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Uunipelti

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Few-shot learning researches to learn a novel concept from a handful of labeled samples. Due to the small amount of training data. deep network has the risk of over-fitting. Although many previous approaches based on metric criterion can make significant progress to tackle this challenge. https://www.roneverhart.com/Uunipelti-pinnoitettu-1-1-65-rst/
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