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Filtering by: Creator Miller, Marc Remove constraint Creator: Miller, Marc Contributor Anirudh, Rushil Remove constraint Contributor: Anirudh, Rushil

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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:
    insight- ful explanations to an AI agent’s behavior [Miller, 2019]. We focus on using generated