2020
AdaScale SGD: A User-Friendly Algorithm for Distributed Training
ICML 2020poster
When using large-batch training to speed up stochastic gradient descent, learning rates must adapt to new batch sizes in order to maximize speed-ups and preserve model quality. Re-tuning learning rates is resource intensive, while fixed scaling rules often degrade model quality. We propose AdaScale…