Unsupervised Domain Adaptation with Random Walks on Target Labelings

16 Jun 2017Twan van LaarhovenElena Marchiori

Unsupervised Domain Adaptation (DA) is used to automatize the task of labeling data: an unlabeled dataset (target) is annotated using a labeled dataset (source) from a related domain. We cast domain adaptation as the problem of finding stable labels for target examples... (read more)

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