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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13,561 to 13,620 of 118,437

  1. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

    Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein

    cs.CVcs.AIarXiv:1906.01618v22019
  2. Impact of Data Normalization on Deep Neural Network for Time Series Forecasting

    Samit Bhanja, Abhishek Das

    cs.LGstat.MLarXiv:1812.05519v22018
  3. Texture Fields: Learning Texture Representations in Function Space

    Michael Oechsle, Lars Mescheder, Michael Niemeyer +2

    cs.CVarXiv:1905.07259v12019
  4. An Overview of 3GPP Release-15 Study on Enhanced LTE Support for Connected Drones

    Siva D. Muruganathan, Xingqin Lin, Helka-Liina Maattanen +4

    cs.NIarXiv:1805.00826v22018
  5. Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification

    Cheng Deng, Yumeng Xue, Xianglong Liu +2

    cs.CVarXiv:1904.02454v12019
  6. End-to-end Learning of Multi-sensor 3D Tracking by Detection

    Davi Frossard, Raquel Urtasun

    cs.CVcs.LGcs.ROarXiv:1806.11534v12018
  7. Deep Positron: A Deep Neural Network Using the Posit Number System

    Zachariah Carmichael, Hamed F. Langroudi, Char Khazanov +3

    cs.DCcs.LGcs.NEarXiv:1812.01762v22018
  8. Exploring Disentangled Feature Representation Beyond Face Identification

    Yu Liu, Fangyin Wei, Jing Shao +3

    cs.CVcs.AIarXiv:1804.03487v12018
  9. Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search

    Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi

    cs.IRcs.LGarXiv:1905.01989v32019
  10. Interpretable Neural Predictions with Differentiable Binary Variables

    Jasmijn Bastings, Wilker Aziz, Ivan Titov

    cs.CLarXiv:1905.08160v22019
  11. BA-Net: Dense Bundle Adjustment Network

    Chengzhou Tang, Ping Tan

    cs.CVarXiv:1806.04807v32018
  12. Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization

    H. T. Kung, Bradley McDanel, Sai Qian Zhang

    cs.LGcs.ARstat.MLarXiv:1811.04770v12018
  13. ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals

    Emanuele Palazzolo, Jens Behley, Philipp Lottes +2

    cs.ROarXiv:1905.02082v32019
  14. Unsupervised Deep Learning by Neighbourhood Discovery

    Jiabo Huang, Qi Dong, Shaogang Gong +1

    cs.CVarXiv:1904.11567v32019
  15. Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition

    Justin Fu, Avi Singh, Dibya Ghosh +2

    cs.LGstat.MLarXiv:1805.11686v32018
  16. Orbital Angular Momentum Waves: Generation, Detection and Emerging Applications

    Rui Chen, Hong Zhou, Marco Moretti +2

    physics.app-pharXiv:1903.07818v32019
  17. Neural source-filter waveform models for statistical parametric speech synthesis

    Xin Wang, Shinji Takaki, Junichi Yamagishi

    eess.AScs.SDstat.MLarXiv:1904.12088v22019
  18. Reconfigurable Intelligent Surface-Based Index Modulation: A New Beyond MIMO Paradigm for 6G

    Ertugrul Basar

    cs.ITeess.SParXiv:1904.06704v32019
  19. PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems

    Yunseong Lee, Alberto Scolari, Byung-Gon Chun +3

    cs.LGcs.DCstat.MLarXiv:1810.06115v12018
  20. Modeling the Random Orientation of Mobile Devices: Measurement, Analysis and LiFi Use Case

    Mohammad Dehghani Soltani, Ardimas Andi Purwita, Zhihong Zeng +2

    cs.ITarXiv:1805.07999v42018
  21. Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines

    Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon +4

    cs.CVcs.GRarXiv:1905.00889v12019
  22. Metrics for Graph Comparison: A Practitioner's Guide

    Peter Wills, Francois G. Meyer

    stat.APcs.SIphysics.data-anarXiv:1904.07414v22019
  23. Model-Based Reinforcement Learning for Atari

    Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos +11

    cs.LGstat.MLarXiv:1903.00374v52019
  24. Towards VQA Models That Can Read

    Amanpreet Singh, Vivek Natarajan, Meet Shah +5

    cs.CLcs.CVcs.LGarXiv:1904.08920v22019
  25. Customer churn prediction in telecom using machine learning and social network analysis in big data platform

    Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa

    cs.CYcs.DCcs.LGarXiv:1904.00690v12019
  26. Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN

    Krzysztof Rusek, José Suárez-Varela, Albert Mestres +2

    cs.NIarXiv:1901.08113v32019
  27. Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system

    Keelin Murphy, Shifa Salman Habib, Syed Mohammad Asad Zaidi +10

    eess.IVcs.CVarXiv:1903.03349v22019
  28. Deep Air Quality Forecasting Using Hybrid Deep Learning Framework

    Shengdong Du, Tianrui Li, Yan Yang +1

    cs.LGstat.MLarXiv:1812.04783v32018
  29. Deep Predictive Video Compression with Bi-directional Prediction

    Woonsung Park, Munchurl Kim

    cs.CVarXiv:1904.02909v12019
  30. Augmented Neural ODEs

    Emilien Dupont, Arnaud Doucet, Yee Whye Teh

    stat.MLcs.LGarXiv:1904.01681v32019
  31. Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++

