11 citations · 13 across the 4 of their papers we have counts for
3 papers · 1 filter
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya
Continual learning focuses on learning non-stationary data distribution without forgetting previous knowledge. Rehearsal-based approaches are commonly used to combat catastrophic f…
Variational Density Propagation Continual Learning
Christopher Angelini, Nidhal Bouaynaya, Ghulam Rasool
Deep Neural Networks (DNNs) deployed to the real world are regularly subject to out-of-distribution (OoD) data, various types of noise, and shifting conceptual objectives. This pap…
The Importance of Robust Features in Mitigating Catastrophic Forgetting
Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool
Continual learning (CL) is an approach to address catastrophic forgetting, which refers to forgetting previously learned knowledge by neural networks when trained on new tasks or d…