Thomas Natschläger

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

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 domain-specific latent feature representations directly in the hidden activation space. Although some standard distribut…