Now showing items 1-2 of 2

    • Class Based Strategies for Understanding Neural Networks 

      Kumar, Devinder (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 

      Meyer, Robbie (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 ...

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