Adaptive Hard Parameter Sharing Method Based on Multi-Task Deep Learning

Adaptive Hard Parameter Sharing Method Based on Multi-Task Deep Learning

Multi-task learning (MTL) improves the performance achieved on each task by exploiting the relevant information between tasks. At present, most of the mainstream deep MTL models are based on hard parameter sharing mechanisms, which can reduce the risk of model overfitting. However, negative knowledg...

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Bibliographic Details
Main Authors: Hongxia Wang, Xiao Jin, Yukun Du, Nan Zhang, Hongxia Hao
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Mathematics
Subjects:
multi-task learning
continuous gradient difference threshold
warm-up
training iteration threshold
information sharing
adaptive nodes
Online Access:https://www.mdpi.com/2227-7390/11/22/4639

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