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We introduce a method for automatically selecting the path, or syllabus, that a neural network follows through a curriculum so as to maximise learning efficiency. A measure of the amount that the network learns from each data sample is provided as a reward signal to a nonstationary multi-armed bandit algorithm, which then determines a stochastic syllabus... (read more)
PDF Abstract ICML 2017 PDF ICML 2017 Abstract
bAbI
Sigmoid Activation
Tanh Activation
LSTM