How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning.
Yikai WangLi ZhangYuan YaoYanwei FuPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2022)
Keyphrases
- unlabeled data
- learning algorithm
- supervised learning
- active learning
- semi supervised learning
- labeled data
- co training
- domain adaptation
- labeled and unlabeled data
- learning process
- semi supervised
- prior knowledge
- sample selection bias
- training data
- multi view learning
- supervised learning algorithms
- positive examples
- learning problems
- bayesian networks
- data mining
- text classification
- learning tasks
- transfer learning
- reinforcement learning
- data points
- unsupervised learning
- class labels
- information retrieval
- statistical queries
- dimensionality reduction
- labeled instances