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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14,041 to 14,100 of 116,511

Priority-based Parameter Propagation for Distributed DNN Training
Anand Jayarajan, Jinliang Wei, Garth Gibson +2
cs.DCcs.LGarXiv:1905.03960v12019
Data Management in Industry 4.0: State of the Art and Open Challenges
Theofanis P. Raptis, Andrea Passarella, Marco Conti
cs.NIarXiv:1902.06141v22019
The LOCATA Challenge: Acoustic Source Localization and Tracking
Christine Evers, Heinrich Loellmann, Heinrich Mellmann +4
eess.AScs.SDeess.SParXiv:1909.01008v32019
Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother
Smith W. A. Canchumuni, Alexandre A. Emerick, Marco Aurélio C. Pacheco
stat.MLcs.LGarXiv:1812.06900v12018
Joint Radar and Communication Design: Applications, State-of-the-art, and the Road Ahead
Fan Liu, Christos Masouros, Athina Petropulu +2
eess.SParXiv:1906.00789v12019
IEEE 802.11bd & 5G NR V2X: Evolution of Radio Access Technologies for V2X Communications
Gaurang Naik, Biplav Choudhury, Jung-Min +1
cs.ITarXiv:1903.08391v22019
Control Barrier Functions for Mechanical Systems: Theory and Application to Robotic Grasping
Wenceslao Shaw Cortez, Denny Oetomo, Chris Manzie +1
cs.ROarXiv:1903.09816v12019
SNAS: Stochastic Neural Architecture Search
Sirui Xie, Hehui Zheng, Chunxiao Liu +1
cs.LGcs.AIstat.MLarXiv:1812.09926v32018
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Haowei He, Gao Huang, Yang Yuan
cs.LGstat.MLarXiv:1902.00744v22019
Thou Shalt Not Depend on Me: Analysing the Use of Outdated JavaScript Libraries on the Web
Tobias Lauinger, Abdelberi Chaabane, Sajjad Arshad +3
cs.CRarXiv:1811.00918v22018
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems
Lixin Zou, Long Xia, Zhuoye Ding +3
cs.IRarXiv:1902.05570v42019
Evaluating Differentially Private Machine Learning in Practice
Bargav Jayaraman, David Evans
cs.LGcs.CRstat.MLarXiv:1902.08874v42019
FarSense: Pushing the Range Limit of WiFi-based Respiration Sensing with CSI Ratio of Two Antennas
Youwei Zeng, Dan Wu, Jie Xiong +3
eess.SPcs.HCarXiv:1907.03994v32019
Nonlinear Cuff-less Blood Pressure Estimation of Healthy Subjects Using Pulse Transit Time and Arrival Time
Amirhossein Esmaili, Mohammad Kachuee, Mahdi Shabany
eess.SParXiv:1812.00544v22018
Automated Machine Learning: From Principles to Practices
Zhenqian Shen, Yongqi Zhang, Lanning Wei +2
cs.AIcs.LGstat.MLarXiv:1810.13306v52018
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
Pengfei Chen, Benben Liao, Guangyong Chen +1
cs.LGstat.MLarXiv:1905.05040v12019
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
Hongshan Li, Chenghao Hu, Jingyan Jiang +3
cs.DCarXiv:1812.10027v12018
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
Alex Beutel, Jilin Chen, Tulsee Doshi +6
cs.LGcs.AIcs.CYarXiv:1901.04562v12019
Resource Management in Fog/Edge Computing: A Survey
Cheol-Ho Hong, Blesson Varghese
cs.DCarXiv:1810.00305v12018
Generating Multi-Scroll Chua's Attractors via Simplified Piecewise-Linear Chua's Diode
Ning Wang, Chengqing Li, Han Bao +2
nlin.CDeess.SParXiv:1810.11474v22018
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Yao Wan, Zhou Zhao, Min Yang +4
cs.SEcs.CLcs.LGarXiv:1811.07234v12018
Segment Routing: a Comprehensive Survey of Research Activities, Standardization Efforts and Implementation Results
Pier Luigi Ventre, Stefano Salsano, Marco Polverini +5
cs.NIarXiv:1904.03471v52019
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Qiangguo Jin, Zhaopeng Meng, Changming Sun +2
cs.CVarXiv:1811.01328v12018
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Changan Chen, Yuejiang Liu, Sven Kreiss +1
cs.ROcs.LGarXiv:1809.08835v22018
Design-Oriented Transient Stability Analysis of PLL-Synchronized Voltage-Source Converters
Heng Wu, Xiongfei Wang
eess.SYarXiv:1811.08926v22018
DeepShift: Towards Multiplication-Less Neural Networks
Mostafa Elhoushi, Zihao Chen, Farhan Shafiq +2
cs.LGcs.NEarXiv:1905.13298v52019
Forecasting Time Series with VARMA Recursions on Graphs
Elvin Isufi, Andreas Loukas, Nathanael Perraudin +1
eess.SPcs.SYecon.EMarXiv:1810.08581v22018
Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN
Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang +1
cs.ITarXiv:1807.00447v12018
