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Learnable wavelet activations can significantly enhance plasticity in continual learning, preventing catastrophic forgetting while maintaining performance across tasks.
Layer-wise analysis reveals that replay-induced representation drift and optimization dependence are key to understanding catastrophic forgetting in continual learning.
