Localizing Catastrophic Forgetting In Neural Networks
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**arXiv ID:** 1906.02568 **Authors:** Felix Wiewel, Bin Yang **Published:** 2019-06-06T13:18:03Z **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 thr...
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# Localizing Catastrophic Forgetting in Neural Networks
**arXiv ID:** 1906.02568
**Authors:** Felix Wiewel, Bin Yang
**Published:** 2019-06-06T13:18:03Z
**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.
## Skill Description
This skill is generated from the arXiv paper: Localizing Catastrophic Forgetting in Neural Networks (1906.02568).
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## References
- [arXiv:1906.02568](http://arxiv.org/abs/1906.02568v1)
