Construct · 1 fields · 1 citations

gradient starvation: a standalone construct

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Machine learning

under cross-entropy training, features learned early dominate the gradient and keep the network from learning other predictive features.

In machine learning, gradient starvation refers to under cross-entropy training, features learned early dominate the gradient and keep the network from learning other predictive features. This meaning comes from Pezeshki (2020) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

gradient4 fields · 4 citationsjingle · one word, four constructs learning6 fields · 14 citationsjingle · one name, six constructs network4 fields · 6 citationsjingle · one word, four constructs

References

Pezeshki, M., Kaba, S., Bengio, Y., Courville, A., Precup, D., & Lajoie, G. (2020). Gradient Starvation: A Learning Proclivity in Neural Networks. arXiv. https://doi.org/10.48550/arxiv.2011.09468

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