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Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"

Python 99.48% Shell 0.52%
disentanglement contrastive-learning deep-learning fairness machine-learning variational-autoencoder invariant-representation

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farconvae's Issues

How binary data for the Adult income dataset is generated?

Dear Chang,

I am trying to reproduce the paper's results. From what I see, the Adult income dataset has been transformed into binary format. Could you please advice me on how you did that, especially for numerical attributes?

Thank you so much. Your answert will be appreciated.

Original Adult data
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The data used in the project
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