most citedLDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 2 cited

LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference

Zhongzhi Yu, Yonggan Fu, Shang Wu +3

Low precision deep neural network (DNN) training is one of the most effective techniques for boosting DNNs' training efficiency, as it trims down the training cost from the finest…

physics.optics2017

Saturated absorption competition microscopy

Guangyuan Zhao, Mohammad M Kabir, Kimani C. Toussaint +4

We introduce the concept of saturated absorption competition (SAC) microscopy as a means of providing sub-diffraction spatial resolution in fluorescence imaging. Unlike the post-co…