UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs.
Philipp OberdiekGernot A. FinkMatthias RottmannPublished in: NeurIPS (2022)
Keyphrases
- unified model
- training set
- svm classifier
- trained classifiers
- conditional probabilities
- decision trees
- training data
- adaboost classifier
- supervised training
- support vector
- multi layer perceptron
- linear classifiers
- feature selection
- classification algorithm
- uncertain data
- naive bayes
- machine learning algorithms
- supervised classification
- training stage
- test set
- class labels
- random field model
- feature set
- support vector machine
- data sets
- support vector machine svm
- training process
- conditionally independent
- machine learning methods
- individual classifiers
- classification decisions
- possibility theory
- classifier ensemble
- classification systems
- ensemble learning
- multilayer perceptron
- classification method
- training examples
- unsupervised learning
- image classification
- machine learning
- neural network