-Aware Caching in D2D Networks
Rui Wang, Jun Zhang, S. H. Song +1
cs.ITcs.NImath.ITarXiv:1606.05282v22016
Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering
Lucia Ballerini, Ruggiero Lovreglio, Maria del C. Valdes-Hernandez +4
cs.CVarXiv:1704.07699v12017
Assessing and tuning brain decoders: cross-validation, caveats, and guidelines
Gaël Varoquaux, Pradeep Reddy Raamana, Denis Engemann +3
stat.MLarXiv:1606.05201v22016
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Huizi Mao, Song Han, Jeff Pool +4
cs.LGstat.MLarXiv:1705.08922v32017
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu, Karen Simonyan, Oriol Vinyals +2
cs.LGcs.CVcs.NEarXiv:1711.00436v22017
GRASS: Generative Recursive Autoencoders for Shape Structures
Jun Li, Kai Xu, Siddhartha Chaudhuri +3
cs.GRcs.CVarXiv:1705.02090v22017
Stability Analysis for the Virtual Element Method
Lourenco Beirao da Veiga, Carlo Lovadina, Alessandro Russo
math.NAarXiv:1607.05988v12016
Convolution in Convolution for Network in Network
Yanwei Pang, Manli Sun, Xiaoheng Jiang +1
cs.CVarXiv:1603.06759v12016
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang +1
cs.CVarXiv:1703.09039v22017
Instance-Level Salient Object Segmentation
Guanbin Li, Yuan Xie, Liang Lin +1
cs.CVarXiv:1704.03604v12017
Latency and Reliability-Aware Task Offloading and Resource Allocation for Mobile Edge Computing
Chen-Feng Liu, Mehdi Bennis, H. Vincent Poor
cs.NIarXiv:1710.00590v12017
Connections between Mean-Field Game and Social Welfare Optimization
Sen Li, Wei Zhang, Lin Zhao
math.OCarXiv:1703.10211v82017
Refined Multiscale Fuzzy Entropy based on Standard Deviation for Biomedical Signal Analysis
Hamed Azami, Alberto Fernandez, Javier Escudero
cs.CEarXiv:1602.02847v22016
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang, Pingkun Yan, Yanbo Zhang +5
cs.CVarXiv:1708.00961v22017

Every paper with a summary

One pixel attack for fooling deep neural networks

Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets

VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs

SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud

Learning Differentially Private Recurrent Language Models

Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning

SSH: Single Stage Headless Face Detector

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

Joint Transmission Map Estimation and Dehazing using Deep Networks

A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images

Automated Website Fingerprinting through Deep Learning

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

Few-Example Object Detection with Model Communication

Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm

Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks

Smart Contract-Based Access Control for the Internet of Things

Learning non-maximum suppression

UAV Air-to-Ground Channel Characterization for mmWave Systems

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization

HDR image reconstruction from a single exposure using deep CNNs

Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks

A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions

On Improving Deep Reinforcement Learning for POMDPs

Detail-revealing Deep Video Super-resolution

Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks

Dual-horizon peridynamics: A stable solution to varying horizons

Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency

In-Datacenter Performance Analysis of a Tensor Processing Unit

English Conversational Telephone Speech Recognition by Humans and Machines

The World's First Real-Time Testbed for Massive MIMO: Design, Implementation, and Validation

Image Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images

Automated Crowdturfing Attacks and Defenses in Online Review Systems

GP-GAN: Towards Realistic High-Resolution Image Blending

Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis

Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network Ensemble

Automatic HVAC Control with Real-time Occupancy Recognition and Simulation-guided Model Predictive Control in Low-cost Embedded System

Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling

Provably Efficient Algorithms for Joint Placement and Allocation of Virtual Network Functions

Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework

Multiplicative LSTM for sequence modelling

Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)

Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference

Which Training Methods for GANs do actually Converge?

Hybrid Reward Architecture for Reinforcement Learning

A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning

Measuring Fairness in Ranked Outputs

Mobility-Aware Caching in D2D Networks

Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering

Assessing and tuning brain decoders: cross-validation, caveats, and guidelines

Exploring the Regularity of Sparse Structure in Convolutional Neural Networks

Hierarchical Representations for Efficient Architecture Search

GRASS: Generative Recursive Autoencoders for Shape Structures

Stability Analysis for the Virtual Element Method

Convolution in Convolution for Network in Network

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Instance-Level Salient Object Segmentation

Latency and Reliability-Aware Task Offloading and Resource Allocation for Mobile Edge Computing

Connections between Mean-Field Game and Social Welfare Optimization

Refined Multiscale Fuzzy Entropy based on Standard Deviation for Biomedical Signal Analysis

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss