Meta-learning was introduced to make machine learning models to learn new skills and adapt to the ever changing environments in the presence of finite training precedents. The main objective of this approach is to find model agnostic solutions. One highly successful meta-learning algorithm has been Model Agnostic Meta-Learning (MAML). This algorithm, with deep neural networks…

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