Source Hypothesis Transfer
Source Hypothesis Transfer
**Source Hypothesis Transfer**, or **SHOT**, is a representation learning framework for unsupervised domain adaptation. SHOT freezes the classifier module (hypothesis) of the source model and learns the target-specific feature extraction module by exploiting both information maximization and self-supervised pseudo-labeling to implicitly align representations from the target domains to the source hypothesis.
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
https://paperswithcode.com/paper/do-we-really-need-to-access-the-source-data
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation