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ZERO-SHOT LEARNING DEFINITION
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Zero-shot Learning
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What is Zero-shot Learning?
Zero-shot Learning is a paradigm in
machine learning
where a model can generalize to recognize or classify unseen classes or samples during testing. It leverages auxiliary information or attributes to make predictions on previously unseen data.
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