Dark Experience for General Continual Learning: a Strong, Simple Baseline

15 Apr 2020Pietro BuzzegaMatteo BoschiniAngelo PorrelloDavide AbatiSimone Calderara

Neural networks struggle to learn continuously, as they forget the old knowledge catastrophically whenever the data distribution changes over time. Recently, Continual Learning has inspired a plethora of approaches and evaluation settings; however, the majority of them overlooks the properties of a practical scenario, where the data stream cannot be shaped as a sequence of tasks and offline training is not viable... (read more)

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