Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data.
Kai KatsumataDuc Minh VoTatsuya HaradaHideki NakayamaPublished in: WACV (2024)
Keyphrases
- supervised learning
- unlabeled data
- labeled data
- learning algorithm
- semi supervised learning
- active learning
- co training
- semi supervised
- labeled and unlabeled data
- training data
- domain adaptation
- learning process
- labeled examples
- prior knowledge
- labeled instances
- supervised learning algorithms
- labeled training data
- unsupervised learning
- transductive learning
- unlabeled images
- learning tasks
- learning problems
- positive examples
- learning frameworks
- semi supervised classification
- unlabeled instances
- sample selection bias
- labeling effort
- small set of labeled
- unlabeled examples
- text classification
- training set
- object recognition
- reinforcement learning
- transfer learning
- unlabeled documents
- training examples
- partially labeled
- information extraction
- data points
- decision trees