Exploiting counter-examples for active learning with partial labels.
Fei ZhangYunjie YeLei FengZhongwen RaoJieming ZhuMarcus KalanderChen GongJianye HaoBo HanPublished in: Mach. Learn. (2024)
Keyphrases
- counter examples
- active learning
- annotation effort
- training examples
- label noise
- training set
- semi supervised
- unlabeled instances
- labeling effort
- machine learning
- supervised learning
- active learning framework
- logic programs
- relevance feedback
- pairwise
- partially labeled
- random sampling
- training data
- active learner
- ground truth labels
- query by committee
- learning algorithm
- labeled examples
- answer sets
- multi label
- class labels
- unlabeled data
- learning strategies
- active learning strategies
- text classification
- pool based active learning
- selective sampling
- bounded model checking
- orders of magnitude
- labeled data
- decision trees
- knowledge base
- artificial intelligence
- imbalanced data classification