Construct · 1 fields · 1 citations

loss of plasticity: a standalone construct

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

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Machine learning

deep networks trained on a long sequence of tasks gradually lose the ability to learn new tasks as well as a freshly initialized network.

In machine learning, loss of plasticity refers to deep networks trained on a long sequence of tasks gradually lose the ability to learn new tasks as well as a freshly initialized network. This meaning comes from Dohare (2024) in Nature.[1]

Unit
Recovery means
Measured by

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Nearby constructs

learning6 fields · 14 citationsjingle · one name, six constructs loss2 fields · 3 citationsjingle · one word, two constructs network4 fields · 6 citationsjingle · one word, four constructs

References

Dohare, S., Hernandez-Garcia, J. F., Lan, Q., Rahman, P., Mahmood, A. R., & Sutton, R. S. (2024). Loss of plasticity in deep continual learning. Nature, 632(8026), 768-774. https://doi.org/10.1038/s41586-024-07711-7

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