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Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. (arXiv:2209.04594v1 [cs.LG])
Sept. 13, 2022, 1:11 a.m. | Toshimitsu Aritake, Hideitsu Hino
cs.LG updates on arXiv.org arxiv.org
Domain adaptation aims to transfer knowledge of labeled instances obtained
from a source domain to a target domain to fill the gap between the domains.
Most domain adaptation methods assume that the source and target domains have
the same dimensionality. Methods that are applicable when the number of
features is different in each domain have rarely been studied, especially when
no label information is given for the test data obtained from the target
domain. In this paper, it is assumed …
More from arxiv.org / cs.LG updates on arXiv.org
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