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