Understanding Black-box Predictions via Influence Functions

2017 inproceedings koh2017understanding ⚠ Needs review - 1 field differ

Fields with differences: venue. Compare local vs external BibTeX below.

Authors

Pang Wei Koh, Percy Liang

Venue

Proceedings of the 34th International Conference on Machine Learning (ICML)

Abstract

Uses influence functions from robust statistics to trace model predictions back to training data, identifying training points most responsible for a given prediction.

BibTeX

Local Entry

@inproceedings{koh2017understanding,
  title = {Understanding Black-box Predictions via Influence Functions},
  author = {Pang Wei Koh and Percy Liang},
  year = {2017},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning (ICML)},
  url = {https://proceedings.mlr.press/v70/koh17a.html},
  abstract = {Uses influence functions from robust statistics to trace model predictions back to training data, identifying training points most responsible for a given prediction.}
}

From AUTO:OPENALEX

@inproceedings{koh2017understanding,
  title = {Understanding Black-box Predictions via Influence Functions},
  author = {Pang Wei Koh and Percy Liang},
  year = {2017},
  booktitle = {arXiv (Cornell University)},
  doi = {10.48550/arxiv.1703.04730}
}