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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95,461 to 95,520 of 102,240

DISC: Deep Image Saliency Computing via Progressive Representation Learning
Tianshui Chen, Liang Lin, Lingbo Liu +2
cs.CVarXiv:1511.04192v22015
SketchyCOCO: Image Generation from Freehand Scene Sketches
Chengying Gao, Qi Liu, Qi Xu +3
cs.CVarXiv:2003.02683v52020
Millimeter-Wave Distance-Dependent Large-Scale Propagation Measurements and Path Loss Models for Outdoor and Indoor 5G Systems
Shu Sun, George R. MacCartney, Theodore S. Rappaport
cs.ITarXiv:1511.07345v42015
Transfer Learning for Low-Resource Neural Machine Translation
Barret Zoph, Deniz Yuret, Jonathan May +1
cs.CLarXiv:1604.02201v12016
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
Fangyi Zhang, Jürgen Leitner, Michael Milford +2
cs.LGcs.CVcs.ROarXiv:1511.03791v22015
A Description Logic Primer
Markus Krötzsch, Frantisek Simancik, Ian Horrocks
cs.AIcs.LOarXiv:1201.4089v32012
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
Pingbo Pan, Zhongwen Xu, Yi Yang +2
cs.CVarXiv:1511.03476v12015
A review on locomotion robophysics: the study of movement at the intersection of robotics, soft matter and dynamical systems
Jeffrey Aguilar, Tingnan Zhang, Feifei Qian +11
cs.ROcond-mat.softnlin.AOarXiv:1602.04712v12016
Scikit-learn: Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort +16
cs.LGcs.MSarXiv:1201.0490v42012
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Pooya Khorrami, Tom Le Paine, Thomas S. Huang
cs.CVcs.LGcs.NEarXiv:1510.02969v32015
A Review of Control Algorithms for Autonomous Quadrotors
Andrew Zulu, Samuel John
eess.SYarXiv:1602.02622v12016
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
Takuya Narihira, Michael Maire, Stella X. Yu
cs.CVarXiv:1512.02311v12015
Prediction, dynamics, and visualization of antigenic phenotypes of seasonal influenza viruses
Richard A. Neher, Trevor Bedford, Rodney S. Daniels +2
q-bio.PEarXiv:1510.01195v12015
Learning scale-variant and scale-invariant features for deep image classification
Nanne van Noord, Eric Postma
cs.CVarXiv:1602.01255v22016
Generating images with recurrent adversarial networks
Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang +1
cs.LGcs.CVarXiv:1602.05110v52016
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
Andreas Veit, Balazs Kovacs, Sean Bell +3
cs.CVarXiv:1509.07473v12015
Lipreading with Long Short-Term Memory
Michael Wand, Jan Koutník, Jürgen Schmidhuber
cs.CVcs.CLarXiv:1601.08188v12016
Learning to Incorporate Structure Knowledge for Image Inpainting
Jie Yang, Zhiquan Qi, Yong Shi
cs.CVcs.LGeess.IVarXiv:2002.04170v22020
qHiPSTER: The Quantum High Performance Software Testing Environment
Mikhail Smelyanskiy, Nicolas P. D. Sawaya, Alán Aspuru-Guzik
quant-phcs.DCarXiv:1601.07195v22016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han, Huizi Mao, William J. Dally
cs.CVcs.NEarXiv:1510.00149v52015
Deep Contrast Learning for Salient Object Detection
Guanbin Li, Yizhou Yu
cs.CVarXiv:1603.01976v12016
Priority-Flood: An Optimal Depression-Filling and Watershed-Labeling Algorithm for Digital Elevation Models
Richard Barnes, Clarence Lehman, David Mulla
cs.DSarXiv:1511.04463v12015
Fog Computing: Focusing on Mobile Users at the Edge
Tom H. Luan, Longxiang Gao, Zhi Li +3
cs.NIarXiv:1502.01815v32015
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Makoto Miwa, Mohit Bansal
cs.CLcs.LGarXiv:1601.00770v32016
Going Deeper in Facial Expression Recognition using Deep Neural Networks
Ali Mollahosseini, David Chan, Mohammad H. Mahoor
cs.NEcs.CVarXiv:1511.04110v12015
MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery
Qing Zhu, Cheng Liao, Han Hu +2
cs.CVarXiv:1910.12060v22019
Dynamic Pricing and Distributed Energy Management for Demand Response
Liyan Jia, Lang Tong
math.OCarXiv:1601.02319v22016
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
Deepti Ghadiyaram, Alan C. Bovik
cs.CVarXiv:1511.02919v12015
The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review
Ivens Portugal, Paulo Alencar, Donald Cowan
cs.SEcs.IRcs.LGarXiv:1511.05263v42015
