You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: One such instance is the ability to learn from few examples, in the so-called few-shot learning tasks.Rather than relying on regularization to compensate for the lack of data, researchers have exploredways to leverage a distribution of similar tasks, inspired by human learning Lake et al. (2015).This defines a new supervised learning setup (also called ‘meta-learning’) in which the input-outputpairs are no longer given by iid samples of images and their associated labels, but by iid samples ofcollections of images and their associated label similarity.

Question: If there are few examples for learn, we called them few-shot learning. Guess the meaning of zero-shot learning.
Few-shot learning is learning from few examples. Therefore, zero-shot learning is learning from no real example.