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Few-Shot Learning - What is the difference between metric learning and few shot learning?


Few-shot learning is a machine learning challenge where new categories are learned from a small number of samples. Metric learning is one technique used in few-shot learning, which involves learning an embedding space that makes learning efficient for few-shot samples.