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
Hongwei Wang, Fuzheng Zhang, Mengdi Zhang +4
cs.LGcs.IRstat.MLarXiv:1905.04413v32019
Rank Minimization for Snapshot Compressive Imaging
Yang Liu, Xin Yuan, Jinli Suo +2
cs.CVarXiv:1807.07837v12018
Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection
Meng Shen, Baoli Ma, Liehuang Zhu +3
cs.CRarXiv:1809.07912v12018
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
Quan Wang, Hannah Muckenhirn, Kevin Wilson +7
eess.AScs.LGeess.SParXiv:1810.04826v62018
Neighbourhood Consensus Networks
Ignacio Rocco, Mircea Cimpoi, Relja Arandjelović +3
cs.CVcs.LGarXiv:1810.10510v22018
Spectral Efficiency Analysis of Cell-Free Massive MIMO Systems with Zero-Forcing Detector
Pei Liu, Kai Luo, Da Chen +1
cs.ITmath.ITarXiv:1805.10621v22018
Branched Multi-Task Networks: Deciding What Layers To Share
Simon Vandenhende, Stamatios Georgoulis, Bert De Brabandere +1
cs.CVarXiv:1904.02920v52019
Deep Generative Modeling for Scene Synthesis via Hybrid Representations
Zaiwei Zhang, Zhenpei Yang, Chongyang Ma +4
cs.CVarXiv:1808.02084v12018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Yunsheng Bai, Hao Ding, Song Bian +3
cs.LGstat.MLarXiv:1808.05689v42018
Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring
Hongzhuo Liang, Shuang Li, Xiaojian Ma +4
cs.ROcs.SDeess.ASarXiv:1903.00650v22019
Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks
Moshe Kravchik, Asaf Shabtai
cs.CRcs.LGarXiv:1806.08110v22018
Price-based Resource Allocation for Edge Computing: A Market Equilibrium Approach
Duong Tung Nguyen, Long Bao Le, Vijay Bhargava
cs.GTarXiv:1805.02982v12018
dRRT*: Scalable and Informed Asymptotically-Optimal Multi-Robot Motion Planning
Rahul Shome, Kiril Solovey, Andrew Dobson +2
cs.ROarXiv:1903.00994v12019
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi, Olivier Bachem, Mario Lucic +2
stat.MLcs.LGarXiv:1806.00035v22018
Pathwise Derivatives Beyond the Reparameterization Trick
Martin Jankowiak, Fritz Obermeyer
stat.MLcs.LGarXiv:1806.01851v22018
The Architectural Implications of Microservices in the Cloud
Yu Gan, Christina Delimitrou
cs.DCarXiv:1805.10351v12018
Action Robust Reinforcement Learning and Applications in Continuous Control
Chen Tessler, Yonathan Efroni, Shie Mannor
cs.LGstat.MLarXiv:1901.09184v22019
StegNet: Mega Image Steganography Capacity with Deep Convolutional Network
Pin Wu, Yang Yang, Xiaoqiang Li
cs.MMarXiv:1806.06357v12018
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti +8
cs.ETcs.ARarXiv:1901.10351v22019
Model-Driven Engineering of Self-Adaptive Software with EUREMA
Thomas Vogel, Holger Giese
cs.SEarXiv:1805.07353v12018
A Distributed Version of the Hungarian Method for Multi-Robot Assignment
Smriti Chopra, Giuseppe Notarstefano, Matthew Rice +1
eess.SYarXiv:1805.08712v12018
Learning to See in the Dark
Chen Chen, Qifeng Chen, Jia Xu +1
cs.CVcs.GRcs.LGarXiv:1805.01934v12018
Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran, Nicolas Loizou, Nicolas Ballas +1
cs.LGcs.AIcs.DCarXiv:1811.10792v32018
Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs
Fei Zuo, Xiaopeng Li, Patrick Young +3
cs.SEcs.CLcs.CRarXiv:1808.04706v22018
Learning Robotic Assembly from CAD
Garrett Thomas, Melissa Chien, Aviv Tamar +2
cs.ROcs.LGarXiv:1803.07635v22018
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training
Liang Luo, Jacob Nelson, Luis Ceze +2
cs.DCcs.LGcs.NEarXiv:1805.07891v22018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai, Ligeng Zhu, Song Han
cs.LGcs.CVstat.MLarXiv:1812.00332v22018
Multi-user Multi-task Offloading and Resource Allocation in Mobile Cloud Systems
Meng-Hsi Chen, Ben Liang, Min Dong
cs.ITmath.ITarXiv:1803.06577v22018
Neural Granger Causality
Alex Tank, Ian Covert, Nicholas Foti +2
stat.MLarXiv:1802.05842v22018
Learning State Representations for Query Optimization with Deep Reinforcement Learning
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke +1
cs.DBcs.AIcs.LGarXiv:1803.08604v12018
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection
Liyan Sun, Jiexiang Wang, Yue Huang +3
cs.CVarXiv:1810.10850v22018
Oreo: Detection of Clones in the Twilight Zone
Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu +2
cs.SEarXiv:1806.05837v12018

