Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning.
Xihong YangXiaochang HuSihang ZhouXinwang LiuEn ZhuPublished in: CoRR (2022)
Keyphrases
- semi supervised learning
- supervised learning
- learning problems
- unsupervised learning
- active learning
- semi supervised
- graph transduction
- unlabeled data
- co training
- labeled and unlabeled data
- learning models
- machine learning
- labeled data
- label propagation
- learning algorithm
- multi label classification
- covariate shift
- learning tasks
- boosting framework
- learning process
- incremental learning
- prior knowledge
- text categorization
- semi supervised classification
- manifold regularization
- class labels
- training data
- supervised learning algorithms
- multi instance learning
- multi view learning
- labeled instances
- graph based semi supervised learning
- high dimensional