Construct · 1 fields · 1 citations

shortcut learning: a standalone construct

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

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Machine learning

when models learn decision rules that work on standard benchmarks but fail on real-world tests because they exploit easy, unintended cues.

In machine learning, shortcut learning refers to when models learn decision rules that work on standard benchmarks but fail on real-world tests because they exploit easy, unintended cues. This meaning comes from Geirhos (2020) in Nature Machine Intelligence.[1]

Unit
Recovery means
Measured by

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Nearby constructs

intelligence6 fields · 14 citationsjingle · one name, six constructs learning6 fields · 14 citationsjingle · one name, six constructs work4 fields · 4 citationsjingle · one word, four constructs

References

Geirhos, R., Jacobsen, J., Michaelis, C., Zemel, R., Brendel, W., Bethge, M., & Wichmann, F. A. (2020). Shortcut learning in deep neural networks. Nature Machine Intelligence, 2(11), 665-673. https://doi.org/10.1038/s42256-020-00257-z

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