Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data.
Yuhao ChenXin TanBorui ZhaoZhaowei ChenRenjie SongJiajun LiangXuequan LuPublished in: CVPR (2023)
Keyphrases
- semi supervised learning
- unlabeled data
- semisupervised learning
- labeled data
- semi supervised
- co training
- semi supervised classification
- supervised learning
- labeled examples
- unsupervised learning
- learning algorithm
- machine learning
- text categorization
- active learning
- learning models
- label propagation
- manifold regularization
- semi supervised learning algorithms
- labeled and unlabeled data
- partially labeled data
- transfer learning
- learning problems
- training data
- feature selection
- training examples
- improve the classification accuracy
- number of labeled examples
- domain adaptation
- class labels
- semi supervised learning setting
- abundant unlabeled data
- semi supervised learning methods
- unlabeled examples
- labeled training data
- text classification
- instance selection
- prior knowledge
- reinforcement learning
- transductive svm
- supervised learning algorithms
- unlabeled training data
- object recognition
- labeled instances
- base classifiers