2 citations · 3 across the 7 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
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…
cs.LG2019★ 2 cited
BasisConv: A method for compressed representation and learning in CNNs
Muhammad Tayyab, Abhijit Mahalanobis
It is well known that Convolutional Neural Networks (CNNs) have significant redundancy in their filter weights. Various methods have been proposed in the literature to compress tra…