One-shot Learning with Memory-Augmented Neural Networks

19 May 2016Adam SantoroSergey BartunovMatthew BotvinickDaan WierstraTimothy Lillicrap

Despite recent breakthroughs in the applications of deep neural networks, one setting that presents a persistent challenge is that of "one-shot learning." Traditional gradient-based networks require a lot of data to learn, often through extensive iterative training... (read more)

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