19 citations · 92 across the 16 of their papers we have counts for
4 papers · 1 filter
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks
Jiancheng Lyu, Shuai Zhang, Yingyong Qi +1
ShuffleNet is a state-of-the-art light weight convolutional neural network architecture. Its basic operations include group, channel-wise convolution and channel shuffling. However…
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…
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…
Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection
Penghang Yin, Shuai Zhang, Yingyong Qi +1
We present LBW-Net, an efficient optimization based method for quantization and training of the low bit-width convolutional neural networks (CNNs). Specifically, we quantize the we…