[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
MIT License
1.75k
stars
232
forks
source link
The generic Deep Taylor Decomposition formula in the paper #60
The generic Deep Taylor Decomposition formula in the paper seems to be different as the formula in reference 27. The Deep Taylor Decomposition formula in Reference 27 requires selecting a root. Could you please show me how this formula was derived? Thank you!
The generic Deep Taylor Decomposition formula in the paper seems to be different as the formula in reference 27. The Deep Taylor Decomposition formula in Reference 27 requires selecting a root. Could you please show me how this formula was derived? Thank you!![1691080115266](https://github.com/hila-chefer/Transformer-Explainability/assets/49787490/46820356-58a8-4bb1-a294-c0ed3938e2b2)