Construct · 1 fields · 1 citations

Monte Carlo dropout: a standalone construct

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

● anchor · a standalone construct Nearest construct by meaning·not indexed

A single standalone construct; nearby constructs are located against it in the Collider. Tap a field for its definition, unit, and measures.

Machine learning

keeping dropout active at prediction time and averaging many passes, interpreted as approximate Bayesian inference that yields model uncertainty estimates.

In machine learning, Monte Carlo dropout refers to keeping dropout active at prediction time and averaging many passes, interpreted as approximate Bayesian inference that yields model uncertainty estimates. This meaning comes from Gal (2015) in arXiv.[1]

Unit
Recovery means
Measured by

Run it through the Collider, or take the citations with you.

See how Monte Carlo dropout sits against neighbouring constructs in the Collider, or export every reference on this page in one click.

Open in Collider Export BibTeX Report this entry

Nearby constructs

dropout3 fields · 3 citationsjingle · one word, three constructs inference3 fields · 5 citationsjingle · one word, three constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Gal, Y., & Ghahramani, Z. (2015). Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning. arXiv. https://doi.org/10.48550/arxiv.1506.02142

Cited on this page?

Confirm your construct, or correct us.

If your work is cited behind one of these entries, you know better than we do whether we captured the meaning right. Confirm it, suggest an edit, or dispute it, and your name goes on the entry as an author who has checked it, linked to your ORCID.

Claim your construct