Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods | Paper Citation Record

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Definition of STAKEHOLDERS

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods On the Robustness of Interpretability Methods

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Unresolved cited work

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Unresolved cited work

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Unresolved cited work

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Unresolved cited work

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Bach, and Himabindu Lakkaraju

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Unresolved cited work

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Unresolved cited work

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Unresolved cited work

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Unresolved cited work

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Trends in Explainable AI (XAI) Literature

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods How do I fool you?

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Decoupled Weight Decay Regularization

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Towards Deep Learning Models Resistant to Adversarial Attacks

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Why should i trust you?

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods On the Legal Compatibility of Fairness Definitions

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Gandomi, Fang Chen, and Andreas Holzinger

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods I was surprised to see a woman doctor articulate herself so well

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Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Computational Linguistics (2024), 1–79

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Outbound references

Pith citing papers