Fair Classification with Group-Dependent Label Noise

Fair Classification with Group-Dependent Label Noise

31 October 2020

Yang Liu

Papers citing "Fair Classification with Group-Dependent Label Noise"

9 / 9 papers shown

Title
Fairness Improves Learning from Noisily Labeled Long-Tailed Data Jiaheng Wei Zhaowei Zhu Gang Niu Tongliang Liu Sijia Liu Masashi Sugiyama Yang Liu 26 6 0 22 Mar 2023
Fair Ranking with Noisy Protected Attributes Anay Mehrotra Nisheeth K. Vishnoi 23 16 0 30 Nov 2022
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning Trenton Chang Michael Sjoding Jenna Wiens 22 11 0 01 Aug 2022
Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction José P. Pombal Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 16 4 0 27 Jun 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria Yiqiao Liao Parinaz Naghizadeh Ardabili 6 8 0 31 May 2022
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Zhaowei Zhu Jialu Wang Yang Liu NoLa 24 37 0 02 Feb 2022
Fairness for Image Generation with Uncertain Sensitive Attributes A. Jalal Sushrut Karmalkar Jessica Hoffmann A. Dimakis Eric Price DiffM 27 39 0 23 Jun 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 32 69 0 08 Jun 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016