36 citations · 56 across the 3 of their papers we have counts for
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cs.LG2019★ 36 cited
Accelerating Deep Learning by Focusing on the Biggest Losers
Angela H. Jiang, Daniel L. -K. Wong, Giulio Zhou +8
This paper introduces Selective-Backprop, a technique that accelerates the training of deep neural networks (DNNs) by prioritizing examples with high loss at each iteration. Select…
cs.LG2012★ 2 cited
Automatic Tuning of Interactive Perception Applications
Qian Zhu, Branislav Kveton, Lily Mummert +1
Interactive applications incorporating high-data rate sensing and computer vision are becoming possible due to novel runtime systems and the use of parallel computation resources.…