NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters.
Yoichi HiroseNozomu YoshinariShinichi ShirakawaPublished in: CoRR (2021)
Keyphrases
- benchmark datasets
- joint optimization
- hyperparameters
- model selection
- cross validation
- bayesian framework
- random sampling
- bayesian inference
- closed form
- gaussian process
- em algorithm
- prior information
- sparse representation
- incremental learning
- maximum a posteriori
- maximum likelihood
- noise level
- support vector
- grid search
- sample size
- training set
- neural network
- missing values
- data sets
- supervised learning
- upper bound
- object recognition
- clustering algorithm
- machine learning