no code implementations • 12 May 2024 • Guillaume Pourcel, Mirko Goldmann, Ingo Fischer, Miguel C. Soriano
In a Machine Learning setting, the network's parameters are adapted during a training phase to match the requirements of a given task/problem increasing its computational capabilities.
no code implementations • 30 Apr 2020 • Rémi Dromnelle, Erwan Renaudo, Guillaume Pourcel, Raja Chatila, Benoît Girard, Mehdi Khamassi
We present a novel arbitration mechanism between learning systems that explicitly measures performance and cost.