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Filtering by: Creator Remcho, Vincent T. Remove constraint Creator: Remcho, Vincent T. Contributor Li, Fuxin Remove constraint Contributor: Li, Fuxin Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • Leveraging Structures of the Data in Deep Learning

    Creator:
    Li, Xingyi
    Abstract:
    The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...
    Resource Type:
    Dissertation
    Full Text:
    (ln d)1/2 max t,t′  N∑ i=1  m∑ j=1 xijt − m∑ j=1 xijt′ 21/2 (2.15) Putting those

  • 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:
    comparing models with different properties on the same dataset as shown on the bottom right for StyleGAN3-T