Construct · 1 fields · 1 citations

spectral bias: a standalone construct

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

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Machine learning

neural networks learn low-frequency components of a target function first and fit high-frequency detail only later in training.

In machine learning, spectral bias refers to neural networks learn low-frequency components of a target function first and fit high-frequency detail only later in training. This meaning comes from Rahaman (2018) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

bias6 fields · 8 citationsjingle · one name, six constructs function5 fields · 6 citationsjingle · one word, five constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Rahaman, N., Baratin, A., Arpit, D., Draxler, F., Lin, M., Hamprecht, F. A., Bengio, Y., & Courville, A. (2018). On the Spectral Bias of Neural Networks. arXiv. https://doi.org/10.48550/arxiv.1806.08734

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