Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
Saloni Dash, Vineeth Balasubramanian, Amit Sharma
Winter Conference on Applications of Computer Vision (WACV) | January 2022
出版物
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Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
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The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
Naman Goel, Alfonso Amayeulas, Amit Deshpande, Amit Sharma
AAAI Conference on Artificial Intelligence (AAAI) | February 2021
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Inframarginality Audit of Group-Fairness
Amit Sharma, Arpita Biswas, Siddharth Barman
June 2020
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Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
ACM Conference on Fairness, Accountability, and Transparency | January 2020
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Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
Saloni Dash, Vineeth Balasubramanian, Amit Sharma
Winter Conference on Applications of Computer Vision (WACV) | January 2022
-
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
-
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
Naman Goel, Alfonso Amayeulas, Amit Deshpande, Amit Sharma
AAAI Conference on Artificial Intelligence (AAAI) | February 2021
-
Inframarginality Audit of Group-Fairness
Amit Sharma, Arpita Biswas, Siddharth Barman
June 2020
-
Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
ACM Conference on Fairness, Accountability, and Transparency | January 2020
-
-
-
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
Saloni Dash, Vineeth Balasubramanian, Amit Sharma
Winter Conference on Applications of Computer Vision (WACV) | January 2022
-
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
-
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
Naman Goel, Alfonso Amayeulas, Amit Deshpande, Amit Sharma
AAAI Conference on Artificial Intelligence (AAAI) | February 2021
-
Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
ACM Conference on Fairness, Accountability, and Transparency | January 2020
-
-
-
Inframarginality Audit of Group-Fairness
Amit Sharma, Arpita Biswas, Siddharth Barman
June 2020
-