deep-explanation-penalization

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

neural-network artificial-intelligence

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14 Forks

127 Watchers

Jupyter Notebook Language

mit License

100 SrcLog Score

Cost to Build

$2.01M

Market Value

$3.44M

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Growth over time

8 data points · 2021-08-01 → 2026-04-01

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What is the laura-rieger/deep-explanation-penalization GitHub project? Description: "Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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