Learning from Noisy Labeled Data via Sharpen Prediction Loss and Re-Correction.
Juncheng WangSiyue RenJie GengPublished in: ICCAIS (2021)
Keyphrases
- labeled data
- active learning
- learning algorithm
- unlabeled data
- semi supervised
- supervised learning
- labeled and unlabeled data
- semi supervised learning
- transfer learning
- prior knowledge
- text classification
- domain adaptation
- learning problems
- learning tasks
- supervised learning algorithms
- reinforcement learning
- training data
- sample selection bias
- co training
- learning process
- semi supervised classification
- data sets
- partially labeled data
- background knowledge
- positive examples
- incremental learning
- data points
- information retrieval
- labeling effort
- machine learning