Search Constraints

Start Over
Filtering by: Creator Moerman, Kevin M. Remove constraint Creator: Moerman, Kevin M. Contributor Anirudh, Rushil Remove constraint Contributor: Anirudh, Rushil Degree Name Doctor of Philosophy (Ph.D.) Remove constraint Degree Name: Doctor of Philosophy (Ph.D.)

Search Results

  • 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