Awesome
Recalibrating Conformal Prediction
Test-time recalibration of conformal predictors based on unlabeled data for improved performance under test distribution shift.
Requirements
The following Python libraries are required to run the code in this repository:
torch
torchvision
Other requirements can be installed with pip install -r requirements.txt
. The above two libraries are not included in requirements.txt
for safe measure.
Usage
All the figures in the paper can be reproduced by running this notebook
Citation
@article{yilmazheckel2022RecalibratingConformal,
author = {Fatih Furkan Yilmaz and Reinhard Heckel},
title = {Test-time Recalibration of Conformal Predictors Under Distribution Shift Based on Unlabeled Examples},
journal = {arXiv:2210.04166},
year = {2022}
}
Licence
All files are provided under the terms of the Apache License, Version 2.0.