8 citations · 26 across the 7 of their papers we have counts for
4 papers · 1 filter
Accelerating Neural Network Training: A Brief Review
Sahil Nokhwal, Priyanka Chilakalapudi, Preeti Donekal +3
The process of training a deep neural network is characterized by significant time requirements and associated costs. Although researchers have made considerable progress in this a…
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…
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…
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…