Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels.
Jiannan GuoHaochen ShiYangyang KangKun KuangSiliang TangZhuoren JiangChanglong SunFei WuYueting ZhuangPublished in: ICCV (2021)
Keyphrases
- semi supervised
- active learning
- labeled examples
- unlabeled examples
- semi supervised learning
- labeled data
- label propagation
- unlabeled data
- training examples
- pairwise
- supervised learning
- unsupervised learning
- pairwise constraints
- unlabeled samples
- partially labeled data
- fully supervised
- semi supervised classification
- multi view
- co training
- label information
- probabilistic model
- partially labeled
- labeled samples
- batch mode
- multi label classification
- unlabeled instances
- labeled and unlabeled data
- model selection
- training set
- multiple instance learning
- prior knowledge
- annotation effort
- virtual reality
- virtual world
- active learner
- fully labeled
- semi supervised dimensionality reduction
- graph construction
- constrained clustering
- random sampling
- label noise
- learning process