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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24,841 to 24,900 of 61,271

MU-MIMO Communications with MIMO Radar: From Co-existence to Joint Transmission
Fan Liu, Christos Masouros, Ang Li +2
cs.ITarXiv:1707.00519v12017
Variational approach for learning Markov processes from time series data
Hao Wu, Frank Noé
stat.MLmath.DSarXiv:1707.04659v32017
Beyond Massive-MIMO: The Potential of Data-Transmission with Large Intelligent Surfaces
Sha Hu, Fredrik Rusek, Ove Edfors
cs.ITarXiv:1707.02887v12017
Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt, Pang Wei Koh, Percy Liang
cs.LGcs.CRarXiv:1706.03691v22017
Spectrally-normalized margin bounds for neural networks
Peter Bartlett, Dylan J. Foster, Matus Telgarsky
cs.LGcs.NEstat.MLarXiv:1706.08498v22017
A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends
Zhiguo Ding, Xianfu Lei, George K. Karagiannidis +3
cs.ITarXiv:1706.05347v12017
NormFace: L2 Hypersphere Embedding for Face Verification
Feng Wang, Xiang Xiang, Jian Cheng +1
cs.CVarXiv:1704.06369v42017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles R. Qi, Li Yi, Hao Su +1
cs.CVarXiv:1706.02413v12017
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu +4
cs.CVcs.LGarXiv:1706.00712v12017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe, Yi Wu, Aviv Tamar +3
cs.LGcs.AIcs.NEarXiv:1706.02275v42017
Cautious Model Predictive Control using Gaussian Process Regression
Lukas Hewing, Juraj Kabzan, Melanie N. Zeilinger
eess.SYmath.OCarXiv:1705.10702v42017
Advanced Bayesian Multilevel Modeling with the R Package brms
Paul-Christian Bürkner
stat.COarXiv:1705.11123v22017
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
Ankur Sinha, Pekka Malo, Kalyanmoy Deb
math.OCcs.NEarXiv:1705.06270v22017
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason Altschuler, Jonathan Weed, Philippe Rigollet
cs.DSstat.MLarXiv:1705.09634v22017
Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks
Qingqing Wu, Yong Zeng, Rui Zhang
cs.ITmath.DSmath.OCarXiv:1705.02723v32017
Learning Combinatorial Optimization Algorithms over Graphs
Hanjun Dai, Elias B. Khalil, Yuyu Zhang +2
cs.LGstat.MLarXiv:1704.01665v42017
Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network
ByeoungDo Kim, Chang Mook Kang, Seung Hi Lee +4
cs.LGarXiv:1704.07049v22017
Wireless Communication using Unmanned Aerial Vehicles (UAVs): Optimal Transport Theory for Hover Time Optimization
Mohammad Mozaffari, Walid Saad, Mehdi Bennis +1
cs.ITarXiv:1704.04813v12017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang +1
cs.CVarXiv:1703.09039v22017
Ultra-Reliable and Low-Latency Communications in 5G Downlink: Physical Layer Aspects
Hyoungju Ji, Sunho Park, Jeongho Yeo +3
cs.ITarXiv:1704.05565v62017
Reweighted Infrared Patch-Tensor Model With Both Non-Local and Local Priors for Single-Frame Small Target Detection
Yimian Dai, Yiquan Wu
cs.CVarXiv:1703.09157v12017
Latency Optimization for Resource Allocation in Mobile-Edge Computation Offloading
Jinke Ren, Guanding Yu, Yunlong Cai +1
cs.ITarXiv:1704.00163v12017
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification
Qingshan Liu, Feng Zhou, Renlong Hang +1
cs.CVarXiv:1703.07910v12017
Many-body quantum state tomography with neural networks
Giacomo Torlai, Guglielmo Mazzola, Juan Carrasquilla +3
cond-mat.dis-nncond-mat.quant-gasphysics.comp-pharXiv:1703.05334v22017
Internet of Things: An Overview
Farzad Khodadadi, Amir Vahid Dastjerdi, Rajkumar Buyya
cs.DCcs.NIarXiv:1703.06409v12017
Deep Sets
Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh +3
cs.LGstat.MLarXiv:1703.06114v32017
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing
Jie Xu, Lixing Chen, Shaolei Ren
cs.LGcs.NIarXiv:1703.06060v12017
Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks
Lixing Chen, Sheng Zhou, Jie Xu
cs.GTcs.DCarXiv:1703.06058v22017
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models
Enrico Mariconti, Lucky Onwuzurike, Panagiotis Andriotis +3
cs.CRarXiv:1612.04433v32016
Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications
Mohammad Mozaffari, Walid Saad, Mehdi Bennis +1
cs.ITarXiv:1703.05401v22017
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
Jianqi Ma, Weiyuan Shao, Hao Ye +4
cs.CVarXiv:1703.01086v32017
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Pavel Mach, Zdenek Becvar
cs.ITcs.NIarXiv:1702.05309v22017
Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains
Yuanyuan Shi, Bolun Xu, Di Wang +1
eess.SYcs.DCmath.OCarXiv:1702.08065v32017
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection
Tharindu Fernando, Simon Denman, Sridha Sridharan +1
cs.CVcs.NEarXiv:1702.05552v12017
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Xiaomei Zhao, Yihong Wu, Guidong Song +3
cs.CVarXiv:1702.04528v32017
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
Stefan Elfwing, Eiji Uchibe, Kenji Doya
cs.LGarXiv:1702.03118v32017
An Introduction to Deep Learning for the Physical Layer
Timothy J. O'Shea, Jakob Hoydis
cs.ITcs.LGcs.NIarXiv:1702.00832v22017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz +4
cs.LGcs.CLcs.NEarXiv:1701.06538v12017
Random Forest Missing Data Algorithms
Fei Tang, Hemant Ishwaran
stat.MLarXiv:1701.05305v22017
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Ali Mousavi, Richard G. Baraniuk
stat.MLcs.AIcs.ITarXiv:1701.03891v12017
Machine Learning of Linear Differential Equations using Gaussian Processes
Maziar Raissi, George Em. Karniadakis
cs.LGmath.NAstat.MLarXiv:1701.02440v12017
Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data
Anuj Karpatne, Gowtham Atluri, James Faghmous +6
cs.LGcs.AIstat.MLarXiv:1612.08544v22016
Adiabatic Quantum Computing
Tameem Albash, Daniel A. Lidar
quant-pharXiv:1611.04471v22016
Discriminative Correlation Filter with Channel and Spatial Reliability
Alan Lukežič, Tomáš Vojíř, Luka Čehovin +2
cs.CVarXiv:1611.08461v32016
Deeply supervised salient object detection with short connections
Qibin Hou, Ming-Ming Cheng, Xiao-Wei Hu +3
cs.CVarXiv:1611.04849v42016
Practical Secure Aggregation for Federated Learning on User-Held Data
Keith Bonawitz, Vladimir Ivanov, Ben Kreuter +6
cs.CRstat.MLarXiv:1611.04482v12016
Understanding Deep Neural Networks with Rectified Linear Units
Raman Arora, Amitabh Basu, Poorya Mianjy +1
cs.LGcond-mat.dis-nncs.AIarXiv:1611.01491v62016
Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting
Jun Wang, Weinan Zhang, Shuai Yuan
cs.GTarXiv:1610.03013v22016
Product-based Neural Networks for User Response Prediction
Yanru Qu, Han Cai, Kan Ren +4
cs.LGcs.IRarXiv:1611.00144v12016
Sentiment Analysis of Twitter Data for Predicting Stock Market Movements
Venkata Sasank Pagolu, Kamal Nayan Reddy Challa, Ganapati Panda +1
cs.IRcs.CLcs.SIarXiv:1610.09225v12016
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal, Juan D. Tardos
cs.ROcs.CVarXiv:1610.06475v22016
Visual-Inertial Monocular SLAM with Map Reuse
Raul Mur-Artal, Juan D. Tardos
cs.ROcs.CVarXiv:1610.05949v22016
Low Power Wide Area Network Analysis: Can LoRa Scale?
Orestis Georgiou, Usman Raza
cs.NIarXiv:1610.04793v22016
Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience
Mingzhe Chen, Mohammad Mozaffari, Walid Saad +3
cs.ITarXiv:1610.01585v12016
Generalized Random Forests
Susan Athey, Julie Tibshirani, Stefan Wager
stat.MEecon.EMstat.MLarXiv:1610.01271v42016
Quantum-Chemical Insights from Deep Tensor Neural Networks
Kristof T. Schütt, Farhad Arbabzadah, Stefan Chmiela +2
physics.chem-pharXiv:1609.08259v42016
A Survey of Multi-View Representation Learning
Yingming Li, Ming Yang, Zhongfei Zhang
cs.LGcs.CVcs.IRarXiv:1610.01206v52016
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.CVarXiv:1610.00696v22016
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots
Mark Pfeiffer, Michael Schaeuble, Juan Nieto +2
cs.ROarXiv:1609.07910v32016
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
Ruining He, Julian McAuley
cs.IRarXiv:1609.09152v12016

