Definition: zero-shot learning

Zero-shot learning (ZSL) is an AI model that can generate images that have not been labeled and presented in the training phase. At execution (inference), the model is given auxiliary descriptions. For example, to generate a zebra, a model might be given information such as "a horse with black and white stripes." The term comes from "one-shot learning," which classifies objects from a few examples.