Hard Mixtures of Experts for Large Scale Weakly Supervised Vision

CVPR 2017 Sam GrossMarc'Aurelio RanzatoArthur Szlam

Training convolutional networks (CNN's) that fit on a single GPU with minibatch stochastic gradient descent has become effective in practice. However, there is still no effective method for training large CNN's that do not fit in the memory of a few GPU cards, or for parallelizing CNN training... (read more)

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