Explore the influential samples in domain generalization

Domain Generalization (DG) aims to learn a model that generalizes in testing domains unseen from training. All DG methods assume that the domain-invariant features can be learned by discarding the domain-specific ones. However, in practice, the learned invariant features usually contain "spurio...

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Bibliographic Details
Main Author: Wu, Zike
Other Authors: Hanwang Zhang
Format: Thesis-Master by Research
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/172753
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Institution: Nanyang Technological University
Language: English