Ondrej Tybl

Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights

Deep learning has revolutionized computer vision, but it achieved its tremendous success using deep network architectures which are mostly hand-crafted and therefore likely suboptimal. Neural Architecture Search (NAS) aims to bridge this gap by following a well-defined optimization paradigm which sy…