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Increasing Fairness in Predictions Using Bias Parity Score ...
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由 B Jain 著作2021被引用 10 次 — In this work we present a novel approach to increase a Neural Network model's fairness during training. We introduce a family of fairness ...
Increasing Fairness in Predictions Using Bias Parity Score ...
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由 B Jain 著作2023被引用 10 次 — We introduce a family of fairness enhancing regularization components that we use in conjunction with the traditional binary-cross-entropy based accuracy loss.
(PDF) Increasing Fairness in Predictions Using Bias Parity ...
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We introduce a family of fairness enhancing regularization components that we use in conjunction with the traditional binary-cross-entropy based accuracy loss.
Increasing Fairness in Predictions Using Bias Parity Score ...
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2024年9月10日 — In this work we present a novel approach to increase a Neural Network model's fairness during training. We introduce a family of fairness ...
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Return to Article Details Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization Download Download PDF. Thumbnails
Fairness for Deep Learning Predictions Using Bias Parity ...
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由 B Jain 著作2024被引用 1 次 — This work proposes a novel approach to increase a Neural Network model's fairness during the training phase.
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We introduce a family of fairness enhancing regularization components that we use in conjunction with the traditional binary-cross-entropy based accuracy loss.
Increasing Fairness in Predictions Using Bias Parity Score ...
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In this work we present a novel approach to increase a NeuralNetwork model's fairness during training. We introduce a family of fairnessenhancing regularization ...
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Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization ; Jain, Bhanu (Author) ; Elmasri, Ramez 1950- (Author) ; Huber, ...
arXiv:2111.03638v1 [cs.LG] 5 Nov 2021
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由 B Jain 著作2021被引用 10 次 — In this work we proposed Bias Parity Score-based fairness metrics and an approach to translate them into correspond- ing loss functions to be ...
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