Henry Huang

Navigating parameter space: mitigating catastrophic forgetting in continual learning

Investigation of the influence of fully connected FC layer architecture on parameter regularization in the class incremental learning setting using a modified ResNet-18 trained on the CIFAR-10 dataset provides both a novel parameter regularization strategy and new insights into the interaction between network architecture and catastrophic forgetting in continual learning.