Optimizing Few-Shot Learning Based on Variational Autoencoders
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DOI: 10.3390/e23111390
Abstract: Despite the importance of few-shot learning, the lack of labeled training data in the real world makes it extremely challenging for existing machine learning methods because this limited dataset does not well represent the data… read more here.
Keywords: shot learning; based variational; shot; variational autoencoders ... See more keywords