A continual learning survey: Defying forgetting in classification tasks

18 Sep 2019Matthias De LangeRahaf AljundiMarc MasanaSarah ParisotXu JiaAles LeonardisGregory SlabaughTinne Tuytelaars

Artificial neural networks thrive in solving the classification problem for a particular rigid task, acquiring knowledge through generalized learning behaviour from a distinct training phase. The resulting network resembles a static entity of knowledge, with endeavours to extend this knowledge without targeting the original task resulting in a catastrophic forgetting... (read more)

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