2017
Variational Recurrent Adversarial Deep Domain Adaptation
ICLR 2017poster
We study the problem of learning domain invariant representations for time series data while transferring the complex temporal latent dependencies between the domains. Our model termed as Variational Recurrent Adversarial Deep Domain Adaptation (VRADA) is built atop a variational recurrent neural ne…