https://arxiv.org/abs/1703.04730 https://arxiv.org/abs/1703.04730 > How can we explain the predictions of a black-box model? In this paper, we use influence fu

https://arxiv.org/abs/1703.04730 https://arxiv.org/abs/1703.04730 > How can we explain the predictions of a black-box model? In this paper, we use influence functions -- a classic technique from robust statistics -- to trace a model's prediction through the learning algorithm and back to its training data, thereby identifying training points most responsible for a given prediction.