ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning.
Ragav SachdevaFilipe R. CordeiroVasileios BelagiannisIan D. ReidGustavo CarneiroPublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- unsupervised learning
- supervised learning
- learning problems
- semi supervised
- active learning
- dirichlet process mixture models
- labeled and unlabeled data
- unlabeled data
- co training
- learning models
- machine learning
- learning tasks
- labeled data
- graph transduction
- training data
- learning process
- learning algorithm
- semi supervised clustering
- label noise
- semi supervised classification
- k means
- reinforcement learning
- multi view learning
- prior knowledge
- high dimensional data
- relational learning
- noise tolerant
- data mining
- data sets