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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110,941 to 111,000 of 117,580

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
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
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
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 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
SplitFS: Reducing Software Overhead in File Systems for Persistent Memory
Rohan Kadekodi, Se Kwon Lee, Sanidhya Kashyap +3
cs.OScs.PFarXiv:1909.10123v12019
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking
Qiao Liu, Xin Li, Zhenyu He +3
cs.CVarXiv:1906.03568v12019
Analyzing the Structure of Attention in a Transformer Language Model
Jesse Vig, Yonatan Belinkov
cs.CLcs.LGstat.MLarXiv:1906.04284v22019
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing
Shifeng Zhang, Ajian Liu, Jun Wan +5
cs.CVarXiv:1908.10654v22019
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach
Weizhong Yan, Lijie Yu
cs.LGstat.MLarXiv:1908.09238v12019
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
Taekyung Kim, Minki Jeong, Seunghyeon Kim +2
cs.CVarXiv:1905.05396v12019
Kindling the Darkness: A Practical Low-light Image Enhancer
Yonghua Zhang, Jiawan Zhang, Xiaojie Guo
cs.CVarXiv:1905.04161v12019
FAHT: An Adaptive Fairness-aware Decision Tree Classifier
Wenbin Zhang, Eirini Ntoutsi
cs.LGcs.AIstat.MLarXiv:1907.07237v12019
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki +1
cs.CVcs.LGarXiv:1506.07452v12015
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Peter Ondruska, Ingmar Posner
cs.LGcs.AIcs.CVarXiv:1602.00991v22016
ReCon: Revealing and Controlling PII Leaks in Mobile Network Traffic
Jingjing Ren, Ashwin Rao, Martina Lindorfer +2
cs.CRcs.NIarXiv:1507.00255v32015
Adversarial Autoencoders
Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly +2
cs.LGarXiv:1511.05644v22015
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters
Dmitry Kobak, Wieland Brendel, Christos Constantinidis +7
q-bio.NCstat.MLarXiv:1410.6031v12014
A C-LSTM Neural Network for Text Classification
Chunting Zhou, Chonglin Sun, Zhiyuan Liu +1
cs.CLarXiv:1511.08630v22015
Integrating Machine Learning and Multiscale Modeling: Perspectives, Challenges, and Opportunities in the Biological, Biomedical, and Behavioral Sciences
Mark Alber, Adrian Buganza Tepole, William Cannon +8
q-bio.QMphysics.bio-phphysics.med-pharXiv:1910.01258v22019
Foveation-based Mechanisms Alleviate Adversarial Examples
Yan Luo, Xavier Boix, Gemma Roig +2
cs.LGcs.CVarXiv:1511.06292v32015
A Survey of Binary Code Similarity
Irfan Ul Haq, Juan Caballero
cs.CRarXiv:1909.11424v12019
Understanding Modern Banking Ledgers through Blockchain Technologies: Future of Transaction Processing and Smart Contracts on the Internet of Money
Gareth William Peters, Efstathios Panayi
cs.CYcs.CRarXiv:1511.05740v12015
Listen, Attend and Spell
William Chan, Navdeep Jaitly, Quoc V. Le +1
cs.CLcs.LGcs.NEarXiv:1508.01211v22015
MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph
Dinghua Li, Chi-Man Liu, Ruibang Luo +2
q-bio.GNarXiv:1409.7208v22014
Thinking Like a Vertex: a Survey of Vertex-Centric Frameworks for Distributed Graph Processing
Robert Ryan McCune, Tim Weninger, Gregory Madey
cs.DCarXiv:1507.04405v12015

Every paper with a summary

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

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

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

Deep learning tools for the measurement of animal behavior in neuroscience

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 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

SplitFS: Reducing Software Overhead in File Systems for Persistent Memory

Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking

Analyzing the Structure of Attention in a Transformer Language Model

CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing

On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection

Kindling the Darkness: A Practical Low-light Image Enhancer

FAHT: An Adaptive Fairness-aware Decision Tree Classifier

Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation

Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks

ReCon: Revealing and Controlling PII Leaks in Mobile Network Traffic

Adversarial Autoencoders

Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters

A C-LSTM Neural Network for Text Classification

Integrating Machine Learning and Multiscale Modeling: Perspectives, Challenges, and Opportunities in the Biological, Biomedical, and Behavioral Sciences

Foveation-based Mechanisms Alleviate Adversarial Examples

A Survey of Binary Code Similarity

Understanding Modern Banking Ledgers through Blockchain Technologies: Future of Transaction Processing and Smart Contracts on the Internet of Money

Listen, Attend and Spell

MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

Thinking Like a Vertex: a Survey of Vertex-Centric Frameworks for Distributed Graph Processing