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    • 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 ...
    • Correlated Noise in Deep Convolutional Neural Networks 

      Dutta, Shamak (University of Waterloo, 2019-08-28)
      This thesis explores one of the differences between the visual cortex and deep convolutional neural networks, namely, correlated fluctuations of neuron response strength. First, we describe the similarities and differences ...
    • Studying CNN representations through activation dimensionality reduction and visualization 

      Dey, Nolan Simran (University of Waterloo, 2021-10-01)
      The field of explainable artificial intelligence (XAI) aims to explain the decisions of DNNs. Complete DNN explanations accurately reflect the inner workings of the DNN while interpretable explanations are easy for humans ...

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