Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Tabular GANs for Uneven Distribution

Version 1 : Received: 1 October 2020 / Approved: 5 October 2020 / Online: 5 October 2020 (17:45:43 CEST)

How to cite: Ashrapov, I. Tabular GANs for Uneven Distribution. Preprints 2020, 2020100101 (doi: 10.20944/preprints202010.0101.v1). Ashrapov, I. Tabular GANs for Uneven Distribution. Preprints 2020, 2020100101 (doi: 10.20944/preprints202010.0101.v1).

Abstract

GANs are well known for success in the realistic image gen-eration. However, they can be applied in tabular data generation as well.We will review and examine some recent papers about tabular GANs inaction. We will generate data to make train distribution bring closer tothe test. Then compare model performance trained on the initial traindataset, with trained on the train with GAN generated data, also wetrain the model by sampling train by adversarial training. We show thatusing GAN might be an option in case of uneven data distribution be-tween train and test data

Subject Areas

deep learning; gans; tabular data

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