Every paper with a summary

Priority-based Parameter Propagation for Distributed DNN Training

Data Management in Industry 4.0: State of the Art and Open Challenges

The LOCATA Challenge: Acoustic Source Localization and Tracking

Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother

Joint Radar and Communication Design: Applications, State-of-the-art, and the Road Ahead

IEEE 802.11bd & 5G NR V2X: Evolution of Radio Access Technologies for V2X Communications

Control Barrier Functions for Mechanical Systems: Theory and Application to Robotic Grasping

SNAS: Stochastic Neural Architecture Search

Asymmetric Valleys: Beyond Sharp and Flat Local Minima

Thou Shalt Not Depend on Me: Analysing the Use of Outdated JavaScript Libraries on the Web

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems

Evaluating Differentially Private Machine Learning in Practice

FarSense: Pushing the Range Limit of WiFi-based Respiration Sensing with CSI Ratio of Two Antennas

Nonlinear Cuff-less Blood Pressure Estimation of Healthy Subjects Using Pulse Transit Time and Arrival Time

Automated Machine Learning: From Principles to Practices

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution

Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements

Resource Management in Fog/Edge Computing: A Survey

Generating Multi-Scroll Chua's Attractors via Simplified Piecewise-Linear Chua's Diode

Improving Automatic Source Code Summarization via Deep Reinforcement Learning

Segment Routing: a Comprehensive Survey of Research Activities, Standardization Efforts and Implementation Results

RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Design-Oriented Transient Stability Analysis of PLL-Synchronized Voltage-Source Converters

DeepShift: Towards Multiplication-Less Neural Networks

Forecasting Time Series with VARMA Recursions on Graphs

Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems

Rank Minimization for Snapshot Compressive Imaging

Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

Neighbourhood Consensus Networks

Spectral Efficiency Analysis of Cell-Free Massive MIMO Systems with Zero-Forcing Detector

Branched Multi-Task Networks: Deciding What Layers To Share

Deep Generative Modeling for Scene Synthesis via Hybrid Representations

SimGNN: A Neural Network Approach to Fast Graph Similarity Computation

Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring

Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks

Price-based Resource Allocation for Edge Computing: A Market Equilibrium Approach

dRRT*: Scalable and Informed Asymptotically-Optimal Multi-Robot Motion Planning

Assessing Generative Models via Precision and Recall

Pathwise Derivatives Beyond the Reparameterization Trick

The Architectural Implications of Microservices in the Cloud

Action Robust Reinforcement Learning and Applications in Continuous Control

StegNet: Mega Image Steganography Capacity with Deep Convolutional Network

PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference

Model-Driven Engineering of Self-Adaptive Software with EUREMA

A Distributed Version of the Hungarian Method for Multi-Robot Assignment

Learning to See in the Dark

Stochastic Gradient Push for Distributed Deep Learning

Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs

Learning Robotic Assembly from CAD

Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Multi-user Multi-task Offloading and Resource Allocation in Mobile Cloud Systems

Neural Granger Causality

Learning State Representations for Query Optimization with Deep Reinforcement Learning

An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection

Oreo: Detection of Clones in the Twilight Zone