Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge.
He HuangYuanwei ChenWei TangWenhao ZhengQing-Guo ChenYao HuPhilip S. YuPublished in: CoRR (2020)
Keyphrases
- multi label
- multi label learning
- learning tasks
- image classification
- text categorization
- external knowledge
- multi label classification
- learning algorithm
- class labels
- text classification
- supervised learning
- learning process
- unsupervised learning
- active learning
- nearest neighbor
- prior knowledge
- neural network
- knowledge representation
- probabilistic model
- domain knowledge
- labeled data
- object recognition
- bag of words
- support vector
- transfer learning
- decision trees
- image annotation
- feature selection
- artificial intelligence
- data mining