Word Embedding Distribution Propagation Graph Network for Few-Shot Learning

Few-shot learning (FSL) is of great significance to the field of machine learning. The ability to learn and generalize using a small number of samples is an obvious distinction between artificial intelligence and humans. In the FSL domain, most graph neural networks (GNNs) focus on transferring labe...

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Bibliografiska uppgifter

Huvudupphov:	Chaoran Zhu, Ling Wang, Cheng Han
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2022-03-01
Serie:	Sensors
Ämnen:	few-shot learning graph neural network semantic information attention mechanism Mahalanobis distance FReLU
Länkar:	https://www.mdpi.com/1424-8220/22/7/2648
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