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Maximum Roaming Multi-Task Learning

Published in Proceedings of the AAAI Conference on Artificial Intelligence • May 18, 2021
NobleIDNI5P26W17R21S96
Authors:
Lucas Pascal
,
Pietro Michiardi
,
Xavier Bost

Abstract

Multi-task learning has gained popularity due to the advantages it provides with respect to resource usage and performance. Nonetheless, the joint optimization of parameters with respect to multiple tasks remains an active research topic. Sub-partitioning the parameters between different tasks has p...

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