2 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.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…