What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
Ido GalilMohammed DabbahRan El-YanivPublished in: ICLR (2023)
Keyphrases
- linear classifiers
- prediction accuracy
- ensemble classifier
- support vector
- prediction error
- prediction model
- training data
- neural networks and support vector machines
- decision trees
- linear svm
- test set
- parameter estimation
- uncertain data
- classification algorithm
- classifier training
- svm classifier
- feature selection
- image collections
- hierarchical structure
- data sets
- estimation error
- class labels
- multi layer perceptron
- decision theory
- machine learning algorithms
- training samples
- feature set