    David Acuna, Huan Ling, Amlan Kar +1

    cs.CVarXiv:1803.09693v12018
  32. CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity

    Aditya Bhatt, Daniel Palenicek, Boris Belousov +4

    cs.LGstat.MLarXiv:1902.05605v42019
  33. Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

    Sebastian Raschka

    cs.LGstat.MLarXiv:1811.12808v32018
  34. StoryGAN: A Sequential Conditional GAN for Story Visualization

    Yitong Li, Zhe Gan, Yelong Shen +6

    cs.CVarXiv:1812.02784v22018
  35. Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

    Nan Wu, Jason Phang, Jungkyu Park +29

    cs.LGcs.CVstat.MLarXiv:1903.08297v12019
  36. FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments

    Jesus Tordesillas, Brett T. Lopez, Jonathan P. How

    cs.ROarXiv:1903.03558v32019
  37. ATOM: Accurate Tracking by Overlap Maximization

    Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan +1

    cs.CVarXiv:1811.07628v22018
  38. Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks

    Mohammad Saidur Rahman, Payap Sirinam, Nate Mathews +2

    cs.CRarXiv:1902.06421v42019
  39. Mesh-TensorFlow: Deep Learning for Supercomputers

    Noam Shazeer, Youlong Cheng, Niki Parmar +9

    cs.LGcs.DCstat.MLarXiv:1811.02084v12018
  40. Dynamic Metasurface Antennas for Uplink Massive MIMO Systems

    Nir Shlezinger, Or Dicker, Yonina C. Eldar +3

    cs.ITarXiv:1901.01458v22019
  41. The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems

    Robert Krajewski, Julian Bock, Laurent Kloeker +1

    cs.CVcs.AIcs.IRarXiv:1810.05642v12018
  42. A System for Acquiring, Processing, and Rendering Panoramic Light Field Stills for Virtual Reality

    Ryan S. Overbeck, Daniel Erickson, Daniel Evangelakos +2

    cs.GRarXiv:1810.08860v12018
  43. One-Bit MUSIC

    Xiaodong Huang, Bin Liao

    eess.SParXiv:1901.05109v12019
  44. Spatial-Temporal Person Re-identification

    Guangcong Wang, Jianhuang Lai, Peigen Huang +1

    cs.CVarXiv:1812.03282v12018
  45. Learning Shape Priors for Single-View 3D Completion and Reconstruction

    Jiajun Wu, Chengkai Zhang, Xiuming Zhang +3

    cs.CVcs.AIarXiv:1809.05068v12018
  46. Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety

    Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka

    cs.ROarXiv:1903.00640v22019
  47. The enhanced X-ray Timing and Polarimetry mission - eXTP

    ShuangNan Zhang, Andrea Santangelo, Marco Feroci +147

    astro-ph.IMastro-ph.HEarXiv:1812.04020v12018
  48. Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network

    Qiang Zhang, Qiangqiang Yuan, Jie Li +3

    cs.CVarXiv:1810.00495v32018
  49. Scene Text Detection with Supervised Pyramid Context Network

    Enze Xie, Yuhang Zang, Shuai Shao +3

    cs.CVarXiv:1811.08605v12018
  50. Combinatorial Bayesian Optimization using the Graph Cartesian Product

    Changyong Oh, Jakub M. Tomczak, Efstratios Gavves +1

    stat.MLcs.LGarXiv:1902.00448v22019
  51. Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving

    Peiliang Li, Tong Qin, Shaojie Shen

    cs.CVarXiv:1807.02062v32018
  52. SOT-MRAM 300mm integration for low power and ultrafast embedded memories

    K. Garello, F. Yasin, S. Couet +16

    cond-mat.mes-hallcs.ETphysics.app-pharXiv:1810.10356v12018
  53. Fast Online Object Tracking and Segmentation: A Unifying Approach

    Qiang Wang, Li Zhang, Luca Bertinetto +2

    cs.CVarXiv:1812.05050v22018
  54. Bilevel Programming for Hyperparameter Optimization and Meta-Learning

    Luca Franceschi, Paolo Frasconi, Saverio Salzo +2

    stat.MLcs.LGarXiv:1806.04910v22018
  55. Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data

    Yuanzhi Li, Yingyu Liang

    cs.LGstat.MLarXiv:1808.01204v32018
  56. Adaptive Neural Trees

    Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander +2

    cs.NEcs.CVcs.LGarXiv:1807.06699v52018
  57. NimbRo Rescue: Solving Disaster-Response Tasks through Mobile Manipulation Robot Momaro

    Max Schwarz, Tobias Rodehutskors, David Droeschel +10

    cs.ROarXiv:1810.01345v22018
  58. A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations

    Biswajit Paria, Kirthevasan Kandasamy, Barnabás Póczos

    cs.LGstat.MLarXiv:1805.12168v32018
  59. Three dimensional Deep Learning approach for remote sensing image classification

    Amina Ben Hamida, A Benoit, Patrick Lambert +1

    cs.CVcs.LGstat.MLarXiv:1806.05824v12018
  60. DeepWrinkles: Accurate and Realistic Clothing Modeling

    Zorah Laehner, Daniel Cremers, Tony Tung

    cs.CVarXiv:1808.03417v12018