no code implementations • 25 Mar 2020 • Ali Senhaji, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis
The most common approach in multi-domain learning is to form a domain agnostic model, the parameters of which are shared among all domains, and learn a small number of extra domain-specific parameters for each individual new domain.
