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Soft Parameter Sharing

A parameter sharing paradigm in multi-task learning in which each task has its own independent network branch, and the parameters are constrained to remain close through regularization terms or cross-task attention. It offers high flexibility but incurs greater parameter and tuning costs.

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Oct 22

Soft Parameter Sharing maintains an independent network branch for each task and constrains the branch parameters to be close via regularization terms or cross-task attention, offering greater flexibility but higher parameter and tuning costs.

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