Hyperparameter Transfer Learning with Adaptive Complexity.
Samuel HorváthAaron KleinPeter RichtárikCédric ArchambeauPublished in: CoRR (2021)
Keyphrases
- transfer learning
- knowledge transfer
- learning tasks
- labeled data
- reinforcement learning
- active learning
- machine learning
- structure learning
- cross domain
- text classification
- collaborative filtering
- multi task learning
- multi task
- semi supervised learning
- machine learning algorithms
- transferring knowledge
- gaussian processes
- domain adaptation
- transfer knowledge
- learning algorithm
- unlabeled data
- data mining
- manifold alignment
- hyperparameters
- text categorization
- model selection
- databases
- data sets