Discrepant Semantic Diffusion Boosts Transfer Learning Robustness
Transfer learning could improve the robustness and generalization of the model, reducing potential privacy and security risks. It operates by fine-tuning a pre-trained model on downstream datasets. This process not only enhances the model’s capacity to acquire generalizable features but also ensures...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/24/5027 |