Target Consistency for Domain Adaptation: when Robustness meets Transferability

25 Jun 2020Yassine OualiVictor BouvierMyriam TamiCéline Hudelot

Learning Invariant Representations has been successfully applied for reconciling a source and a target domain for Unsupervised Domain Adaptation. By investigating the robustness of such methods under the prism of the cluster assumption, we bring new evidence that invariance with a low source risk does not guarantee a well-performing target classifier... (read more)

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