What is noise-tolerant learning?
Learning that can generalise well.
Take for example differnetial privacy. There you inject noise on Purpose to anonymise your data, and in the process of you losse accuracy. Goal is to find such algorithms, that will with smart noise injections, be able to generalise and Keep the good accuracy Level.