SGDR uses periodic warm restarts of the learning rate in SGD to reach new state-of-the-art error rates of 3.14% on CIFAR-10 and 16.21% on CIFAR-100.
Adaptive restart for accelerated gradient schemes
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SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR uses periodic warm restarts of the learning rate in SGD to reach new state-of-the-art error rates of 3.14% on CIFAR-10 and 16.21% on CIFAR-100.