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: ICSE (2024)
Keyphrases
- unlabeled data
- learning algorithm
- active learning
- supervised learning
- semi supervised learning
- labeled data
- prior knowledge
- labeled and unlabeled data
- co training
- supervised learning algorithms
- semi supervised
- training data
- sample selection bias
- learning process
- learning problems
- learning frameworks
- unsupervised learning
- positive examples
- domain adaptation
- text classification
- multi view learning
- probabilistic model
- semi supervised classification
- labeled training data
- d objects
- transductive learning
- locally weighted
- labeled instances
- pre trained
- training set
- supervised and semi supervised