Imbalanced Semi-supervised Learning with Bias Adaptive Classifier.
Renzhen WangXixi JiaQuanziang WangYichen WuDeyu MengPublished in: ICLR (2023)
Keyphrases
- semi supervised learning
- training data
- unlabeled data
- co training
- labeled data
- semi supervised
- labeled training data
- multi label classification
- labeled and unlabeled data
- sample selection bias
- supervised classifiers
- semi supervised learning methods
- unlabeled samples
- supervised learning
- class labels
- unsupervised learning
- labeled samples
- semi supervised classification
- text categorization
- machine learning
- labeled examples
- class distribution
- label propagation
- manifold regularization
- graph based semi supervised learning
- learning algorithm
- multiple instance learning
- active learning
- decision trees
- labeled instances
- text classification
- training samples
- learning problems
- instance selection
- text classifiers
- binary classification problems
- training set
- transfer learning
- training examples
- principal component analysis
- support vector machine
- semi supervised learning algorithms
- learning models
- data points
- linear classifiers