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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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112,081 to 112,140 of 118,751
Towards Universal Paraphrastic Sentence Embeddings
John Wieting, Mohit Bansal, Kevin Gimpel +1
cs.CLcs.LGarXiv:1511.08198v32015Understanding and Diagnosing Visual Tracking Systems
Naiyan Wang, Jianping Shi, Dit-Yan Yeung +1
cs.CVarXiv:1504.06055v12015Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments
Marc Tonsen, Xucong Zhang, Yusuke Sugano +1
cs.CVarXiv:1511.05768v12015Resnet in Resnet: Generalizing Residual Architectures
Sasha Targ, Diogo Almeida, Kevin Lyman
cs.LGcs.CVcs.NEarXiv:1603.08029v12016Learning Visual Features from Large Weakly Supervised Data
Armand Joulin, Laurens van der Maaten, Allan Jabri +1
cs.CVarXiv:1511.02251v12015How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
Haoxi Zhong, Chaojun Xiao, Cunchao Tu +3
cs.CLarXiv:2004.12158v52020Counter-fitting Word Vectors to Linguistic Constraints
Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson +6
cs.CLcs.LGarXiv:1603.00892v12016A Unified Deep Neural Network for Speaker and Language Recognition
Fred Richardson, Douglas Reynolds, Najim Dehak
cs.CLcs.CVcs.LGarXiv:1504.00923v12015Analysis and Observations from the First Amazon Picking Challenge
Nikolaus Correll, Kostas E. Bekris, Dmitry Berenson +7
cs.ROarXiv:1601.05484v32016AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods
Ozge Mercanoglu Sincan, Hacer Yalim Keles
cs.CVarXiv:2008.00932v22020Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challenges
Praveen Kumar Reddy Maddikunta, Saqib Hakak, Mamoun Alazab +4
eess.SPcs.NIarXiv:2007.12874v12020Summaries:한국어Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla
cs.CVcs.NEarXiv:1511.02680v22015Visual Storytelling
Ting-Hao, Huang, Francis Ferraro +13
cs.CLcs.AIcs.CVarXiv:1604.03968v12016Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi, Yuhao Zhang, Yuhui Zhang +2
cs.CLarXiv:2003.07082v22020Natural Language Inference by Tree-Based Convolution and Heuristic Matching
Lili Mou, Rui Men, Ge Li +4
cs.CLcs.LGarXiv:1512.08422v32015DISC: Deep Image Saliency Computing via Progressive Representation Learning
Tianshui Chen, Liang Lin, Lingbo Liu +2
cs.CVarXiv:1511.04192v22015SketchyCOCO: Image Generation from Freehand Scene Sketches
Chengying Gao, Qi Liu, Qi Xu +3
cs.CVarXiv:2003.02683v52020Millimeter-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:1511.07345v42015Transfer Learning for Low-Resource Neural Machine Translation
Barret Zoph, Deniz Yuret, Jonathan May +1
cs.CLarXiv:1604.02201v12016Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control
Fangyi Zhang, Jürgen Leitner, Michael Milford +2
cs.LGcs.CVcs.ROarXiv:1511.03791v22015A Description Logic Primer
Markus Krötzsch, Frantisek Simancik, Ian Horrocks
cs.AIcs.LOarXiv:1201.4089v32012Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
Pingbo Pan, Zhongwen Xu, Yi Yang +2
cs.CVarXiv:1511.03476v12015A 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:1602.04712v12016Scikit-learn: Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort +16
cs.LGcs.MSarXiv:1201.0490v42012Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Pooya Khorrami, Tom Le Paine, Thomas S. Huang
cs.CVcs.LGcs.NEarXiv:1510.02969v32015A Review of Control Algorithms for Autonomous Quadrotors
Andrew Zulu, Samuel John
eess.SYarXiv:1602.02622v12016Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
Takuya Narihira, Michael Maire, Stella X. Yu
cs.CVarXiv:1512.02311v12015Prediction, dynamics, and visualization of antigenic phenotypes of seasonal influenza viruses
Richard A. Neher, Trevor Bedford, Rodney S. Daniels +2
q-bio.PEarXiv:1510.01195v12015Learning scale-variant and scale-invariant features for deep image classification
Nanne van Noord, Eric Postma
cs.CVarXiv:1602.01255v22016Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
