no code implementations • 1 May 2022 • Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz
In recent years, there has been an increasing interest in exploiting logically specified background knowledge in order to obtain neural models (i) with a better performance, (ii) able to learn from less data, and/or (iii) guaranteed to be compliant with the background knowledge itself, e. g., for safety-critical applications.
