Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning.
Xihong YangXiaochang HuSihang ZhouXinwang LiuEn ZhuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- semi supervised learning
- supervised learning
- unsupervised learning
- learning models
- learning problems
- active learning
- semi supervised
- labeled and unlabeled data
- domain adaptation
- unlabeled data
- learning algorithm
- learning tasks
- labeled data
- co training
- covariate shift
- graph transduction
- label propagation
- multi view learning
- labeled instances
- machine learning
- learning process
- supervised learning algorithms
- data mining
- boosting framework
- unlabeled instances
- partially labeled
- prior knowledge
- semi supervised classification
- class labels
- transfer learning
- discriminative learning
- metric learning
- multi label classification
- labeled examples
- incremental learning
- manifold regularization
- training data
- inductive inference