Hyper-Representations for Pre-Training and Transfer Learning.
Konstantin SchürholtBoris KnyazevXavier Giró-i-NietoDamian BorthPublished in: CoRR (2022)
Keyphrases
- transfer learning
- learning tasks
- knowledge transfer
- training and test data
- active learning
- transfer knowledge
- labeled data
- cross domain
- machine learning
- reinforcement learning
- machine learning algorithms
- text categorization
- manifold alignment
- target domain
- learning algorithm
- collaborative filtering
- multi task
- structure learning
- training examples
- supervised learning
- semi supervised learning
- test set
- multi task learning
- training set
- domain adaptation
- neural network
- text classification
- graphical models
- text mining
- multi class
- feature space
- data mining
- data sets
- transferring knowledge
- cross domain learning