Learning Transferrable Representations for Unsupervised Domain Adaptation. NeuRIPS, 2016.

Learning Transferrable Representations for Unsupervised Domain Adaptation. NeuRIPS, 2016.

https://papers.nips.cc/paper/6360-learning-transferrable-representations-for-unsupervised-domain-adaptation.pdf

In embodied AI applications such as smart homes, deep learning still suffers from generalization issues under the presence of a domain shift between the training and the test data distribution.

This paper incorporates the transductive target inference by jointly solving for an asymmetric similarity metric and the optimal transductive target label assignment.