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BiasAdv: Bias-Adversarial Augmentation for Model Debiasing
7 references·0 citing·23 second hop
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing (2023)BiasAdv: Bias-Adversarial Augmentation fo…Unsupervised Learning of Debiased Representations with Pseudo-Attributes (2022)Unsupervised Learning of Debi…Learning Fair Classifiers with Partially Annotated Group Labels (2022)Learning Fair Classifiers wit…Just Train Twice: Improving Group Robustness without Training Group Information (2021)Just Train Twice: Improving G…EnD: Entangling and Disentangling deep representations for bias correction (2021)EnD: Entangling and Disentang…Towards Accuracy-Fairness Paradox (2020)Towards Accuracy-Fairness Par…Learning from Failure: De-biasing Classifier from Biased Classifier (2020)Learning from Failure: De-bia…An Investigation of Why Overparameterization Exacerbates Spurious Correlations (2020)An Investigation of Why Overp…Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)An Investigation of Critical Issues in Bias Mitigation Techniques (2022)Overwriting Pretrained Bias with Finetuning Data (2023)Data preprocessing techniques for classification without discrimination (2011)Certifying and Removing Disparate Impact (2015)A Survey on Bias and Fairness in Machine Learning (2021)Partiality and Misconception: Investigating Cultural Representativeness in Text-to-Image Models (2024)PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases (2024)Women Also Snowboard: Overcoming Bias in Captioning Models (2018)Artificial Intelligence: American Attitudes and Trends (2019)Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2019)Bias Mimicking: A Simple Sampling Approach for Bias Mitigation (2023)FairAdaBN: Mitigating Unfairness with Adaptive Batch Normalization and Its Application to Dermatological Disease Classification (2023)Fairness in Deep Learning: A Survey on Vision and Language Research (2023)Robust Solutions of Optimization Problems Affected by Uncertain Probabilities (2012)Learning Fair Representations (2013)Improving fairness generalization through a sample-robust optimization method (2022)Fairness Without Demographic Data: A Survey of Approaches (2023)OpenBias: Open-Set Bias Detection in Text-to-Image Generative Models (2024)Detecting shortcut learning for fair medical AI using shortcut testing (2023)Human visual explanations mitigate bias in AI-based assessment of surgeon skills (2023)
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References

  • 2021Just Train Twice: Improving Group Robustness without Training Group Information138 cited
  • 2020An Investigation of Why Overparameterization Exacerbates Spurious Correlations122 cited
  • 2020Learning from Failure: De-biasing Classifier from Biased Classifier120 cited
  • 2021EnD: Entangling and Disentangling deep representations for bias correction83 cited
  • 2020Towards Accuracy-Fairness Paradox32 cited
  • 2022Unsupervised Learning of Debiased Representations with Pseudo-Attributes28 cited
  • 2022Learning Fair Classifiers with Partially Annotated Group Labels26 cited

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