Since most existing few-shot learning methods require either many few-shot classes or some classes with enough data for training, we also explore the partial few-shot learning setting for intent detection to provide a fair comparison for existing few-shot learning methods.
we let the 3 most frequent intents have 300 training instances, and the rest remains untouched.