Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data.
Jiahan ZhangQi WeiFeng LiuLei FengPublished in: CoRR (2024)
Keyphrases
- language model
- unlabeled data
- supervised learning
- learning algorithm
- labeled data
- active learning
- co training
- semi supervised
- labeled and unlabeled data
- semi supervised learning
- domain adaptation
- learning process
- language modeling
- probabilistic model
- sample selection bias
- class labels
- supervised learning algorithms
- information retrieval
- data sets
- n gram
- positive examples
- training data
- query expansion
- learning tasks
- multi view learning
- feature selection
- labeled examples
- decision trees
- reinforcement learning
- retrieval model
- transfer learning
- test collection
- training set
- training examples
- text categorization
- data points
- multi view