Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation

20 August 2024

Papers citing "Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation"

9 / 9 papers shown

Title
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation Yuchang Zhu Jintang Li Liang Chen Zibin Zheng 86 11 0 29 Nov 2023
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons Xuanqi Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Qianqian Wang 59 38 0 06 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
Learning Debiased Representation via Disentangled Feature Augmentation Jungsoo Lee Eungyeup Kim Juyoung Lee Jihyeon Janel Lee Jaegul Choo CML 60 155 0 03 Jul 2021
Fair Feature Distillation for Visual Recognition S. Jung Donggyu Lee Taeeon Park Taesup Moon 57 76 0 27 May 2021
To be Robust or to be Fair: Towards Fairness in Adversarial Training Han Xu Xiaorui Liu Yaxin Li Anil K. Jain Jiliang Tang 49 180 0 13 Oct 2020
Invariant Representations without Adversarial Training Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan OOD 64 210 0 24 May 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 379 684 0 17 Feb 2018
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 244 8,408 0 28 Nov 2014