Learning to Learn from Noisy Labeled Data.
Junnan LiYongkang WongQi ZhaoMohan S. KankanhalliPublished in: CoRR (2018)
Keyphrases
- labeled data
- supervised learning
- learning algorithm
- semi supervised
- active learning
- semi supervised learning
- domain adaptation
- labeled and unlabeled data
- unlabeled data
- prior knowledge
- transferring knowledge
- training data
- unsupervised learning
- domain specific
- learning process
- transfer learning
- learning problems
- sample selection bias
- reinforcement learning
- labeled examples
- neural network
- labeled training data
- supervised learning algorithms
- co training
- decision trees
- data sets