Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning.
Xudong WangZhirong WuLong LianStella X. YuPublished in: CoRR (2022)
Keyphrases
- semi supervised learning
- supervised learning
- learning problems
- semi supervised
- labeled data
- active learning
- unsupervised learning
- training data
- labeled and unlabeled data
- unlabeled data
- semi supervised classification
- label propagation
- partially labeled
- multi view learning
- weakly labeled data
- learning process
- co training
- learning tasks
- learning models
- domain adaptation
- graph transduction
- learning algorithm
- reinforcement learning
- machine learning
- labeled examples
- multi instance learning
- class labels
- graph based semi supervised learning
- covariate shift
- partially labeled data
- metric learning
- transfer learning
- graph construction
- unlabeled samples
- boosting framework
- manifold regularization
- decision trees