The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning.
Romain CosentinoSarath ShekkizharMahdi SoltanolkotabiSalman AvestimehrAntonio OrtegaPublished in: CoRR (2022)
Keyphrases
- learning models
- transfer learning
- learning tasks
- manifold alignment
- semi supervised learning
- machine learning algorithms
- machine learning
- learning problems
- learning algorithm
- labeled data
- knowledge transfer
- cross domain
- reinforcement learning
- active learning
- loss function
- multi task
- collaborative filtering
- semi supervised
- unlabeled data
- conditional random fields
- text classification
- structure learning
- transfer knowledge
- text mining
- supervised learning
- data mining
- data sets
- learning experience
- classification models
- decision trees
- target domain
- domain adaptation