3 papers
cs.CV2018
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks
Mi Sun Park, Xiaofan Xu, Cormac Brick
Deep neural networks have achieved state-of-the-art accuracies in a wide range of computer vision, speech recognition, and machine translation tasks. However the limits of memory b…
cs.CV2018
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices
Xiaofan Xu, Mi Sun Park, Cormac Brick
We introduce hybrid pruning which combines both coarse-grained channel and fine-grained weight pruning to reduce model size, computation and power demands with no to little loss in…
stat.ME2016
Bayesian Variable Selection and Estimation Based on Global-Local Shrinkage Priors
Xueying Tang, Xiaofan Xu, Malay Ghosh +1
In this paper, we consider Bayesian variable selection problem of linear regression model with global-local shrinkage priors on the regression coefficients. We propose a variable s…