Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models.
Shuzheng GaoWenxin MaoCuiyun GaoLi LiXing HuXin XiaMichael R. LyuPublished in: CoRR (2024)
Keyphrases
- unlabeled data
- learning algorithm
- supervised learning
- semi supervised learning
- supervised learning algorithms
- active learning
- labeled and unlabeled data
- labeled data
- prior knowledge
- semi supervised
- learning models
- learning frameworks
- training data
- positive examples
- co training
- unsupervised learning
- domain adaptation
- multi view learning
- reinforcement learning
- learning tasks
- learning process
- class labels
- semi supervised classification
- transfer learning
- probabilistic model
- labeled instances
- training examples
- machine learning
- multi view
- labeled examples
- text classification
- pre trained
- pairwise