Construct · 1 fields · 1 citations

model-agnostic meta-learning: a standalone construct

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Machine learning

meta-learning initial model parameters so that a few gradient steps on a small amount of data from a new task already give good performance.

In machine learning, model-agnostic meta-learning refers to meta-learning initial model parameters so that a few gradient steps on a small amount of data from a new task already give good performance. This meaning comes from Finn (2017) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

good2 fields · 5 citationsjingle · one word, two constructs gradient4 fields · 4 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Finn, C., Abbeel, P., & Levine, S. (2017). Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. arXiv. https://doi.org/10.48550/arxiv.1703.03400

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