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Standard machine learning products usually demand significant quantities of labeled data for prime efficiency. Still, 1-shot learning seeks to beat this limitation by enabling models toLearners also can disappoint by "learning the wrong lesson". A toy illustration is usually that a picture classifier qualified only on pictures of brown horses and b