UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs.
Philipp OberdiekGernot A. FinkMatthias RottmannPublished in: CoRR (2022)
Keyphrases
- unified model
- svm classifier
- training set
- trained classifiers
- conditional probabilities
- training data
- adaboost classifier
- supervised training
- uncertain data
- support vector
- training stage
- support vector machine
- belief nets
- feature selection
- linear classifiers
- decision theory
- training examples
- multi layer perceptron
- multiple classifiers
- classification models
- single feature
- machine learning methods
- class labels
- test set
- machine learning algorithms
- random field model
- conditionally independent
- ensemble learning
- training process
- multilayer perceptron
- naive bayes
- support vector machine svm
- feature set
- ensemble classifier
- decision trees
- active learning
- feature extraction
- training samples
- image classification
- classification decisions
- machine learning