Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks.
Shreyas PadhyZachary NadoJie RenJeremiah Z. LiuJasper SnoekBalaji LakshminarayananPublished in: CoRR (2020)
Keyphrases
- neural network
- multiclass classification
- training data
- detection method
- binary classifiers
- support vector
- object detection
- detection algorithm
- artificial neural networks
- decision trees
- data distribution
- pattern recognition
- linear classifiers
- binary classification
- uncertain data
- multilayer perceptron
- feature selection
- machine learning algorithms
- naive bayes
- training samples
- training set
- fuzzy logic
- probability distribution
- input pattern
- neuro fuzzy systems
- nearest neighbour
- predictive model
- object detectors
- data sets
- decision theory
- classification models
- detection rate
- cross validation
- svm classifier
- false positives
- test set
- back propagation
- anomaly detection