Example: bankruptcy
Search results with tag "Unsupervised domain adaptation by"
Unsupervised Domain Adaptation by Backpropagation
proceedings.mlr.pressadaptation approaches is the ability to learn a mapping be-tween domains in the situation when the target domain data are either fully unlabeled (unsupervised domain annota-tion) or have few labeled samples (semi-supervised domain adaptation). Below, we focus on the harder unsupervised case, although the proposed approach can be generalized to