91 citations · 93 across the 5 of their papers we have counts for
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cs.CV2020★ 2 cited
Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations
Gabriëlle Ras, Luca Ambrogioni, Pim Haselager +2
In this paper we introduce the temporally factorized 3D convolution (3TConv) as an interpretable alternative to the regular 3D convolution (3DConv). In a 3TConv the 3D convolutiona…
cs.LG2020★ 91 cited
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras, Ning Xie, Marcel van Gerven +1
Deep neural networks (DNNs) have become a proven and indispensable machine learning tool. As a black-box model, it remains difficult to diagnose what aspects of the model's input d…