Learning Norms from Stories: A Prior for Value Aligned Agents
Spencer Frazier, Md Sultan Al Nahian, Mark Riedl +1
cs.AIcs.CLcs.LGarXiv:1912.03553v12019
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities
Arshia Rehman, Saeeda Naz, Imran Razzak
stat.OTcs.LGstat.MLarXiv:2004.09010v12020
Natural Language Object Retrieval
Ronghang Hu, Huazhe Xu, Marcus Rohrbach +3
cs.CVcs.CLarXiv:1511.04164v32015
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition
Chenxu Luo, Alan Yuille
cs.CVarXiv:1909.13130v12019
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices
Tayfun Gokmen, Yurii Vlasov
cs.LGcs.NEstat.MLarXiv:1603.07341v12016
Structured Pruning of Deep Convolutional Neural Networks
Sajid Anwar, Kyuyeon Hwang, Wonyong Sung
cs.NEcs.LGstat.MLarXiv:1512.08571v12015
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu, Aviral Kumar, Ofir Nachum +2
cs.LGstat.MLarXiv:2004.07219v42020
THCHS-30 : A Free Chinese Speech Corpus
Dong Wang, Xuewei Zhang
cs.CLcs.SDarXiv:1512.01882v22015
Staple: Complementary Learners for Real-Time Tracking
Luca Bertinetto, Jack Valmadre, Stuart Golodetz +2
cs.CVarXiv:1512.01355v22015
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges
S. Li, S. Dragicevic, F. Anton +8
physics.soc-phcs.CYphysics.data-anarXiv:1511.03010v12015
Characterizing the Google Books corpus: Strong limits to inferences of socio-cultural and linguistic evolution
Eitan Adam Pechenick, Christopher M. Danforth, Peter Sheridan Dodds
physics.soc-phcond-mat.stat-mechcs.CLarXiv:1501.00960v42015
Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect
Qifei Wang, Gregorij Kurillo, Ferda Ofli +1
cs.CVcs.AIarXiv:1512.04134v12015
The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey
Patrick Glauner, Jorge Augusto Meira, Petko Valtchev +2
cs.AIarXiv:1606.00626v32016
Deep learning tools for the measurement of animal behavior in neuroscience
Mackenzie W. Mathis, Alexander Mathis
cs.CVq-bio.NCq-bio.QMarXiv:1909.13868v22019
Deep convolutional neural networks for predominant instrument recognition in polyphonic music
Yoonchang Han, Jaehun Kim, Kyogu Lee
cs.SDcs.CVcs.LGarXiv:1605.09507v32016
An Introduction to Convolutional Neural Networks
Keiron O'Shea, Ryan Nash
cs.NEcs.CVcs.LGarXiv:1511.08458v22015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla
cs.CVcs.LGcs.NEarXiv:1511.00561v32015
SourcererCC: Scaling Code Clone Detection to Big Code
Hitesh Sajnani, Vaibhav Saini, Jeffrey Svajlenko +2
cs.SEarXiv:1512.06448v12015
Filtered-OFDM - Enabler for Flexible Waveform in The 5th Generation Cellular Networks
Xi Zhang, Ming Jia, Lei Chen +2
cs.ITarXiv:1508.07387v12015
Deep convolutional neural networks for pedestrian detection
Denis Tomè, Federico Monti, Luca Baroffio +3
cs.CVarXiv:1510.03608v52015
Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks
Junyi Pan, Xiaoguang Han, Weikai Chen +2
cs.CVarXiv:1909.00321v12019
A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts +1
cs.CLarXiv:1508.05326v12015
Gene Ontology: Pitfalls, Biases, Remedies
Pascale Gaudet, Christophe Dessimoz
q-bio.GNarXiv:1602.01875v12016
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Qi Wu, Chunhua Shen, Anton van den Hengel +2
cs.CVarXiv:1603.02814v22016
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation
Shreeyak S. Sajjan, Matthew Moore, Mike Pan +4
cs.CVcs.ROeess.IVarXiv:1910.02550v22019
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping
Michael Xie, Neal Jean, Marshall Burke +2
cs.CVcs.CYarXiv:1510.00098v22015
Dissecting GPU Memory Hierarchy through Microbenchmarking
Xinxin Mei, Xiaowen Chu
cs.ARcs.DCarXiv:1509.02308v22015
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Nikolaus Mayer, Eddy Ilg, Philip Häusser +4
cs.CVcs.LGstat.MLarXiv:1512.02134v12015
RUBi: Reducing Unimodal Biases in Visual Question Answering
Remi Cadene, Corentin Dancette, Hedi Ben-younes +2
cs.CVcs.CLcs.LGarXiv:1906.10169v22019
Modelling Uncertainty in Deep Learning for Camera Relocalization
Alex Kendall, Roberto Cipolla
cs.CVcs.ROarXiv:1509.05909v22015
Semantic Amodal Segmentation
Yan Zhu, Yuandong Tian, Dimitris Mexatas +1
cs.CVarXiv:1509.01329v22015

