mlsanityData to 7 Oct 2026

Fairness in generative modeling

arXiv 2210.03517 ↗First posted 6 Oct 2022cs.NE cs.AI cs.LGcited by 2

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Abstract (arXiv)

We design general-purpose algorithms for addressing fairness issues and mode collapse in generative modeling. More precisely, to design fair algorithms for as many sensitive variables as possible, including variables we might not be aware of, we assume no prior knowledge of sensitive variables: our algorithms use unsupervised fairness only, meaning no information related to the sensitive variables is used for our fairness-improving methods. All images of faces (even generated ones) have been removed to mitigate legal risks.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 19 of its 32 references that are in the map. First posted on arXiv 6 Oct 2022.

Builds on

19 of 32 references.

References · 19

  1. 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,967
  2. 2017Counterfactual Fairnesscited by 802
  3. 2020PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Modelscited by 358
  4. 2019KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessmentcited by 351
  5. 2018FairGAN: Fairness-aware Generative Adversarial Networkscited by 164
  6. 2020Algorithmic Fairnesscited by 143
  7. 2019Fair Generative Modeling via Weak Supervisioncited by 114
  8. 2018On GANs and GMMscited by 62
  9. 2019Effective Aesthetics Prediction with Multi-level Spatially Pooled Featurescited by 52
  10. 2020Improving the Fairness of Deep Generative Models without Retrainingcited by 46
  11. 2018Fairness GANcited by 32
  12. 2021Fairness for Image Generation with Uncertain Sensitive Attributescited by 31
7 more
  1. 2021Measuring Fairness in Generative Modelscited by 31
  2. 2020FairFaceGAN: Fairness-aware Facial Image-to-Image Translationcited by 21
  3. 2021On the Fairness of Generative Adversarial Networks (GANs)cited by 14
  4. 2016Self-adaptation of Mutation Rates in Non-elitist Populationscited by 6
  5. 2020EvolGAN: Evolutionary Generative Adversarial Networkscited by 6
  6. 2019Inspirational Adversarial Image Generationcited by 3
  7. 2018Fairness in Online Social Network Timelines: Measurements, Models and Mechanism Designcited by 1

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Cited by year

Citing papers per year: 2024: 2.

2 papers.

  1. 2024Benchmarking the Fairness of Image Upsampling Methodscited by 3
  2. 2024Evolutionary Retrofittingcited by 2