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stat.ML2018★ 11 cited
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★ 4 cited
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…