MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification

1 Dec 2019Sivan DovehEli SchwartzChao XueRogerio FerisAlex BronsteinRaja GiryesLeonid Karlinsky

Few-Shot Learning (FSL) is a topic of rapidly growing interest. Typically, in FSL a model is trained on a dataset consisting of many small tasks (meta-tasks) and learns to adapt to novel tasks that it will encounter during test time... (read more)

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