Evaluating & enhancing deep learning systems via out-of-distribution detection

Deep Learning (DL) is continuously adopted in many industrial applications at a rapidly increasing pace. This includes safety- and security-critical applications where errors in the DL system can lead to massive or even fatal losses. With the rise of DL adoption, trustworthy AI initiatives have be...

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Bibliographic Details
Main Author: Christopher, Berend David
Other Authors: Liu Yang
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/162032
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Institution: Nanyang Technological University
Language: English
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