Universal Representation Learning from Multiple Domains for Few-shot Classification.
Wei-Hong LiXialei LiuHakan BilenPublished in: ICCV (2021)
Keyphrases
- machine learning
- learning process
- classification accuracy
- image classification
- supervised learning
- prior knowledge
- reinforcement learning
- feature extraction
- decision trees
- multiple domains
- active learning
- databases
- text classification
- learning tasks
- support vector
- support vector machine
- learning algorithm
- knowledge acquisition
- unsupervised learning
- learning experience