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  • Jun 27, 2023 | onlinelibrary.wiley.com | Ziwei Li |Jiayi Xu |Wei-Lun Chao |Han-Wei Shen

    5.5.1. Measuring Filter-Level Information Drift To support in-depth analysis from the perspective of model behaviors, we need to extract information that is able to represent the knowledge acquired in the past and also associated with the model parameters (R3.2). Moreover, as our goal is to visualize how past knowledge is interfered over time, the extracted information should be comparable along the temporal dimension.

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