CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning.
Yue FanDengxin DaiBernt SchielePublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- supervised learning
- labeled and unlabeled data
- co training
- unsupervised learning
- unlabeled data
- semi supervised
- learning algorithm
- learning problems
- labeled data
- active learning
- training data
- labeled instances
- feature space
- learning process
- boosting framework
- multi view learning
- domain adaptation
- multiple kernel learning
- learning models
- graph based semi supervised learning
- class labels
- sample selection bias
- reinforcement learning
- machine learning
- semi supervised classification
- label propagation
- labeled training data
- feature selection
- decision trees
- training samples
- partially labeled
- graph transduction
- discriminative learning
- labeled examples
- positive examples
- incremental learning
- learning tasks
- transfer learning
- prior knowledge
- training set