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Filtering by: Creator Smith, James E. (James Edward) Contributor Li, Fuxin Degree Field Artificial Intelligence

1. 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