Graph embedding-based heterogeneous domain adaptation with domain-invariant feature learning and distributional order preserving

Wenxu Wang; Zhenbo Li; Weiran Li

doi:10.1016/j.neunet.2023.11.048

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Graph embedding-based heterogeneous domain adaptation with domain-invariant feature learning and distributional order preserving

Wenxu Wang Zhenbo Li Weiran Li

Year: 2023 Journal: Neural Networks Vol: 170 Pages: 427-440 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2023.11.048

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Keywords:

Interpretability Discriminative model Computer science Embedding Artificial intelligence Graph embedding Robustness (evolution) Pattern recognition (psychology) Graph Domain adaptation Theoretical computer science Machine learning Classifier (UML)

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Graph embedding-based heterogeneous domain adaptation with domain-invariant feature learning and distributional order preserving

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