2021/08/19 by Youngkee Kim, Won Joon Yun, Kim, Youngkee +7 · 1 citation
Computer Science · Engineering · #Advanced Sensor and Control Systems #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #cs.LG
paper · pdf · doi:10.48550/arxiv.2108.08474
4 pages, 5 figures, In Proceedings of the 12th International Conference on ICT Convergence (ICTC) 2021
arxiv created 2021/08/19 · openalex publication_date 2021/08/19 · arxiv updated 2021/08/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In modern deep learning research, finding optimal (or near optimal) neural network models is one of major research directions and it is widely studied in many applications. In this paper, the main research trends of neural architecture search (NAS) are classified as neuro-evolutionary algorithms, reinforcement learning based algorithms, and one-shot architecture search approaches. Furthermore, each research trend is introduced and finally all the major three trends are compared. Lastly, the future research directions of NAS research trends are discussed.