However, for the domain divergence objective, the common part contributes positively (i.e., tries to minimize divergence) whereas the source specific part contributes negatively (i.e., tries to maximize divergence).
the common representation acquires domain independence and generalizable classification abilities while the source specific representation remains domain-specific and highly discriminating for the in-domain classification task.