Example Based Explanation in Machine Learning

A project aiming to implement several approaches to example based explanation, for use with a TensorFlow 2 model.

Currently Implemented

• Influence Functions
• RelatIF
• Representer Points

Future Work

• Data Shapley
• Documentation
• Fisher Kernels

Examples

The scripts folder contain examples of some standard models and datasets, on which the different approaches have been applied. Some of these results are then visualised and compared in the notebooks folder in the form of Jupyter notebooks.

References

• Influence Functions: https://arxiv.org/abs/1703.04730
• RelatIF: https://arxiv.org/abs/2003.11630
• Representer Points: https://arxiv.org/abs/1811.09720
• Data Shapley: https://arxiv.org/abs/1904.02868
• Fisher Kernels: https://arxiv.org/abs/1810.10118v1