Human-interpretable model explainability on high-dimensional data

no code implementations • 14 Oct 2020 • Damien de Mijolla, Christopher Frye, Markus Kunesch, John Mansir, Ilya Feige

The importance of explainability in machine learning continues to grow, as both neural-network architectures and the data they model become increasingly complex.

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