LAUSR

Accommodating Multiple Tasks’ Disparities With Distributed Knowledge-Sharing Mechanism

Sign Up to like & get
recommendations!
1 Published in 2022 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2020.3002911

Abstract: Deep multitask learning (MTL) shares beneficial knowledge across participating tasks, alleviating the impacts of extreme learning conditions on their performances such as the data scarcity problem. In practice, participators stemming from different domain sources often… read more here.

Keywords: accommodating multiple; tasks disparities; knowledge sharing; knowledge ... See more keywords