CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning.
Xin ZhangZixuan LiuKaiwen XiaoTian ShenJunzhou HuangWei YangDimitris SamarasXiao HanPublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- supervised learning
- semi supervised
- learning problems
- learning models
- active learning
- unsupervised learning
- learning algorithm
- partially labeled
- training data
- label propagation
- unlabeled data
- weakly labeled data
- labeled data
- graph transduction
- supervised learning algorithms
- learning process
- labeled and unlabeled data
- co training
- labeled examples
- semi supervised classification
- partially labeled data
- domain adaptation
- training set
- learning tasks
- labeled instances
- multi view learning
- reinforcement learning
- object recognition
- covariate shift
- manifold regularization
- unlabeled samples
- text categorization
- multi label classification
- class labels
- loss function
- training examples