most citedDoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

1.8k citations · 1.8k across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2017★ 2 cited

Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks

Shuchang Zhou, Yuzhi Wang, He Wen +2

Quantized Neural Networks (QNNs), which use low bitwidth numbers for representing parameters and performing computations, have been proposed to reduce the computation complexity, s…