We obtain T by minimizing the least-square difference in T captures the retrofitting operation, and allows us to modify the test subjects' representations as if age and gender were known, despite the absence of class information.
by applying T to the matrix of the author embeddings in the unlabeled test set D test , we obtain a retrofitted version D test that preserves the transformation learned on the training data.