Construct · 1 fields · 1 citations

effective robustness: a standalone construct

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Machine learning

accuracy under natural distribution shift beyond what a model's in-distribution accuracy would predict from the trend across many models.

In machine learning, effective robustness refers to accuracy under natural distribution shift beyond what a model's in-distribution accuracy would predict from the trend across many models. This meaning comes from Taori (2020) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

accuracy3 fields · 6 citationsjingle · one word, three constructs distribution2 fields · 2 citationsjingle · one word, two constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Taori, R., Dave, A., Shankar, V., Carlini, N., Recht, B., & Schmidt, L. (2020). Measuring Robustness to Natural Distribution Shifts in Image Classification. arXiv. https://doi.org/10.48550/arxiv.2007.00644

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