3 papers
cs.LG2023
RTRA: Rapid Training of Regularization-based Approaches in Continual Learning
Sahil Nokhwal, Nirman Kumar
Catastrophic forgetting(CF) is a significant challenge in continual learning (CL). In regularization-based approaches to mitigate CF, modifications to important training parameters…
cs.LG2023
DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning
Sahil Nokhwal, Nirman Kumar
Rehearsal-based techniques are commonly used to mitigate catastrophic forgetting (CF) in Incremental learning (IL). The quality of the exemplars selected is important for this purp…
cs.LG2023
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning
Sahil Nokhwal, Nirman Kumar
We propose a novel exemplar selection approach based on Principal Component Analysis (PCA) and median sampling, and a neural network training regime in the setting of class-increme…