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FNNC: Achieving Fairness through Neural Networks

1 November 2018

Papers citing "FNNC: Achieving Fairness through Neural Networks"

22 / 22 papers shown

Title
Machine Learning Fairness for Depression Detection using EEG Data Angus Man Ho Kwok Jiaee Cheong Sinan Kalkan Hatice Gunes 106 2 0 30 Jan 2025
fairret: a Framework for Differentiable Fairness Regularization Terms Maarten Buyl Marybeth Defrance T. D. Bie FedML 71 4 0 26 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 122 14 0 08 Oct 2023
Linking convolutional kernel size to generalization bias in face analysis CNNs Hao Liang J. O. Caro Vikram Maheshri Ankit B. Patel Guha Balakrishnan CVBM CML 68 0 0 07 Feb 2023
Within-group fairness: A guidance for more sound between-group fairness Sara Kim Kyusang Yu Yongdai Kim FaML 124 1 0 20 Jan 2023
Robustness Disparities in Face Detection Samuel Dooley George Z. Wei Tom Goldstein John P. Dickerson CVBM 90 9 0 29 Nov 2022
Discrimination and Class Imbalance Aware Online Naive Bayes Maryam Badar M. Fisichella Vasileios Iosifidis Wolfgang Nejdl FaML 30 1 0 09 Nov 2022
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition Samuel Dooley R. Sukthanker John P. Dickerson Colin White Frank Hutter Micah Goldblum CVBM 132 23 0 18 Oct 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 107 177 0 14 Jul 2022
Learning to Teach Fairness-aware Deep Multi-task Learning Arjun Roy Eirini Ntoutsi 76 7 0 16 Jun 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks Michael Lohaus Matthäus Kleindessner K. Kenthapadi Francesco Locatello Chris Russell 91 12 0 09 Apr 2022
Optimal Transport of Classifiers to Fairness Maarten Buyl T. D. Bie FaML 49 11 0 08 Feb 2022
Are Commercial Face Detection Models as Biased as Academic Models? Samuel Dooley George Z. Wei Tom Goldstein John P. Dickerson CVBM 80 4 0 25 Jan 2022
Comparing Human and Machine Bias in Face Recognition Samuel Dooley Ryan Downing George Z. Wei N. Shankar Bradon Thymes ... Olufemi Obiwumi Valeriia Cherepanova Micah Goldblum John P. Dickerson Tom Goldstein CVBM 191 12 0 15 Oct 2021
Gradual (In)Compatibility of Fairness Criteria Corinna Hertweck T. Raz 79 12 0 09 Sep 2021
Federated Learning Meets Fairness and Differential Privacy P. Manisha Sankarshan Damle Sujit Gujar FedML 81 21 0 23 Aug 2021
Representative & Fair Synthetic Data P. Tiwald Alexandra Ebert Daniel Soukup 63 12 0 07 Apr 2021
Technical Challenges for Training Fair Neural Networks Valeriia Cherepanova V. Nanda Micah Goldblum John P. Dickerson Tom Goldstein FaML 71 22 0 12 Feb 2021
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms Gareth Jones James M. Hickey Pietro G. Di Stefano C. Dhanjal Laura C. Stoddart V. Vasileiou FaML 60 21 0 08 Oct 2020
Fairness by Explicability and Adversarial SHAP Learning James M. Hickey Pietro G. Di Stefano V. Vasileiou FAtt FedML 123 19 0 11 Mar 2020
Counterfactual fairness: removing direct effects through regularization Pietro G. Di Stefano James M. Hickey V. Vasileiou FaML 128 19 0 25 Feb 2020
Perfectly Parallel Fairness Certification of Neural Networks Caterina Urban M. Christakis Valentin Wüstholz Fuyuan Zhang 105 72 0 05 Dec 2019