Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data.
Lan-Zhe GuoZhenyu ZhangYuan JiangYu-Feng LiZhi-Hua ZhouPublished in: ICML (2020)
Keyphrases
- semi supervised learning
- unlabeled data
- labeled data
- semi supervised
- class labels
- training examples
- co training
- supervised learning
- positive examples
- semi supervised classification
- training set
- labeled examples
- labeled and unlabeled data
- labeled training data
- active learning
- improve the classification accuracy
- labeled samples
- training data
- manifold regularization
- label information
- number of labeled examples
- machine learning
- learning problems
- unsupervised learning
- unlabeled examples
- supervised learning algorithms
- text classification
- data points
- decision trees
- label propagation
- learning models
- unlabeled training data
- learning algorithm
- reinforcement learning
- regularization framework
- pairwise
- semi supervised clustering
- high dimensional
- domain adaptation
- transfer learning
- multi instance
- information extraction
- decision boundary
- multi view learning
- semi supervised learning algorithms
- semisupervised learning
- data sets
- abundant unlabeled data