Construct · 1 fields · 1 citations

elastic weight consolidation: a standalone construct

One name. One construct. A landmark on the map.

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elastic weightconsolidation1 CONSTRUCTElastic weightKIRKPATRICK · MACHINE LEARNING

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Machine learning

protecting weights important to earlier tasks by penalizing changes to them in proportion to their estimated importance, to reduce catastrophic forgetting.

In machine learning, elastic weight consolidation refers to protecting weights important to earlier tasks by penalizing changes to them in proportion to their estimated importance, to reduce catastrophic forgetting. This meaning comes from Kirkpatrick (2017) in Proceedings of the National Academy of Sciences.[1]

Unit
Recovery means
Measured by

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Nearby constructs

consolidation3 fields · 4 citationsjingle · one word, three constructsforgetting3 fields · 3 citationsjingle · one word, three constructslearning6 fields · 14 citationsjingle · one name, six constructs

References

  1. Kirkpatrick, J., Pascanu, R., Rabinowitz, N., Veness, J., Desjardins, G., Rusu, A. A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., Hassabis, D., Clopath, C., Kumaran, D., & Hadsell, R. (2017). Overcoming catastrophic forgetting in neural networks. Proceedings of the National Academy of Sciences, 114(13), 3521-3526. https://doi.org/10.1073/pnas.1611835114

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