Before revision:  Meta-learning addresses this problem by training  on a large number of related taskssuch that new tasks can be learned quickly using a small number of examples.
After revision:  Meta-learning addresses this problem by training on a large number of few-shot tasks, with an objective to learn new tasks quickly from a small number of examples.