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Filtering by: Creator Markle, Bradley R. Remove constraint Creator: Markle, Bradley R. Contributor Li, Fuxin Remove constraint Contributor: Li, Fuxin Degree Name Doctor of Philosophy (Ph.D.) Remove constraint Degree Name: Doctor of Philosophy (Ph.D.)

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  • Characterizing and Addressing Dataset Shift with Deep Learning

    Creator:
    Olson, Matthew L.
    Abstract:
    This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
    Resource Type:
    Dissertation
    Full Text:
    vs. StyleGAN-R. And CelebA-M is a control dataset we create that does not contain glasses, ties and