Understanding the Role of Training Regimes in Continual Learning

12 Jun 2020Seyed Iman MirzadehMehrdad FarajtabarRazvan PascanuHassan Ghasemzadeh

Catastrophic forgetting affects the training of neural networks, limiting their ability to learn multiple tasks sequentially. From the perspective of the well established plasticity-stability dilemma, neural networks tend to be overly plastic, lacking the stability necessary to prevent the forgetting of previous knowledge, which means that as learning progresses, networks tend to forget previously seen tasks... (read more)

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