8 citations · 16 across the 5 of their papers we have counts for
5 papers · 1 filter
A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting
Jiancheng Lyu, Spencer Sheen
We study channel number reduction in combination with weight binarization (1-bit weight precision) to trim a convolutional neural network for a keyword spotting (classification) ta…
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Penghang Yin, Jiancheng Lyu, Shuai Zhang +3
Training activation quantized neural networks involves minimizing a piecewise constant function whose gradient vanishes almost everywhere, which is undesirable for the standard bac…
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…
Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition
Spencer Sheen, Jiancheng Lyu
We propose and study a new projection formula for training binary weight convolutional neural networks. The projection formula measures the error in approximating a full precision…
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…