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COVID-19 Image Data Collection

This paper describes the initial COVID-19 open image data collection. It...
03/25/2020 ∙ by Joseph Paul Cohen, et al. ∙ 163 ∙ share

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COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images

The COVID-19 pandemic continues to have a devastating effect on the heal...
03/22/2020 ∙ by Linda Wang, et al. ∙ 121 ∙ share

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Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

A common approach to define convolutions on meshes is to interpret them ...
03/11/2020 ∙ by Pim de Haan, et al. ∙ 115 ∙ share

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Adaptive Explainable Neural Networks (AxNNs)

While machine learning techniques have been successfully applied in seve...
04/05/2020 ∙ by Jie Chen, et al. ∙ 97 ∙ share

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A Metric Learning Reality Check

Deep metric learning papers from the past four years have consistently c...
03/18/2020 ∙ by Kevin Musgrave, et al. ∙ 85 ∙ share

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COVID-CT-Dataset: A CT Scan Dataset about COVID-19

CT scans are promising in providing accurate, fast, and cheap screening ...
03/30/2020 ∙ by Jinyu Zhao, et al. ∙ 78 ∙ share

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BayesFlow: Learning complex stochastic models with invertible neural networks

Estimating the parameters of mathematical models is a common problem in ...
03/13/2020 ∙ by Stefan T. Radev, et al. ∙ 77 ∙ share

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Masked Face Recognition Dataset and Application

In order to effectively prevent the spread of COVID-19 virus, almost eve...
03/20/2020 ∙ by Zhongyuan Wang, et al. ∙ 77 ∙ share

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A Survey of Deep Learning for Scientific Discovery

Over the past few years, we have seen fundamental breakthroughs in core ...
03/26/2020 ∙ by Maithra Raghu, et al. ∙ 76 ∙ share

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Distillating Knowledge from Graph Convolutional Networks

Existing knowledge distillation methods focus on convolutional neural ne...
03/23/2020 ∙ by Yiding Yang, et al. ∙ 70 ∙ share

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GAN Compression: Efficient Architectures for Interactive Conditional GANs

Conditional Generative Adversarial Networks (cGANs) have enabled control...
03/19/2020 ∙ by Muyang Li, et al. ∙ 69 ∙ share

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