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

Related tags

Deep LearningConditional_entropy_minimization_for_Domain_generalization
Overview

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

Owner
GitHub Repository
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