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Few-Shot Learning - What is the difference between metric learning and few shot learning?
Answer
One difficulty in machine learning is few-shot learning, which requires learning new categories from very few examples. Learning an embedding space that optimizes learning for few-shot samples is a key component of few-shot learning, and one method used for this is metric learning.
