Hyung-Jun Moon

Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning

Continual learning methods used to force neural networks to process sequential tasks in isolation, preventing them from leveraging useful inter-task relationships and causing them to repeatedly relearn similar features or overly differentiate them. To address this problem, we propose a fully differe