A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning.
Yiyou SunZhenmei ShiYixuan LiPublished in: NeurIPS (2023)
Keyphrases
- semi supervised learning
- theoretic framework
- open world
- graph based semi supervised learning
- graph construction
- semi supervised classification
- label propagation
- semi supervised
- information theoretic
- unlabeled data
- labeled data
- supervised learning
- incomplete information
- machine learning
- closed world
- co training
- unsupervised learning
- active learning
- structured data
- data exchange
- training data
- mutual information
- database
- dimensionality reduction
- probabilistic model
- query language
- object recognition
- natural language
- decision trees
- e learning
- computer vision
- data sets