Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis.
Sharu Theresa JoseOsvaldo SimeonePublished in: ITW (2023)
Keyphrases
- information theoretic
- transfer learning
- information theory
- mutual information
- theoretic framework
- data analysis
- labeled data
- knowledge transfer
- machine learning algorithms
- decision trees
- information bottleneck
- transfer knowledge
- machine learning
- text categorization
- unsupervised learning
- text classification
- reinforcement learning
- computer vision
- semi supervised learning
- class labels
- supervised learning
- image registration
- active learning
- multi task
- prior knowledge
- domain adaptation
- bayesian networks