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Charaterizing Out-of-distribution Error via Optimal Transport

This repository is the official implementation of our NeurIPS 2023 paper Charaterizing Out-of-distribution Error via Optimal Transport. A shorted version, Predicting Out-of-Distribution Error with Confidence Optimal Transport, was published earlier in ICLR 2023 Workshop.

run_estimation.py contains implementation of COT/COTT and baselines we compare against.

Questions?

Feel free to open an issue, or contact me at yuzhelu@cs.cmu.edu.

Credits

We built upon code for ATC and RLSBench. We thank the authors for open sourcing their code.