Scalable Diverse Model Selection for Accessible Transfer Learning.
Daniel BolyaRohit MittapalliJudy HoffmanPublished in: NeurIPS (2021)
Keyphrases
- model selection
- transfer learning
- machine learning
- cross validation
- learning tasks
- hyperparameters
- knowledge transfer
- active learning
- parameter estimation
- labeled data
- reinforcement learning
- generalization error
- feature selection
- domain adaptation
- text classification
- selection criterion
- sample size
- learning algorithm
- semi supervised learning
- information criterion
- multi task learning
- structure learning
- cross domain
- statistical learning
- collaborative filtering
- gaussian process
- model selection criteria
- machine learning algorithms
- text categorization
- unsupervised learning
- target domain
- multi task
- semi supervised
- real world
- regression model
- supervised learning
- text mining
- transfer knowledge