Towards robust deep learning models against corruptions

This thesis focuses on the crucial challenge of enhancing the resilience of deep learn- ing models against natural corruptions. Although deep learning models have the potential to bring about significant advancements in various fields, they are susceptible to failure when faced with scenarios that d...

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Bibliographic Details
Main Author: Yi, Chenyu
Other Authors: Alex Chichung Kot
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173647
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Institution: Nanyang Technological University
Language: English
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