Construct · 1 fields · 1 citations

deep ensembles: a standalone construct

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

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Machine learning

training several networks independently from different random starts and combining their predictions to estimate predictive uncertainty.

In machine learning, deep ensembles refers to training several networks independently from different random starts and combining their predictions to estimate predictive uncertainty. This meaning comes from Lakshminarayanan (2016) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

learning6 fields · 14 citationsjingle · one name, six constructs training3 fields · 5 citationsjingle · one word, three constructs uncertainty3 fields · 3 citationsjingle · one word, three constructs

References

Lakshminarayanan, B., Pritzel, A., & Blundell, C. (2016). Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles. arXiv. https://doi.org/10.48550/arxiv.1612.01474

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