16 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
Differentiable Transportation Pruning
Yunqiang Li, Jan C. van Gemert, Torsten Hoefler +3
Deep learning algorithms are increasingly employed at the edge. However, edge devices are resource constrained and thus require efficient deployment of deep neural networks. Prunin…
cs.LG2019★ 16 cited
FQ-Conv: Fully Quantized Convolution for Efficient and Accurate Inference
Bram-Ernst Verhoef, Nathan Laubeuf, Stefan Cosemans +4
Deep neural networks (DNNs) can be made hardware-efficient by reducing the numerical precision of the weights and activations of the network and by improving the network's resilien…