36 citations · 36 across the 1 of their papers we have counts for
3 papers
cs.HC2021
Ajalon: Simplifying the Authoring of Wearable Cognitive Assistants
Truong An Pham, Junjue Wang, Yu Xiao +4
Wearable Cognitive Assistance (WCA) amplifies human cognition in real time through a wearable device and low-latency wireless access to edge computing infrastructure. It is inspire…
cs.HC2020
Impact of delayed response on Wearable Cognitive Assistance
M. Olguín Muñoz, R. Klatzky, J. Wang +3
Wearable Cognitive Assistants (WCA) are anticipated to become a widely-used application class, in conjunction with emerging network infrastructures like 5G that incorporate edge co…
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…