Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning.
Vladan StojnicZakaria LaskarGiorgos ToliasPublished in: WACV (2024)
Keyphrases
- back propagation
- semi supervised
- active learning
- learning algorithm
- supervised learning
- neural network
- training examples
- training set
- fully labeled
- training process
- batch mode
- semi supervised learning
- labeled data
- unlabeled data
- annotation effort
- robust regression
- random sample consensus
- pool based active learning
- unsupervised learning
- semi supervised classification
- learning strategies
- co training
- multi view
- sample selection
- ensemble learning
- labeled examples
- supervised methods
- outlier detection
- missing data
- data sets
- active learner
- cost sensitive
- training samples
- pairwise constraints
- experimental design
- robust estimation
- random sampling
- relevance feedback
- machine learning