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CIL
CIL CIL, or class-incremental learning, is a form of learning in which a model keeps adding new categories over time while trying to retain what it learned about earlier categories.
CIL, or class-incremental learning, is a form of learning in which a model keeps adding new categories over time while trying to retain what it learned about earlier categories. A central challenge is avoiding catastrophic forgetting, where performance on older classes declines as the model adapts to new ones.