Transfer Learning

Domain Adaptation is a machine learning technique that adjusts models to perform well in different but related contexts.

A Frozen Encoder is a machine learning model where the parameters are fixed to retain learned representations.

Migration Learning is a method where knowledge gained in one domain helps improve learning in another.