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20132023
most citedTowards A Rigorous Science of Interpretable Machine Learning

3.2k citations · 7.4k across the 37 of their papers we have counts for

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Showing 2016Show all

2 papers · 1 filter

stat.ML2016★ 7 cited

Proceedings of NIPS 2016 Workshop on Interpretable Machine Learning for Complex Systems

Andrew Gordon Wilson, Been Kim, William Herlands

This is the Proceedings of NIPS 2016 Workshop on Interpretable Machine Learning for Complex Systems, held in Barcelona, Spain on December 9, 2016

stat.ML2016★ 24 cited

Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016)

Been Kim, Dmitry M. Malioutov, Kush R. Varshney

This is the Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), which was held in New York, NY, June 23, 2016. Invited speakers were Sus…