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Women Also Snowboard: Overcoming Bias in Captioning Models
5 references·16 citing·34 second hop
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References

  • 2012Fairness through awareness3,501 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited

Cited by

  • 2019Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations355 cited
  • 2020Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation285 cited
  • 2020Towards fairer datasets254 cited
  • 2019REPAIR: Removing Representation Bias by Dataset Resampling228 cited
  • 2021Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development215 cited
  • 2021Gender Bias in Machine Translation165 cited
  • 2021Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases159 cited
  • 2024Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models140 cited
  • 2020Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities131 cited
  • 2021Fair Attribute Classification through Latent Space De-biasing

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123 cited
  • 2021Understanding and Mitigating Annotation Bias in Facial Expression Recognition120 cited
  • 2022Algorithmic fairness datasets: the story so far114 cited
  • 2023Algorithmic Fairness104 cited
  • 2021Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and unfairness within data management and analytics systems97 cited
  • 2021Understanding and Evaluating Racial Biases in Image Captioning83 cited
  • 2021EnD: Entangling and Disentangling deep representations for bias correction83 cited