Learning to learn by gradient descent by gradient descent

NeurIPS 2016 Marcin AndrychowiczMisha DenilSergio GomezMatthew W. HoffmanDavid PfauTom SchaulBrendan ShillingfordNando de Freitas

The move from hand-designed features to learned features in machine learning has been wildly successful. In spite of this, optimization algorithms are still designed by hand... (read more)

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