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20202023
most citedHave We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations

7 citations · 12 across the 6 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

stat.ML2021★ 2 cited

FastSHAP: Real-Time Shapley Value Estimation

Neil Jethani, Mukund Sudarshan, Ian Covert +2

Shapley values are widely used to explain black-box models, but they are costly to calculate because they require many model evaluations. We introduce FastSHAP, a method for estima…

stat.ML2021★ 7 cited

Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations

Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs +1

While the need for interpretable machine learning has been established, many common approaches are slow, lack fidelity, or hard to evaluate. Amortized explanation methods reduce th…