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Attribute Aware Filter-Drop for Bias-Invariant Classification
11 references·1 citing·37 second hop
Attribute Aware Filter-Drop for Bias-Invariant Classification (2020)Attribute Aware Filter-Drop for Bias-Inva…Mitigating bias in algorithmic hiring (2020)Mitigating bias in algorithmi…Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure (2019)Uncovering and Mitigating Alg…Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings (2019)Turning a Blind Eye: Explicit…Flexibly Fair Representation Learning by Disentanglement (2019)Flexibly Fair Representation …Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2019)Balanced Datasets Are Not Eno…Women Also Snowboard: Overcoming Bias in Captioning Models (2018)Women Also Snowboard: Overcom…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Learning Adversarially Fair and Transferable Representations (2018)Learning Adversarially Fair a…Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Learning Fair Representations (2013)Learning Fair RepresentationsAttention Aware Debiasing for Unbiased Model Prediction (2021)Attention Aware Debiasing for…Fairness through awareness (2012)Algorithmic Decision Making and the Cost of Fairness (2017)Counterfactual Fairness (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Equality of Opportunity in Supervised Learning (2016)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)FairGAN: Fairness-aware Generative Adversarial Networks (2018)Fairness in Recommendation Ranking through Pairwise Comparisons (2019)A snapshot of the frontiers of fairness in machine learning (2020)Discrimination in Online Ad Delivery (2013)Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Investigating Bias and Fairness in Facial Expression Recognition (2020)Fair Attribute Classification through Latent Space De-biasing (2021)Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review (2022)Semantics derived automatically from language corpora contain human-like biases (2017)Understanding and Mitigating Annotation Bias in Facial Expression Recognition (2021)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)Big Data's Disparate Impact (2014)Towards fairer datasets (2020)Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation (2020)Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings. (1963)Certifying and Removing Disparate Impact (2015)Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development (2020)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)Fairness in Machine Learning: A Survey (2023)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Demographic Bias in Biometrics: A Survey on an Emerging Challenge (2020)Fairness in Deep Learning: A Computational Perspective (2020)
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References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2013Learning Fair Representations1,126 cited
  • 2020Mitigating bias in algorithmic hiring830 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification644 cited
  • 2018Women Also Snowboard: Overcoming Bias in Captioning Models404 cited
  • 2018Learning Adversarially Fair and Transferable Representations387 cited
  • 2019Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations355 cited
  • 2019Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings225 cited
  • 2019Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure205 cited
  • 2019Flexibly Fair Representation Learning by Disentanglement186 cited

Cited by

  • 2021Attention Aware Debiasing for Unbiased Model Prediction19 cited

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