Fast Single-Class Classification and the Principle of Logit Separation
Fast Single-Class Classification and the Principle of Logit Separation
We consider neural network training, in applications in which there are many possible classes, but at test-time, the task is a binary classification task of determining whether the given example belongs to a specific class, where the class of interest can be different each time the classifier is applied. For …