SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning.
Zhuowei WangJing JiangBo HanLei FengBo AnGang NiuGuodong LongPublished in: Trans. Mach. Learn. Res. (2022)
Keyphrases
- semi supervised learning
- multi view learning
- supervised learning
- learning problems
- learning frameworks
- boosting framework
- semi supervised
- labeled data
- labeled and unlabeled data
- unlabeled data
- manifold regularization
- label propagation
- unsupervised learning
- co training
- active learning
- semi supervised learning setting
- partially labeled
- graph transduction
- learning models
- learning algorithm
- learning tasks
- machine learning
- regularization framework
- semi supervised classification
- discriminative models
- prior knowledge
- multi view
- domain adaptation
- multiple instance learning
- learning process
- covariate shift
- incremental learning
- multi label classification
- training data
- discriminative learning
- unlabeled samples
- transfer learning
- probabilistic model
- feature space