
A Practical Guide to Graph Neural Networks
Graph neural networks (GNNs) have recently grown in popularity in the fi...
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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 stateofthe...
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Towards a Mathematical Understanding of Neural NetworkBased Machine Learning: what we know and what we don't
The purpose of this article is to review the achievements made in the la...
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Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition
This paper proposes to use Fast Fourier Transformationbased UNet (a re...
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Probabilistic Machine Learning for Healthcare
Machine learning can be used to make sense of healthcare data. Probabili...
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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...
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pymia: A Python package for data handling and evaluation in deep learningbased medical image analysis
Background and Objective: Deep learning enables tremendous progress in m...
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Efficient Kernel Transfer in Knowledge Distillation
Knowledge distillation is an effective way for model compression in deep...
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Ethical Machine Learning in Health Care
The use of machine learning (ML) in health care raises numerous ethical ...
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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...
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Automated Pancreas Segmentation Using Multiinstitutional Collaborative Deep Learning
The performance of deep learningbased methods strongly relies on the nu...
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