19 citations · 92 across the 16 of their papers we have counts for
4 papers · 1 filter
DAC: Data-free Automatic Acceleration of Convolutional Networks
Xin Li, Shuai Zhang, Bolan Jiang +3
Deploying a deep learning model on mobile/IoT devices is a challenging task. The difficulty lies in the trade-off between computation speed and accuracy. A complex deep learning mo…
DNQ: Dynamic Network Quantization
Yuhui Xu, Shuai Zhang, Yingyong Qi +3
Network quantization is an effective method for the deployment of neural networks on memory and energy constrained mobile devices. In this paper, we propose a Dynamic Network Quant…
Trained Rank Pruning for Efficient Deep Neural Networks
Yuhui Xu, Yuxi Li, Shuai Zhang +6
The performance of Deep Neural Networks (DNNs) keeps elevating in recent years with increasing network depth and width. To enable DNNs on edge devices like mobile phones, researche…
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks
Penghang Yin, Shuai Zhang, Jiancheng Lyu +3
Quantized deep neural networks (QDNNs) are attractive due to their much lower memory storage and faster inference speed than their regular full precision counterparts. To maintain…