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"Interpretability, Then What? Editing Machine Learning Models to Reflect ..."

Zijie J. Wang et al. (2022)

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DOI: 10.48550/ARXIV.2206.15465

access: open

type: Informal or Other Publication

metadata version: 2023-03-10

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  - journals/corr/abs-2206-15465
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  - https://dblp.org/rec/journals/corr/abs-2206-15465
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana:
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. CoRR abs/2206.15465 (2022)

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