Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models

26 August 2023

Papers citing "Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models"

6 / 6 papers shown

Title
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators Zheyu Yan X. Hu Yiyu Shi 13 1 0 11 Dec 2023
Towards Sparsification of Graph Neural Networks Hongwu Peng Deniz Gurevin Shaoyi Huang Tong Geng Weiwen Jiang O. Khan Caiwen Ding GNN 30 24 0 11 Sep 2022
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices Yi Sheng Junhuan Yang Yawen Wu Kevin Mao Yiyu Shi Jingtong Hu Weiwen Jiang Lei Yang 56 28 0 23 Feb 2022
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset Matthew Groh Caleb Harris L. Soenksen Felix Lau Rachel Han Aerin Kim A. Koochek Omar Badri 94 178 0 20 Apr 2021
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 189 730 0 13 Dec 2018
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016