26 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Utilizing Priming to Identify Optimal Class Ordering to Alleviate Catastrophic Forgetting
Gabriel Mantione-Holmes, Justin Leo, Jugal Kalita
In order for artificial neural networks to begin accurately mimicking biological ones, they must be able to adapt to new exigencies without forgetting what they have learned from p…
cs.LG2021★ 26 cited
Incremental Deep Neural Network Learning using Classification Confidence Thresholding
Justin Leo, Jugal Kalita
Most modern neural networks for classification fail to take into account the concept of the unknown. Trained neural networks are usually tested in an unrealistic scenario with only…
cs.LG2019
Moving Towards Open Set Incremental Learning: Readily Discovering New Authors
Justin Leo, Jugal Kalita
The classification of textual data often yields important information. Most classifiers work in a closed world setting where the classifier is trained on a known corpus, and then i…