Construct · 1 fields · 1 citations

simplicity bias: a standalone construct

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

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Machine learning

the tendency of neural networks trained by gradient descent to rely on the simplest predictive features while ignoring more complex ones, which harms robustness.

In machine learning, simplicity bias refers to the tendency of neural networks trained by gradient descent to rely on the simplest predictive features while ignoring more complex ones, which harms robustness. This meaning comes from Shah (2020) in arXiv.[1]

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Nearby constructs

bias6 fields · 8 citationsjingle · one name, six constructs complex4 fields · 4 citationsjingle · one word, four constructs descent3 fields · 4 citationsjingle · one word, three constructs

References

Shah, H., Tamuly, K., Raghunathan, A., Jain, P., & Netrapalli, P. (2020). The Pitfalls of Simplicity Bias in Neural Networks. arXiv. https://doi.org/10.48550/arxiv.2006.07710

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