Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations

no code implementations • NeurIPS Workshop DLDE 2021 • Ido Ben-Yair, Gil Ben Shalom, Moshe Eliasof, Eran Treister

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 devices.

Autonomous Driving Image Classification +2

GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks

no code implementations • 18 Feb 2021 • 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.

Quantization