A Framework Using Contrastive Learning for Classification with Noisy Labels.
Madalina CiortanRomain DupuisThomas PeelPublished in: Data (2021)
Keyphrases
- multi category
- supervised learning
- learning scheme
- learning frameworks
- incremental learning
- learning tasks
- online learning
- learning algorithm
- learning process
- unsupervised learning
- machine learning
- kernel learning
- learning phase
- learning mechanism
- inductive inference
- image classification
- text classification
- decision trees
- active learning
- machine learning algorithms
- decision rules
- distance metric learning
- prior knowledge
- discriminative learning
- pattern recognition
- training data
- neural network
- semi supervised
- kernel machines
- labeled and unlabeled data
- feature extraction
- reinforcement learning
- training set
- classification models
- feature vectors
- classification method
- model selection
- classification accuracy