How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
Xuefeng DuZhen FangIlias DiakonikolasYixuan LiPublished in: ICLR (2024)
Keyphrases
- unlabeled data
- labeled data
- semi supervised learning
- semi supervised
- co training
- active learning
- supervised learning
- semi supervised classification
- text classification
- learning algorithm
- labeled and unlabeled data
- labeled examples
- training set
- text categorization
- labeled training data
- class labels
- training data
- training and test data
- data points
- number of labeled examples
- domain adaptation
- label propagation
- supervised learning algorithms
- transfer learning
- positive examples
- learning problems
- object detection
- prior knowledge
- unsupervised learning
- sample selection bias
- training examples
- data distribution
- decision trees
- machine learning
- unlabeled instances
- pairwise
- labeled data for training