9.7k citations · 22.1k across the 16 of their papers we have counts for
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cs.LG2017★ 19 cited
High performance ultra-low-precision convolutions on mobile devices
Andrew Tulloch, Yangqing Jia
Many applications of mobile deep learning, especially real-time computer vision workloads, are constrained by computation power. This is particularly true for workloads running on…
cs.CV2017★ 2.5k cited
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal, Piotr Dollár, Ross Girshick +6
Deep learning thrives with large neural networks and large datasets. However, larger networks and larger datasets result in longer training times that impede research and developme…