Confidence Optimal Transport

run_estimation.py implements our proposed Confidence Optimal Transport algorithm.

Warning - Please do not distribute

This is a private repository's clone for demonstration. The latest results with more refined experiment codes are not disclosed until the NeurIPS 2023 decision is out.

For more elaboration of the experiments, You may refer to our paper Predicting Out-of-Distribution Error with Confidence Optimal Transport for more details.