Construct · 1 fields · 1 citations

epoch-wise double descent: a standalone construct

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Machine learning

test error that falls, rises and falls again as training runs longer, so extra epochs can first hurt then help a large model.

In machine learning, epoch-wise double descent refers to test error that falls, rises and falls again as training runs longer, so extra epochs can first hurt then help a large model. This meaning comes from Nakkiran (2019) in arXiv.[1]

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Recovery means
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Nearby constructs

descent3 fields · 4 citationsjingle · one word, three constructs double descent1 fields · 1 citationsanchor · a standalone construct error4 fields · 8 citationsjingle · one word, four constructs

References

Nakkiran, P., Kaplun, G., Bansal, Y., Yang, T., Barak, B., & Sutskever, I. (2019). Deep Double Descent: Where Bigger Models and More Data Hurt. arXiv. https://doi.org/10.48550/arxiv.1912.02292

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