LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing.
Qiang HuYuejun GuoXiaofei XieMaxime CordyMike PapadakisYves Le TraonPublished in: ACM Trans. Softw. Eng. Methodol. (2024)
Keyphrases
- model selection
- neural network
- cross validation
- unsupervised learning
- hyperparameters
- regression model
- bayesian learning
- parameter estimation
- statistical learning
- sample size
- error estimation
- machine learning
- selection criterion
- mixture model
- statistical inference
- meta learning
- automatic model selection
- marginal likelihood
- generalization error
- back propagation
- feature selection
- variable selection
- model selection criteria
- motion segmentation
- gaussian process
- active learning
- hypothesis tests
- parameter determination
- linear regression
- generalization bounds
- leave one out cross validation