S
Shenghu Jiang
Researcher at Beihang University
Publications - 2
Citations - 384
Shenghu Jiang is an academic researcher from Beihang University. The author has contributed to research in topics: Quantization (signal processing) & Artificial neural network. The author has an hindex of 2, co-authored 2 publications receiving 176 citations.
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Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Ruihao Gong,Xianglong Liu,Shenghu Jiang,Tianxiang Li,Peng Hu,Jiazhen Lin,Fengwei Yu,Junjie Yan +7 more
TL;DR: Differentiable soft quantization (DSQ) as mentioned in this paper is proposed to bridge the gap between the full-precision and low-bit networks, which can automatically evolve during training to gradually approximate the standard quantization.
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Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Ruihao Gong,Xianglong Liu,Shenghu Jiang,Tianxiang Li,Peng Hu,Jiazhen Lin,Fengwei Yu,Junjie Yan +7 more
TL;DR: Differentiable Soft Quantization (DSQ) is proposed to bridge the gap between the full-precision and low-bit networks and can help pursue the accurate gradients in backward propagation, and reduce the quantization loss in forward process with an appropriate clipping range.