Browsing Systems Design Engineering by Subject "fairness"
Now showing items 1-2 of 2
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Class Based Strategies for Understanding Neural Networks
(University of Waterloo, 2020-02-07)One of the main challenges for broad adoption of deep learning based models such as Convolutional Neural Networks (CNN), is the lack of understanding of their decisions. In many applications, a simpler, less capable model ... -
Fair Compression of Machine Learning Vision Systems
(University of Waterloo, 2023-09-01)Model pruning is a simple and effective method for compressing neural networks. By identifying and removing the least influential parameters of a model, pruning is able to transform networks into smaller, faster networks ...