Mixing Up Real Samples and Adversarial Samples for Semi-Supervised Learning.
Yun MaXudong MaoYangbin ChenQing LiPublished in: IJCNN (2020)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled samples
- unlabeled samples
- labeled data
- active learning
- data sets
- supervised learning
- machine learning
- label propagation
- training data
- unsupervised learning
- manifold regularization
- transfer learning
- co training
- graph based semi supervised learning
- training set
- data mining
- natural language processing
- training samples
- pairwise
- labeled examples
- labeled and unlabeled data
- object recognition
- graph construction
- feature extraction
- information retrieval
- improve the classification accuracy
- real world