On The Consistency Training for Open-Set Semi-Supervised Learning.
Huixiang LuoHao ChengYuting GaoKe LiMengdan ZhangFanxu MengXiaowei GuoFeiyue HuangXing SunPublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- supervised learning
- semi supervised
- unlabeled data
- labeled data
- labeled training data
- number of labeled examples
- machine learning
- unsupervised learning
- co training
- active learning
- training data
- covariate shift
- labeled examples
- learning models
- semi supervised classification
- training process
- graph based semi supervised learning
- label propagation
- learning problems
- improve the classification accuracy
- data sets
- domain adaptation
- training set
- labeled and unlabeled data
- semi supervised learning methods
- information retrieval
- semi supervised learning algorithms
- regularization framework
- high dimensional
- manifold regularization
- labeled instances
- graph construction
- unlabeled samples
- learning algorithm
- class labels
- model selection
- text classification
- transfer learning