Transfer learning is widely used for training deep neural networks (DNN)...
Since the beginning of world-wide COVID-19 pandemic, facial masks have b...
Generally, regularization-based continual learning models limit access t...
Non-local (NL) block is a popular module that demonstrates the capabilit...
We propose a quadratic penalty method for continual learning of neural
n...
We propose a novel continual learning method called Residual Continual
L...
Transferrable neural architecture search can be viewed as a binary
optim...