arXiv · 1906.02568
Localizing Catastrophic Forgetting in Neural Networks
Abstract
Artificial neural networks (ANNs) suffer from catastrophic forgetting when trained on a sequence of tasks. While this phenomenon was studied in the past, there is only very limited recent research on this phenomenon. We propose a method for determining the contribution of individual parameters in an ANN to catastrophic forgetting. The method is used to analyze an ANNs response to three different continual learning scenarios.
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Felix Wiewel, Bin Yang. 2019-06-06. Localizing Catastrophic Forgetting in Neural Networks. https://arxiv.org/abs/1906.02568
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