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stat.ML2018
Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation
Jeroen Manders, Twan van Laarhoven, Elena Marchiori
We consider unsupervised domain adaptation: given labelled examples from a source domain and unlabelled examples from a related target domain, the goal is to infer the labels of ta…
stat.ML2018
Domain Adaptation with Randomized Expectation Maximization
Twan van Laarhoven, Elena Marchiori
Domain adaptation (DA) is the task of classifying an unlabeled dataset (target) using a labeled dataset (source) from a related domain. The majority of successful DA methods try to…