The following paper has been accepted to the 13th Asian Conference on Machine Learning (ACML 2021). This paper provides a benchmark dataset for joint optimization of architecture and training hyperparameters. The benchmark dataset API is available from the GitHub repository.
Yoichi Hirose, Nozomu Yoshinari, and Shinichi Shirakawa, “NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters,” The 13th Asian Conference on Machine Learning (ACML 2021) (Accepted) [arXiv]