When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications

Zequn Liu, Ruiyi Zhang, Yiping Song +2

Model-Agnostic Meta-Learning (MAML), a model-agnostic meta-learning method, is successfully employed in NLP applications including few-shot text classification and multi-domain low…