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Improving Fairness using Vision-Language Driven Image Augmentation
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Improving Fairness using Vision-Language Driven Image Augmentation (2024)Improving Fairness using Vision-Language …Learning Fair Classifiers with Partially Annotated Group Labels (2022)Learning Fair Classifiers wit…Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation (2020)Towards Fairness in Visual Re…Learning from Failure: Training Debiased Classifier from Biased Classifier (2020)Learning from Failure: Traini…Intra-Processing Methods for Debiasing Neural Networks (2020)Intra-Processing Methods for …Discovering Fair Representations in the Data Domain (2019)Discovering Fair Representati…Women Also Snowboard: Overcoming Bias in Captioning Models (2018)Women Also Snowboard: Overcom…Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…FairGAN: Fairness-aware Generative Adversarial Networks (2018)FairGAN: Fairness-aware Gener…Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Men Also Like Shopping: Reduc…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Measuring individual differences in implicit cognition: The implicit association test. (1998)Fairness through awareness (2012)Big Data's Disparate Impact (2014)The global landscape of AI ethics guidelines (2019)On the Opportunities and Risks of Foundation Models (2021)Equality of Opportunity in Supervised Learning (2016)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)A Review on Fairness in Machine Learning (2022)Algorithmic Fairness (2023)Bias in Machine Learning: A Literature Review (2024)Semantics derived automatically from language corpora contain human-like biases (2017)Certifying and Removing Disparate Impact (2015)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)The Filter Bubble: What the Internet Is Hiding from You (2011)REPAIR: Removing Representation Bias by Dataset Resampling (2019)A Survey on Bias and Fairness in Machine Learning (2021)Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization (2021)Unsupervised Learning of Debiased Representations with Pseudo-Attributes (2022)Overwriting Pretrained Bias with Finetuning Data (2023)Model Cards for Model Reporting (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Data and its (dis)contents: A survey of dataset development and use in machine learning research (2021)Investigating Bias and Fairness in Facial Expression Recognition (2020)Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases (2021)Trustworthy AI: A Computational Perspective (2022)Estimating and Improving Fairness with Adversarial Learning (2021)Bias and Fairness in Large Language Models: A Survey (2024)Gender Bias in Natural Language Processing and Computer Vision: A Comparative Survey (2024)BiasAdv: Bias-Adversarial Augmentation for Model Debiasing (2023)FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations (2024)
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References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,544 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,853 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints878 cited
  • 2018Women Also Snowboard: Overcoming Bias in Captioning Models404 cited
  • 2018FairGAN: Fairness-aware Generative Adversarial Networks381 cited
  • 2020Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation285 cited
  • 2019Discovering Fair Representations in the Data Domain108 cited
  • 2020Learning from Failure: Training Debiased Classifier from Biased Classifier58 cited
  • 2022Learning Fair Classifiers with Partially Annotated Group Labels26 cited
  • 2020Intra-Processing Methods for Debiasing Neural Networks22 cited

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