1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks
Moshe Eliasof, Benjamin Bodner, Eran Treister
Graph Convolutional Networks (GCNs) are widely used in a variety of applications, and can be seen as an unstructured version of standard Convolutional Neural Networks (CNNs). As in…
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…