Matthew Gombolay

Using Cross-Loss Influence Functions to Explain Deep Network Representations.

2020 · arXiv (Cornell University)

As machine learning is increasingly deployed in the real world, it is ever more vital that we understand the decision-criteria of the models we train. Recently, researchers have shown that influence functions, a statistical measure …