The author addresses the challenges of imbalanced class-incremental learning by proposing a gradient reweighting method to balance optimization and prevent catastrophic forgetting.
Imbalanced data poses challenges in class-incremental learning, addressed by reweighting gradients for balanced optimization and unbiased classifier learning.