2 citations · 3 across the 4 of their papers we have counts for
1 paper · 1 filter
Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
Robust validation metrics remain essential in contemporary deep learning, not only to detect overfitting and poor generalization, but also to monitor training dynamics. In the supe…