Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation

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Abstract:

Unsupervised domain adaptation (UDA) aims to address the domain-shift problem between a labeled source domain and an unlabeled target domain. Many efforts have been made to address the mismatch between the distributions of training and testing data, but unfortunately, they ignore the task-oriented information across domains and are infl...More

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