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洞見 - Imbalanced Class-Incremental Learning
Gradient Reweighting: Addressing Imbalanced Class-Incremental Learning Challenges
Imbalanced data poses challenges in class-incremental learning, addressed by reweighting gradients for balanced optimization and unbiased classifier learning.
Addressing Imbalanced Class-Incremental Learning with Gradient Reweighting
The author addresses the challenges of imbalanced class-incremental learning by proposing a gradient reweighting method to balance optimization and prevent catastrophic forgetting.