11 citations · 13 across the 5 of their papers we have counts for
5 papers
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
Lingyu Gu, Yongqi Du, Yuan Zhang +4
Modern deep neural networks (DNNs) are extremely powerful; however, this comes at the price of increased depth and having more parameters per layer, making their training and infer…
Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings
Yuan Zhang, Jian Cao, Ling Zhang +3
The event streams generated by dynamic vision sensors (DVS) are sparse and non-uniform in the spatial domain, while still dense and redundant in the temporal domain. Although spiki…
Neural Inheritance Relation Guided One-Shot Layer Assignment Search
Rang Meng, Weijie Chen, Di Xie +2
Layer assignment is seldom picked out as an independent research topic in neural architecture search. In this paper, for the first time, we systematically investigate the impact of…
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Weijie Chen, Di Xie, Yuan Zhang +1
Shift operation is an efficient alternative over depthwise separable convolution. However, it is still bottlenecked by its implementation manner, namely memory movement. To put thi…
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Weijie Chen, Yuan Zhang, Di Xie +1
Neuron pruning is an efficient method to compress the network into a slimmer one for reducing the computational cost and storage overhead. Most of state-of-the-art results are obta…