one-shot learning

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English

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Wikipedia

Noun

one-shot learning (uncountable)

  1. (machine learning) An object categorization problem, mainly in computer vision, involving the classification of objects based on one, or only a few, examples.
    Coordinate terms: few-shot learning, N-shot learning, zero-shot learning