BOMP- NAS: Bayesian Optimization Mixed Precision NAS
David van Son, Floran De Putter, Sebastian Vogel, Henk Corporaal · 2023
Bayesian Optimization Mixed-Precision Neural Architecture Search (BOMP-NAS) is a method to quantizationaware neural architecture search that leverages both Bayesian optimization and mixed-precision quantization to efficiently search for compact, high performance deep neural networks. It is able to find neural networks that achieve state of the art accuracy with less search time. Compared to the closest related work, BOMP-NAS can find these neural networks in$\mathbf{6}\times$less search time.