Learning to Learn From Noisy Labeled Data.
Junnan LiYongkang WongQi ZhaoMohan S. KankanhalliPublished in: CVPR (2019)
Keyphrases
- labeled data
- supervised learning
- active learning
- learning algorithm
- unlabeled data
- labeled and unlabeled data
- domain adaptation
- semi supervised
- semi supervised learning
- training data
- sample selection bias
- learning tasks
- supervised learning algorithms
- transferring knowledge
- multitask learning
- co training
- labeling effort
- labeled instances
- text classification
- prior knowledge
- unlabeled images
- learning problems
- feature engineering
- labeling process
- labeled training set
- machine learning
- semi supervised classification
- transfer learning
- class labels
- training examples
- unsupervised learning
- learning process
- high dimensional
- pairwise
- feature extraction