Construct · 1 fields · 1 citations

lazy training: a standalone construct

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Machine learning

a training regime in which a heavily scaled model barely moves its parameters and behaves like its linearization, so it learns little beyond a fixed kernel.

In machine learning, lazy training refers to a training regime in which a heavily scaled model barely moves its parameters and behaves like its linearization, so it learns little beyond a fixed kernel. This meaning comes from Chizat (2018) in arXiv.[1]

Unit
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Nearby constructs

kernel4 fields · 5 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs model3 fields · 3 citationsjingle · one word, three constructs

References

Chizat, L., Oyallon, E., & Bach, F. (2018). On Lazy Training in Differentiable Programming. arXiv. https://doi.org/10.48550/arxiv.1812.07956

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