Trends in One-Shot Neural Architecture Search

Recent advances in neural architecture search (NAS) techniques have provided effective solutions for managing high-dimensional data. These methods algorithmically automate the design process of NAS, aiming to identify an optimized structure that meets target performance criteria with reduced time and resource expenditure. This paper introduces the One-shot NAS method, which offers a computationally efficient approach to exploring NAS while minimizing the associated computational costs.