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

Last update: Nov 02, 2022

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:

torch 1.6.0
torchvision 0.7.0
numpy 1.19.1
tqdm 4.41.1

Owner

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

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Overview

Owner

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