Closed VenkateshSatagopan closed 3 years ago
Thank you for the question.
Please refer to appendix F of the paper. influence(tracin score) = lg_sim (error_similarity) * a_sim (encoding similarity)
Thanks frederick, I got it now about the influence score calculation.
Hi Frederick, Thanks for your colab notebook implementation. I am trying to understand the calculation of TracIN score in the notebook "resnet50_imagenet_proponents_opponents" where you calculate 3 scores in the loss function as shown below
Here you calculate lg_sim, a_sim, and scores and mention them as error_similarity, encoding similarity and influence when you display proponents and opponents for a particular test image. lg_sim calculation is similar to the formula for calculating TracIN mentioned in the paper. so is the lg_sim score is equivalent to TracIN scores for differentiating proponents and opponents? Is my understanding correct? If so what are the significance of a_sim and scores parameters?
Thanks in Advance