2 papers
cs.LG2022
Open-Set Recognition of Breast Cancer Treatments
Alexander Cao, Diego Klabjan, Yuan Luo
Open-set recognition generalizes a classification task by classifying test samples as one of the known classes from training or "unknown." As novel cancer drug cocktails with impro…
cs.LG2020
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
Alexander Cao, Yuan Luo, Diego Klabjan
In inference, open-set classification is to either classify a sample into a known class from training or reject it as an unknown class. Existing deep open-set classifiers train exp…