Towards robust inference against distribution shifts in computer vision

After a decade of prosperity, the development of machine learning based on deep neural networks (DNNs) seems to reach a new turning point. A variety of tasks and fields have proved that recklessly feeding a massive volume of data and increasing the model capacity would no longer bring us a panacea f...

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Bibliographic Details
Main Author: Tang, Kaihua
Other Authors: Zhang Hanwang
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/154119
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Institution: Nanyang Technological University
Language: English