General • 16 methods
Interpretability Methods seek to explain the predictions made by neural networks by introducing mechanisms to enduce or enforce interpretability. For example, LIME approximates the neural network with a locally interpretable model. Below you can find a continuously updating list of interpretability methods.
Method | Year | Papers |
---|---|---|
2017 | 331 | |
2016 | 280 | |
2015 | 207 | |
2015 | 147 | |
2023 | 39 | |
2020 | 13 | |
2017 | 11 | |
2019 | 2 | |
2022 | 2 | |
2018 | 1 | |
2019 | 1 | |
2020 | 1 | |
1 | ||
2021 | 1 | |
2022 | 1 | |
2023 | 1 |