Construct · 1 fields · 1 citations

robust overfitting: 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

the drop in robust test accuracy that follows its peak during adversarial training, while robust training accuracy keeps rising.

In machine learning, robust overfitting refers to the drop in robust test accuracy that follows its peak during adversarial training, while robust training accuracy keeps rising. This meaning comes from Rice (2020) in arXiv.[1]

Unit
Recovery means
Measured by

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

See how robust overfitting 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 adversarial training1 fields · 1 citationsanchor · a standalone construct learning6 fields · 14 citationsjingle · one name, six constructs

References

Rice, L., Wong, E., & Kolter, J. Z. (2020). Overfitting in adversarially robust deep learning. arXiv. https://doi.org/10.48550/arxiv.2002.11569

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