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j-bl committed Aug 30, 2023
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## Overview <a name="overview"></a>

This repository provides code to use the method presented in our GCPR 2023 paper **"Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization"**. If you want to get started, take a look at our [example network](regression_network.py) and the corresponding [jupyter notebook](feature_steering_example.ipynb).
This repository provides code to use the method presented in our DAGM GCPR 2023 paper **"Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization"**. If you want to get started, take a look at our [example network](regression_network.py) and the corresponding [jupyter notebook](feature_steering_example.ipynb).

If you are only interested in the implementation of the feature steering part of the loss, you can find it in `feat_steering_loss(...)` of [regression_network.py](regression_network.py).

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