How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning.
Yikai WangLi ZhangYuan YaoYanwei FuPublished in: CoRR (2020)
Keyphrases
- unlabeled data
- active learning
- learning algorithm
- supervised learning
- labeled data
- semi supervised learning
- labeled and unlabeled data
- semi supervised
- positive examples
- domain adaptation
- learning process
- prior knowledge
- sample selection bias
- co training
- supervised learning algorithms
- learning frameworks
- unsupervised learning
- learning problems
- multi view learning
- unlabeled instances
- information extraction
- training set
- training data
- e learning
- positive and unlabeled examples
- background knowledge
- statistical queries
- number of labeled examples
- labeled training data
- label propagation
- negative examples
- weakly supervised
- cross domain
- kernel methods
- data sets
- maximum likelihood
- object recognition
- learning environment
- reinforcement learning
- machine learning