In this repository, we replicated some of the experiments discussed in Koh et al's paper titled "Understanding Black-box Predictions via Influence Functions". The original code can be found here: http://bit.ly/gt-influence.
We focused on two use cases of influence functions discussed in the paper:
- Understanding model behavior
- Debugging domain mismatch
For each task, we replicated the results presented in the paper and implemented additional experiments using other datasets or other models. For a more detailed description of our work and our findings, kindly refer to the report.
The datasets and model weights used for the first application "Understanding model behavior" can be downloaded:
- Inception V3 weights
- Inception ResNet V2 weights
- DogFish Dataset (From Koh's replication package of the paper)