Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines.
Daniëlle SchumanLeo SünkelPhilipp AltmannJonas SteinChristoph RochThomas GaborClaudia Linnhoff-PopienPublished in: CoRR (2023)
Keyphrases
- transfer learning
- boltzmann machines
- learning tasks
- multi task
- reinforcement learning
- labeled data
- collaborative filtering
- machine learning
- structure learning
- cross domain
- boltzmann machine
- semi supervised learning
- learning algorithm
- active learning
- machine learning algorithms
- text classification
- transfer knowledge
- conditional random fields
- unlabeled data
- support vector machine
- gaussian process
- approximate inference
- text categorization
- k nearest neighbor
- data mining