Many Task Learning With Task Routing

Typical multi-task learning (MTL) methods rely on architectural adjustments and a large trainable parameter set to jointly optimize over several tasks. However, when the number of tasks increases so do the complexity of the architectural adjustments and resource requirements. In this paper, we intro...

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Bibliographic Details
Main Authors: Strezoski, Gjorgji, Noord, Nanne, Worring, Marcel
Format: Conference Proceeding
Language:English
Subjects:
Adaptation models
Birds
Computational modeling
Robustness
Routing
Task analysis
Training
Online Access:Request full text
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