Domain Adaptation

A machine learning technique that enables models trained on data from one domain (such as web interfaces) to perform well on a different but related domain (such as mobile app interfaces). Domain adaptation is valuable for accessibility because it allows models trained on platforms with rich semantic annotations, like the web with its HTML and ARIA attributes, to transfer that knowledge to platforms where accessibility metadata is scarce or absent, reducing the need for costly manual annotation of training data.