Abstract: Continual zero-shot learning (CZSL) aims to develop a model that accumulates historical knowledge to recognize unseen tasks, while eliminating catastrophic forgetting for seen tasks when ...
Abstract: Feature sparse problem is commonly existing in patient similarity calculation task with clinical data, to track which, some approaches have been proposed to use Graph Neural Network (GNN) to ...
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