SEval-NAS: A Search-Agnostic Evaluation for Neural Architecture Search

Researchers propose SEval-NAS, a new evaluation mechanism for neural architecture search that converts architectures to strings and predicts performance metrics like accuracy, latency, and memory usage. The method shows particular strength in predicting hardware costs and can be integrated into existing NAS frameworks with minimal changes.