Answers.Body: <p>In reality GANs are not made for image classification, but for data generation, and they have gained popularity on image generation. They are also used for tabular data generation, see for example <a href="https://arxiv.org/abs/1907.00503" rel="nofollow noreferrer">TGAN</a>, or for time series generation, e.g. <a href="https://arxiv.org/abs/1907.06673" rel="nofollow noreferrer">Quant GAN</a>. You have even some application for the field of graphs and networking, e.g. <a href="https://arxiv.org/pdf/1803.00816.pdf" rel="nofollow noreferrer">NetGAN</a> and <a href="https://arxiv.org/pdf/1711.08267.pdf" rel="nofollow noreferrer">GraphGAN</a>.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-02-25T09:48:51.610Z
Answers.LastActivityDate: 2020-02-25T09:48:51.610Z
Answers.UserDisplayName: hola
Body: <p>I've noticed that in the last 2 years <a href="https://en.wikipedia.org/wiki/Generative_adversarial_network" rel="nofollow noreferrer">GANs</a> have become really popular. I know that initially they have been proposed for image classification but I was curious if any of you are aware of any papers where GANs are used to solve regression problems?</p>
  
Tags: <machine-learning><applications><research><generative-adversarial-networks><regression>
Title: Have GANs been used to solve regression problems?
UserDisplayName: razvanc92
ThreadText: # Have GANs been used to solve regression problems?
  
  (Asked by: username_0 on 2020-02-25)
  
  I've noticed that in the last 2 years [GANs](https://en.wikipedia.org/wiki/Generative_adversarial_network) have become really popular. I know that initially they have been proposed for image classification but I was curious if any of you are aware of any papers where GANs are used to solve regression problems?
  
  **Tags:** machine-learning, applications, research, generative-adversarial-networks, regression
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2020-02-25. Score: 3
  
  In reality GANs are not made for image classification, but for data generation, and they have gained popularity on image generation. They are also used for tabular data generation, see for example [TGAN](https://arxiv.org/abs/1907.00503), or for time series generation, e.g. [Quant GAN](https://arxiv.org/abs/1907.06673). You have even some application for the field of graphs and networking, e.g. [NetGAN](https://arxiv.org/pdf/1803.00816.pdf) and [GraphGAN](https://arxiv.org/pdf/1711.08267.pdf).
  
  
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