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 a model on a large number of related taskssuch that new tasks can be learned quickly using a small number of examples.