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Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
11 references·1 citing·35 second hop
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2020Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation285 cited
  • 2019REPAIR: Removing Representation Bias by Dataset Resampling228 cited
  • 2019A Framework for Understanding Unintended Consequences of Machine Learning226 cited
  • 2021Fair Attribute Classification through Latent Space De-biasing123 cited
  • 2020An Investigation of Why Overparameterization Exacerbates Spurious Correlations122 cited
  • 2021Understanding and Evaluating Racial Biases in Image Captioning83 cited
  • 2021EnD: Entangling and Disentangling deep representations for bias correction83 cited
  • 2021Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning36 cited
  • 2023Gender Artifacts in Visual Datasets24 cited

Cited by

  • 2024Rethinking Fair Graph Neural Networks from Re-balancing17 cited

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