Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks

ICML 2018 Daphna WeinshallGad CohenDan Amir

We provide theoretical investigation of curriculum learning in the context of stochastic gradient descent when optimizing the convex linear regression loss. We prove that the rate of convergence of an ideal curriculum learning method is monotonically increasing with the difficulty of the examples... (read more)

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