Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning

28 Feb 2017Werner ZellingerThomas GrubingerEdwin LughoferThomas NatschlägerSusanne Saminger-Platz

The learning of domain-invariant representations in the context of domain adaptation with neural networks is considered. We propose a new regularization method that minimizes the discrepancy between domain-specific latent feature representations directly in the hidden activation space... (read more)

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