A Survey of Unsupervised Deep Domain Adaptation

6 Dec 2018 Garrett Wilson Diane J. Cook

Deep learning has produced state-of-the-art results for a variety of tasks. While such approaches for supervised learning have performed well, they assume that training and testing data are drawn from the same distribution, which may not always be the case... (read more)

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