3 papers
cs.CV2024
Cascading Unknown Detection with Known Classification for Open Set Recognition
Daniel Brignac, Abhijit Mahalanobis
Deep learners tend to perform well when trained under the closed set assumption but struggle when deployed under open set conditions. This motivates the field of Open Set Recogniti…
cs.CV2023
Adapting Classifiers To Changing Class Priors During Deployment
Natnael Daba, Bruce McIntosh, Abhijit Mahalanobis
Conventional classifiers are trained and evaluated using balanced data sets in which all classes are equally present. Classifiers are now trained on large data sets such as ImageNe…
cs.LG2023
Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning
Daniel Brignac, Niels Lobo, Abhijit Mahalanobis
Continual learning seeks to enable deep learners to train on a series of tasks of unknown length without suffering from the catastrophic forgetting of previous tasks. One effective…