Model-Agnostic Meta-Learning for Fast Adaptation of …

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks large improvements in the task loss. The primary contribution of this work is a simple model-and task-agnostic algorithm for meta-learning that trains a model’s parameters such that a small number of gradi-ent updates will lead to fast learning on a new task. We

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