Accommodating Multiple Tasks’ Disparities With Distributed Knowledge-Sharing Mechanism
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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