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Filtering by: Creator Hoover, Mark D. Remove constraint Creator: Hoover, Mark D. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Degree Field Artificial Intelligence Remove constraint Degree Field: Artificial Intelligence Peer Reviewed No Remove constraint Peer Reviewed: No

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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:
    overview of our architecture, which consists of the encoder 𝐸 , gen- erator 𝐺, discriminator 𝐷 and pre