Implementation for "Conditional entropy minimization principle for learning domain invariant representation features"

Implementation for "Conditional entropy minimization principle for learning domain invariant representation features".

The code is reproduced from this repo at https://github.com/ahujak/IB-IRM.

Please see the guideline for running in each sub-dataset folder.

Requirements:

1. torch 1.6.0

2. torchvision 0.7.0

3. numpy 1.19.1

4. tqdm 4.41.1