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  DA (Domain Adaptation) Information DA (Domain Adaptation) is a subfield of machine learning that aims to adapt models trained on a source domain to perform well on a target domain, where the distributions of the source and target data differ. The primary goal of DA is to improve the generalization of a model to new, unseen data, especially in scenarios where the target data is limited or expensive to collect. There ar.. Zettelkasten/Terminology Information 2023. 3. 18.