CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification.
Korbinian RandlJohn PavlopoulosAron HenrikssonTony LindgrenPublished in: ACL (Findings) (2024)
Keyphrases
- multi class
- multi class classifier
- error correcting output codes
- support vector machine
- multi class classification
- binary and multi class
- class probabilities
- multiclass classification
- cost sensitive
- binary classifiers
- multi class boosting
- multi class classifiers
- large margin classifiers
- multiple classes
- binary classification problems
- multi class object detection
- classification algorithm
- supervised learning
- object detection
- learning algorithm
- data mining
- machine learning
- feature selection
- feature extraction
- multi class svm
- learning process
- feature space
- support vector
- multiclass problems
- group sparsity
- multi class problems
- feature vectors
- multi class svms
- binary classification tasks
- image classification
- learning problems