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A Practical Guide to Graph Neural Networks

Graph neural networks (GNNs) have recently grown in popularity in the fi...
10/11/2020 ∙ by Isaac Ronald Ward, et al. ∙ 335 ∙ share

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A Survey of the State of Explainable AI for Natural Language Processing

Recent years have seen important advances in the quality of state-of-the...
10/01/2020 ∙ by Marina Danilevsky, et al. ∙ 321 ∙ share

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Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't

The purpose of this article is to review the achievements made in the la...
09/22/2020 ∙ by Weinan E, et al. ∙ 270 ∙ share

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Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition

This paper proposes to use Fast Fourier Transformation-based U-Net (a re...
10/08/2020 ∙ by Varsha Nair, et al. ∙ 130 ∙ share

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Probabilistic Machine Learning for Healthcare

Machine learning can be used to make sense of healthcare data. Probabili...
09/23/2020 ∙ by Irene Y. Chen, et al. ∙ 113 ∙ share

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Computing Graph Neural Networks: A Survey from Algorithms to Accelerators

Graph Neural Networks (GNNs) have exploded onto the machine learning sce...
09/30/2020 ∙ by Sergi Abadal, et al. ∙ 103 ∙ share

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pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis

Background and Objective: Deep learning enables tremendous progress in m...
10/07/2020 ∙ by Alain Jungo, et al. ∙ 93 ∙ share

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Efficient Kernel Transfer in Knowledge Distillation

Knowledge distillation is an effective way for model compression in deep...
09/30/2020 ∙ by Qi Qian, et al. ∙ 77 ∙ share

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Ethical Machine Learning in Health Care

The use of machine learning (ML) in health care raises numerous ethical ...
09/22/2020 ∙ by Irene Y. Chen, et al. ∙ 75 ∙ share

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Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation

The network embedding problem that maps nodes in a graph to vectors in E...
09/22/2020 ∙ by Ping-En Lu, et al. ∙ 75 ∙ share

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Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning

The performance of deep learning-based methods strongly relies on the nu...
09/28/2020 ∙ by Pochuan Wang, et al. ∙ 71 ∙ share

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