CASE OF SIX-YEAR DISEASE-FREE SURVIVAL WITH UNDIFFERENTIATED CARCINOMA OF THE PANCREAS


Instance-Level Embedding Adaptation for Few-Shot Learning

Few-shot learning aims to recognize novel categories from read more just a few labeled instances.Existing metric learning-based approaches perform classifications by nearest neighbor search in the embedding space.The embedding function is a deep neural network and usually shared by all novel categories.However, these brute approaches lack a fast ad

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