Multi-source Distilling Domain Adaptation
AAAI, pp. 12975-12983, 2020.
Deep neural networks suffer from performance decay when there is domain shift between the labeled source domain and unlabeled target domain, which motivates the research on domain adaptation (DA). Conventional DA methods usually assume that the labeled data is sampled from a single source distribution. However, in practice, labeled data...More
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