'When is a task considered few-shot learning?
When reading about few-shot learning, I can never seem to find an exact definition. When the concept is explained, it is often done by saying something along the lines of 'using few data samples'.
Is there a precise definition of few-shot learning, or when a task is considered few-shot learning? When the term 'N-way-K-shot learning' is used, are there any boundaries on which values N and K can have?
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