Explanation Selection Using Unlabeled Data for In-Context Learning.
Xi YeGreg DurrettPublished in: CoRR (2023)
Keyphrases
- unlabeled data
- learning algorithm
- active learning
- labeled data
- supervised learning
- semi supervised
- semi supervised learning
- labeled and unlabeled data
- co training
- positive examples
- learning process
- prior knowledge
- training set
- supervised learning algorithms
- labeled examples
- sample selection bias
- learning tasks
- learning frameworks
- unlabeled instances
- multi view learning
- positive and unlabeled examples
- labeled training data
- transfer learning
- learning models
- learning problems
- background knowledge
- machine learning algorithms
- unsupervised learning
- object recognition
- training data