no code implementations • 27 Jun 2022 • Bruno Casella, Alessio Barbaro Chisari, Sebastiano Battiato, Mario Valerio Giuffrida
The proposed aggregation loss allows our model to learn how trained deep network parameters can be aggregated with an aggregation operator.