Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation

Christopher Angelini, Nidhal Bouaynaya

When fine-tuning Deep Neural Networks (DNNs) to new data, DNNs are prone to overwriting network parameters required for task-specific functionality on previously learned tasks, res…