Hien V. Nguyen

Multiple Class Novelty Detection Under Data Distribution Shift

The novelty detection models learn a decision boundary around multiple categories of a given dataset. This helps such models in detecting any novel classes encountered during testing. However, in many cases, the test data distribution can be different from that of the training data. For such cases,…