RankNAS: A Pairwise Ranking Model to Accelerate Black-Box Neural Architecture Search
Black-box Neural Architecture Search (NAS) is a robust, model-agnostic technique for creating application-specific neural network architectures. Regrettably, it is often prohibitively expensive as its many candidate architectures must be fully trained to be evaluated. To eliminate this overhead, we propose RankNAS, a l...