Rethinking Obscured Sub-optimality in Analytic Learning for Exemplar-Free Class-Incremental Learning
Abstract: Exemplar-free Class-Incremental Learning (EFCIL) poses a significant challenge in mitigating catastrophic forgetting, due to the absence of exemplars. Recently, analytic learning-based ...
Abstract: Datasets used in data analysis often contain irrelevant or redundant attributes. These attributes hinder the performance of predictive models. Therefore, an effective preprocessing feature ...
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