Every paper with a summary

DISC: Deep Image Saliency Computing via Progressive Representation Learning

SketchyCOCO: Image Generation from Freehand Scene Sketches

Millimeter-Wave Distance-Dependent Large-Scale Propagation Measurements and Path Loss Models for Outdoor and Indoor 5G Systems

Transfer Learning for Low-Resource Neural Machine Translation

Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control

A Description Logic Primer

Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning

A review on locomotion robophysics: the study of movement at the intersection of robotics, soft matter and dynamical systems

Scikit-learn: Machine Learning in Python

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?

A Review of Control Algorithms for Autonomous Quadrotors

Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression

Prediction, dynamics, and visualization of antigenic phenotypes of seasonal influenza viruses

Learning scale-variant and scale-invariant features for deep image classification

Generating images with recurrent adversarial networks

Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences

Lipreading with Long Short-Term Memory

Learning to Incorporate Structure Knowledge for Image Inpainting

qHiPSTER: The Quantum High Performance Software Testing Environment

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Deep Contrast Learning for Salient Object Detection

Priority-Flood: An Optimal Depression-Filling and Watershed-Labeling Algorithm for Digital Elevation Models

Fog Computing: Focusing on Mobile Users at the Edge

End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures

Going Deeper in Facial Expression Recognition using Deep Neural Networks

MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery

Dynamic Pricing and Distributed Energy Management for Demand Response

Massive Online Crowdsourced Study of Subjective and Objective Picture Quality

The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review

Learning Norms from Stories: A Prior for Value Aligned Agents

Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities

Natural Language Object Retrieval

Grouped Spatial-Temporal Aggregation for Efficient Action Recognition

Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices

Structured Pruning of Deep Convolutional Neural Networks

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

THCHS-30 : A Free Chinese Speech Corpus

Staple: Complementary Learners for Real-Time Tracking

Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges

Characterizing the Google Books corpus: Strong limits to inferences of socio-cultural and linguistic evolution

Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect

The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey

Deep learning tools for the measurement of animal behavior in neuroscience

Deep convolutional neural networks for predominant instrument recognition in polyphonic music

An Introduction to Convolutional Neural Networks

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

SourcererCC: Scaling Code Clone Detection to Big Code

Filtered-OFDM - Enabler for Flexible Waveform in The 5th Generation Cellular Networks

Deep convolutional neural networks for pedestrian detection

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks

A large annotated corpus for learning natural language inference

Gene Ontology: Pitfalls, Biases, Remedies

Image Captioning and Visual Question Answering Based on Attributes and External Knowledge

ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation

Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping

Dissecting GPU Memory Hierarchy through Microbenchmarking

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

RUBi: Reducing Unimodal Biases in Visual Question Answering

Modelling Uncertainty in Deep Learning for Camera Relocalization

Semantic Amodal Segmentation