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Table 1: Comparison of GRL applied to fundament network (FADA) and HADAUDA A C A P A R Avg MSDA Clipart Infograph Painting Avg SSDA(1

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We apply gradient reversal layer (GRL) to the single fundament network (FADA). Some results of FADA could be found in Table 1, which performs worse than HADA by a large margin. For example, on A C on Office-Home, its accuracy is 30.1 compared to 56.8 by HADA. The experiment settings and hyper-parameters follow [30][33]. So we emphasize that early stopping is not used.

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