Andreas Veit, Balazs Kovacs, Sean Bell +3
cs.CVarXiv:1509.07473v12015Lipreading with Long Short-Term Memory
Michael Wand, Jan Koutník, Jürgen Schmidhuber
cs.CVcs.CLarXiv:1601.08188v12016Learning to Incorporate Structure Knowledge for Image Inpainting
Jie Yang, Zhiquan Qi, Yong Shi
cs.CVcs.LGeess.IVarXiv:2002.04170v22020qHiPSTER: The Quantum High Performance Software Testing Environment
Mikhail Smelyanskiy, Nicolas P. D. Sawaya, Alán Aspuru-Guzik
quant-phcs.DCarXiv:1601.07195v22016Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han, Huizi Mao, William J. Dally
cs.CVcs.NEarXiv:1510.00149v52015Deep Contrast Learning for Salient Object Detection
Guanbin Li, Yizhou Yu
cs.CVarXiv:1603.01976v12016Priority-Flood: An Optimal Depression-Filling and Watershed-Labeling Algorithm for Digital Elevation Models
Richard Barnes, Clarence Lehman, David Mulla
cs.DSarXiv:1511.04463v12015Fog Computing: Focusing on Mobile Users at the Edge
Tom H. Luan, Longxiang Gao, Zhi Li +3
cs.NIarXiv:1502.01815v32015End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Makoto Miwa, Mohit Bansal
cs.CLcs.LGarXiv:1601.00770v32016Going Deeper in Facial Expression Recognition using Deep Neural Networks
Ali Mollahosseini, David Chan, Mohammad H. Mahoor
cs.NEcs.CVarXiv:1511.04110v12015MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery
Qing Zhu, Cheng Liao, Han Hu +2
cs.CVarXiv:1910.12060v22019Dynamic Pricing and Distributed Energy Management for Demand Response
Liyan Jia, Lang Tong
math.OCarXiv:1601.02319v22016Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
Deepti Ghadiyaram, Alan C. Bovik
cs.CVarXiv:1511.02919v12015The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review
Ivens Portugal, Paulo Alencar, Donald Cowan
cs.SEcs.IRcs.LGarXiv:1511.05263v42015Learning Norms from Stories: A Prior for Value Aligned Agents
Spencer Frazier, Md Sultan Al Nahian, Mark Riedl +1
cs.AIcs.CLcs.LGarXiv:1912.03553v12019Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities
Arshia Rehman, Saeeda Naz, Imran Razzak
stat.OTcs.LGstat.MLarXiv:2004.09010v12020Natural Language Object Retrieval
Ronghang Hu, Huazhe Xu, Marcus Rohrbach +3
cs.CVcs.CLarXiv:1511.04164v32015Grouped Spatial-Temporal Aggregation for Efficient Action Recognition
Chenxu Luo, Alan Yuille
cs.CVarXiv:1909.13130v12019Structured Pruning of Deep Convolutional Neural Networks
Sajid Anwar, Kyuyeon Hwang, Wonyong Sung
cs.NEcs.LGstat.MLarXiv:1512.08571v12015D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu, Aviral Kumar, Ofir Nachum +2
cs.LGstat.MLarXiv:2004.07219v42020THCHS-30 : A Free Chinese Speech Corpus
Dong Wang, Xuewei Zhang
cs.CLcs.SDarXiv:1512.01882v22015Staple: Complementary Learners for Real-Time Tracking
Luca Bertinetto, Jack Valmadre, Stuart Golodetz +2
cs.CVarXiv:1512.01355v22015Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges
S. Li, S. Dragicevic, F. Anton +8
physics.soc-phcs.CYphysics.data-anarXiv:1511.03010v12015Characterizing 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:1501.00960v42015The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey
Patrick Glauner, Jorge Augusto Meira, Petko Valtchev +2
cs.AIarXiv:1606.00626v32016Deep learning tools for the measurement of animal behavior in neuroscience
Mackenzie W. Mathis, Alexander Mathis
cs.CVq-bio.NCq-bio.QMarXiv:1909.13868v22019An Introduction to Convolutional Neural Networks
Keiron O'Shea, Ryan Nash
cs.NEcs.CVcs.LGarXiv:1511.08458v22015SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla
cs.CVcs.LGcs.NEarXiv:1511.00561v32015SourcererCC: Scaling Code Clone Detection to Big Code
Hitesh Sajnani, Vaibhav Saini, Jeffrey Svajlenko +2
cs.SEarXiv:1512.06448v12015Filtered-OFDM - Enabler for Flexible Waveform in The 5th Generation Cellular Networks
Xi Zhang, Ming Jia, Lei Chen +2
cs.ITarXiv:1508.07387v12015Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks
Junyi Pan, Xiaoguang Han, Weikai Chen +2
cs.CVarXiv:1909.00321v12019