no code implementations • 13 Mar 2024 • Anastasios Foliadis, Mario H. Castañeda, Richard A. Stirling-Gallacher, Reiner S. Thomä
We also show that the fusion of multiple outputs further benefits from considering the uncertainty of the output of the DL model at each BS.
no code implementations • 26 Oct 2022 • Anastasios Foliadis, Mario H. Castañeda Garcia, Richard A. Stirling-Gallacher, Reiner S. Thomä
To improve transfer learning, we propose a meta learning scheme for training the first part over multiple environments.