model-agnostic meta-learning

E1684185 UNEXPLORED

Model-agnostic meta-learning is a general optimization-based meta-learning framework that trains models to rapidly adapt to new tasks with minimal data, regardless of the underlying model architecture.

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All labels observed (4)

Label	Occurrences
MAML	1
Model-Agnostic Meta-Learning (MAML)	1
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	1
model-agnostic meta-learning canonical	1

Referenced by (4)

Full triples — surface form annotated when it differs from this entity's canonical label.

Chelsea Finn → knownFor → model-agnostic meta-learning ⓘ

Chelsea Finn → notableWork → Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ⓘ

linked to: model-agnostic meta-learning

Prototypical Networks → comparedWith → MAML ⓘ

linked to: model-agnostic meta-learning

miniImageNet → popularizedBy → Model-Agnostic Meta-Learning (MAML) ⓘ

linked to: model-agnostic meta-learning