Meta-Learning with Latent Embedding Optimization

ICLR 2019 Andrei A. RusuDushyant RaoJakub SygnowskiOriol VinyalsRazvan PascanuSimon OsinderoRaia Hadsell

Gradient-based meta-learning techniques are both widely applicable and proficient at solving challenging few-shot learning and fast adaptation problems. However, they have practical difficulties when operating on high-dimensional parameter spaces in extreme low-data regimes... (read more)

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