Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning.
Qing MiaoXiaohe WuChao XuYanli JiWangmeng ZuoYiwen GuoZhaopeng MengPublished in: CoRR (2023)
Keyphrases
- semi supervised learning
- active learning
- supervised learning
- learning problems
- unsupervised learning
- semi supervised
- labeled and unlabeled data
- unlabeled data
- learning algorithm
- partially labeled
- labeled data
- training data
- learning models
- weakly labeled data
- graph transduction
- label propagation
- learning tasks
- learning process
- supervised learning tasks
- text categorization
- machine learning
- prior knowledge
- co training
- multi instance learning
- reinforcement learning
- graph based semi supervised learning
- unlabeled instances
- labeled instances
- sample selection
- semi supervised classification
- training set
- multi view learning
- pairwise
- inductive learning
- kernel methods