<ul><li>Anchor Data Augmentation (ADA) is a domain-agnostic method for enhancing regression models.</li><li>ADA is inspired by Anchor Regression (AR) and does not require previous knowledge about data invariances or manually engineered transformations.</li><li>Unlike existing domain-agnostic data augmentation methods, ADA does not require training of an expensive generative model.</li><li>ADA can be readily applied to regression problems and its effect on performance remains minimal.</li></ul>

Anchor Data Augmentation (ADA): A Domain-Agnostic Method for Enhancing Regression Models

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