no code implementations • WS 2018 • Emma Kerinec, Chlo{\'e} Braud, Anders S{\o}gaard
This work aims to contribute to our understanding of \textit{when} multi-task learning through parameter sharing in deep neural networks leads to improvements over single-task learning.