PyTorch Implementation of Influence Function

Influence function for neural networks is proposed in the ICML2017 best paper (Wei Koh & Liang, 2017). However, to the best of my knowledge, there is no generic PyTorch implementation with reliable test codes. Based on some existing implementations, I’m developing reliable Pytorch implementation of influence function.

My repositories are forks of the following great work.

Ryo Kamoi
Ryo Kamoi
Ph.D. Student

PhD student at Penn State University (2023-), MS at UT Austin, BE at Keio University. My research interests are in building trustworthy natural language processing systems.