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Learning Sparse Task Relations in Multi-Task Learning

Published in Proceedings of the AAAI Conference on Artificial Intelligence • Feb 13, 2017
NobleIDNI7P11W58R34S25
Authors:
Yu Zhang
,
Qiang Yang

Abstract

In multi-task learning, when the number of tasks is large, pairwise task relations exhibit sparse patterns since usually a task cannot be helpful to all of the other tasks and moreover, sparse task relations can reduce the risk of overfitting compared with the dense ones. In this paper, we focus on ...

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