P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning.
Gyeongdo HamYucheol ChoJae-Hyeok LeeDaeshik KimPublished in: IEEE Access (2022)
Keyphrases
- semi supervised learning
- semi supervised
- active learning
- manifold regularization
- label propagation
- unsupervised learning
- unlabeled data
- regularization framework
- labeled data
- supervised learning
- discriminative models
- boosting framework
- multi view learning
- semi supervised classification
- multiple instance learning
- co training
- training data
- labeled and unlabeled data
- machine learning
- domain adaptation
- graph construction
- multi view
- partially labeled
- probabilistic model