The supplementary material is for the Neurips2022 paper "Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios" submission.
For reviewers check the correctness of the code only.

We provide our POAL code with classical ML and DL tasks versions.
We prodide the appendix of our POAL paper. 