Review for NeurIPS paper: A Dictionary Approach to Domain-Invariant Learning in Deep Networks

Additional Feedback: Some issues need to be addressed: 1) Missing baselines. Recent studies [1-2] have shown that domain-specific BN may improve the adaptation performance. So why in Basic Branching and DAFD, all BNs are shared across domains? Maybe for DAFD, it is reasonable because it assumes filter decomposition could'correct' the shifts. But for the Basic Branching, not sharing BN across domains may be helpful.