Meta-Learning for Semi-Supervised Few-Shot Classification.
Mengye RenEleni TriantafillouSachin RaviJake SnellKevin SwerskyJoshua B. TenenbaumHugo LarochelleRichard S. ZemelPublished in: ICLR (Poster) (2018)
Keyphrases
- meta learning
- semi supervised
- machine learning algorithms
- model selection
- machine learning
- learning tasks
- supervised learning
- decision trees
- meta knowledge
- feature selection
- classification accuracy
- semi supervised learning
- inductive learning
- support vector machine
- image classification
- active learning
- feature extraction
- support vector
- text classification
- data mining
- svm classifier
- class labels
- benchmark datasets
- e learning
- knowledge representation
- feature vectors
- training set