Datamodels: Predicting Predictions from Training Data

2022 inproceedings ilyas2022datamodels ⚠ Needs review - 1 field differ

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

Authors

Andrew Ilyas, Sung Min Park, Logan Engstrom, Guillaume Leclerc, Aleksander Madry

Venue

International Conference on Machine Learning (ICML)

Abstract

Proposes datamodels that predict model outputs as a function of training data subsets, providing a framework for understanding data attribution through retraining experiments.

BibTeX

Local Entry

@inproceedings{ilyas2022datamodels,
  title = {Datamodels: Predicting Predictions from Training Data},
  author = {Andrew Ilyas and Sung Min Park and Logan Engstrom and Guillaume Leclerc and Aleksander Madry},
  year = {2022},
  booktitle = {International Conference on Machine Learning (ICML)},
  url = {https://arxiv.org/abs/2202.00622},
  abstract = {Proposes datamodels that predict model outputs as a function of training data subsets, providing a framework for understanding data attribution through retraining experiments.}
}

From AUTO:OPENALEX

@inproceedings{ilyas2022datamodels,
  title = {Datamodels: Predicting Predictions from Training Data},
  author = {Andrew Ilyas and Sung Min Park and Logan Engstrom and Guillaume Leclerc and Aleksander Ma̧dry},
  year = {2022},
  booktitle = {arXiv (Cornell University)},
  doi = {10.48550/arxiv.2202.00622}
}