Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection.
Yushu LiYongyi SuXulei YangKui JiaXun XuPublished in: CoRR (2024)
Keyphrases
- model selection
- active learning
- covariate shift
- cross validation
- sample size
- hyperparameters
- parameter estimation
- machine learning
- bayesian learning
- mixture model
- information criterion
- generalization error
- statistical learning
- regression model
- error estimation
- automatic model selection
- bayesian methods
- random sampling
- motion segmentation
- statistical inference
- feature selection
- gaussian process
- selection criterion
- gaussian mixture model
- bayesian information criterion
- leave one out cross validation
- semi supervised
- supervised learning
- meta learning
- learning algorithm
- hypothesis tests
- data mining
- bayesian model selection