Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data.
Shuyu MiaoJian LiuLin ZhengHong JinPublished in: AAAI (2024)
Keyphrases
- unlabeled data
- supervised learning
- labeled data
- semi supervised learning
- active learning
- learning algorithm
- labeled and unlabeled data
- semi supervised
- co training
- prior knowledge
- learning process
- unsupervised learning
- supervised learning algorithms
- learning problems
- reinforcement learning
- positive examples
- text classification
- learning tasks
- domain adaptation
- sample selection bias
- learning frameworks
- supervised and semi supervised
- positive and unlabeled examples
- training examples
- semi supervised classification
- learning models
- background knowledge
- high dimensional
- training data