SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization
16 references·1 citing·32 second hop
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization (2022)TARA: Training and Representation Alterat…Fairness in Machine Learning: A Survey (2023)Fairness in Machine Learning:…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings (2019)Turning a Blind Eye: Explicit…Discovering Fair Representations in the Data Domain (2019)Discovering Fair Representati…Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2019)Balanced Datasets Are Not Eno…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Learning Controllable Fair Representations (2018)Learning Controllable Fair Re…Learning Adversarially Fair and Transferable Representations (2018)Learning Adversarially Fair a…Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction (2018)Achieving Fairness through Ad…Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations (2017)Data Decisions and Theoretica…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Learning Fair Representations (2013)Learning Fair RepresentationsAMA manual of style: a guide for authors and editors (2007)AMA manual of style: a guide …Justice as Fairness: A Restatement (2002)Justice as Fairness: A Restat…Justice as Fairness (1958)Justice as FairnessEthical AI with Balancing Bias Mitigation and Fairness in Machine Learning Models (2024)Ethical AI with Balancing Bia…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)Big Data's Disparate Impact (2014)Certifying and Removing Disparate Impact (2015)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)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)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)CRITICAL QUESTIONS FOR BIG DATA (2012)An Overview of Artificial Intelligence Ethics (2022)Trustworthy AI: From Principles to Practices (2022)Considerations for addressing bias in artificial intelligence for health equity (2023)Doing the Right Thing: Measuring Well-Being for Public Policy (2011)On the people's terms: a republican theory and model of democracy (2013)Distributive justice and equity in transportation (2016)Equality of Opportunity (1998)Evolution of the Social Contract (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)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)Demographic Bias in Biometrics: A Survey on an Emerging Challenge (2020)Fairness in Deep Learning: A Computational Perspective (2020)Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation (2020)
this work references cited by second hop

References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 1958Justice as Fairness5,760 cited
  • 2002Justice as Fairness: A Restatement3,570 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2013Learning Fair Representations1,126 cited
  • 2023Fairness in Machine Learning: A Survey645 cited
  • 2018Learning Adversarially Fair and Transferable Representations387 cited
  • 2019Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations355 cited
  • 2007AMA manual of style: a guide for authors and editors329 cited
  • 2017Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations282 cited
  • 2019Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings225 cited
  • 2018Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction121 cited
  • 2019Discovering Fair Representations in the Data Domain108 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2018Learning Controllable Fair Representations94 cited
  • Cited by

    • 2024Ethical AI with Balancing Bias Mitigation and Fairness in Machine Learning Models15 cited