TL;DR: This blog focuses on the topic of Domain Adaptation, specifically in the unsupervised case and classification task. However, it does not cover semi-domain adaptation at this time. Domain Adaptation is a common challenge in machine learning that arises when there is a distribution mismatch between the training and testing data. This blog post is inspired by the Stanford CS330 Deep Multi-Task & Meta Learning lecture series, specifically Lecture 13 and 14....