10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CV2021
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks
Po-Hsiang Yu, Sih-Sian Wu, Liang-Gee Chen
Pruning has become a promising technique used to compress and accelerate neural networks. Existing methods are mainly evaluated on spare labeling applications. However, dense label…
cs.CV2020★ 10 cited
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Po-Hsiang Yu, Sih-Sian Wu, Jan P. Klopp +2
We investigate pruning and quantization for deep neural networks. Our goal is to achieve extremely high sparsity for quantized networks to enable implementation on low cost and low…