Construct · 1 fields · 1 citations

neural network miscalibration: 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

modern deep classifiers tend to report confidence scores higher than their actual accuracy, so predicted probabilities are poorly calibrated.

In machine learning, neural network miscalibration refers to modern deep classifiers tend to report confidence scores higher than their actual accuracy, so predicted probabilities are poorly calibrated. This meaning comes from Guo (2017) in arXiv.[1]

Unit
Recovery means
Measured by

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

See how neural network miscalibration 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

accuracy3 fields · 6 citationsjingle · one word, three constructs confidence4 fields · 5 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Guo, C., Pleiss, G., Sun, Y., & Weinberger, K. Q. (2017). On Calibration of Modern Neural Networks. arXiv. https://doi.org/10.48550/arxiv.1706.04599

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