3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 3 cited
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations
Ido Ben-Yair, Gil Ben Shalom, Moshe Eliasof +1
Quantization of Convolutional Neural Networks (CNNs) is a common approach to ease the computational burden involved in the deployment of CNNs, especially on low-resource edge devic…
cs.LG2021★ 1 cited
GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks
Benjamin J. Bodner, Gil Ben Shalom, Eran Treister
Quantized neural networks (QNNs) are among the main approaches for deploying deep neural networks on low resource edge devices. Training QNNs using different levels of precision th…