Estimating and Improving Fairness with Adversarial Learning

Estimating and Improving Fairness with Adversarial Learning

7 March 2021

Ziteng Cui

Papers citing "Estimating and Improving Fairness with Adversarial Learning"

5 / 5 papers shown

Title
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 37 1 0 10 Nov 2023
Towards unraveling calibration biases in medical image analysis María Agustina Ricci Lara Candelaria Mosquera Enzo Ferrante Rodrigo Echeveste 33 9 0 09 May 2023
An investigation of licensing of datasets for machine learning based on the GQM model Junyu Chen Norihiro Yoshida Hiroaki Takada 33 2 0 24 Mar 2023
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning Siyi Du Ben Hers Nourhan Bayasi Ghassan Hamarneh Rafeef Garbi 27 22 0 22 Aug 2022
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR Yuyin Zhou Shih-Cheng Huang Jason Alan Fries Alaa Youssef T. Amrhein ... Imon Banerjee D. Rubin Lei Xing N. Shah M. Lungren 32 43 0 23 Nov 2021