no code implementations • 27 Jan 2023 • David van Son, Floran de Putter, Sebastian Vogel, Henk Corporaal
Bayesian Optimization Mixed-Precision Neural Architecture Search (BOMP-NAS) is an approach to quantization-aware neural architecture search (QA-NAS) that leverages both Bayesian optimization (BO) and mixed-precision quantization (MP) to efficiently search for compact, high performance deep neural networks.
no code implementations • 24 Jun 2022 • Floran de Putter, Henk Corporaal
To reduce the accuracy gap between binary and full-precision networks, many repair methods have been proposed in the recent past, which we have classified and put into a single overview in this chapter.