Appendix: Lifelong Domain Adaptation via Consolidated Internal Distribution

In Figure 1, we see the high-level description of the lifelong UDA approach. Lifelong learning is an iterative process in which the model is updated persistently. Upon training on a source domain with labeled data, the input data is transformed into a multi-modal distribution in the embedding space.