Every paper with a summary

MU-MIMO Communications with MIMO Radar: From Co-existence to Joint Transmission

Variational approach for learning Markov processes from time series data

Beyond Massive-MIMO: The Potential of Data-Transmission with Large Intelligent Surfaces

Certified Defenses for Data Poisoning Attacks

Spectrally-normalized margin bounds for neural networks

A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends

NormFace: L2 Hypersphere Embedding for Face Verification

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Cautious Model Predictive Control using Gaussian Process Regression

Advanced Bayesian Multilevel Modeling with the R Package brms

A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications

Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration

Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks

Learning Combinatorial Optimization Algorithms over Graphs

Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network

Wireless Communication using Unmanned Aerial Vehicles (UAVs): Optimal Transport Theory for Hover Time Optimization

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Ultra-Reliable and Low-Latency Communications in 5G Downlink: Physical Layer Aspects

Reweighted Infrared Patch-Tensor Model With Both Non-Local and Local Priors for Single-Frame Small Target Detection

Latency Optimization for Resource Allocation in Mobile-Edge Computation Offloading

Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification

Many-body quantum state tomography with neural networks

Internet of Things: An Overview

Deep Sets

Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing

Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks

MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models

Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications

Arbitrary-Oriented Scene Text Detection via Rotation Proposals

Mobile Edge Computing: A Survey on Architecture and Computation Offloading

Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains

Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

An Introduction to Deep Learning for the Physical Layer

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Random Forest Missing Data Algorithms

Learning to Invert: Signal Recovery via Deep Convolutional Networks

Machine Learning of Linear Differential Equations using Gaussian Processes

Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data

Adiabatic Quantum Computing

Discriminative Correlation Filter with Channel and Spatial Reliability

Deeply supervised salient object detection with short connections

Practical Secure Aggregation for Federated Learning on User-Held Data

Understanding Deep Neural Networks with Rectified Linear Units

Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting

Product-based Neural Networks for User Response Prediction

Sentiment Analysis of Twitter Data for Predicting Stock Market Movements

ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras

Visual-Inertial Monocular SLAM with Map Reuse

Low Power Wide Area Network Analysis: Can LoRa Scale?

Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience

Generalized Random Forests

Quantum-Chemical Insights from Deep Tensor Neural Networks

A Survey of Multi-View Representation Learning

Deep Visual Foresight for Planning Robot Motion

From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots

Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation