On Transferability of Bias Mitigation Effects in Language Model
Fine-Tuning

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning

24 October 2020

Francesco Barbieri

Brendan Kennedy

Aida Mostafazadeh Davani

Xiang Ren

Papers citing "On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning"

5 / 5 papers shown

Title
Bias mitigation techniques in image classification: fair machine learning in human heritage collections Dalia Ortiz Pablo Sushruth Badri Erik Norén Christoph Nötzli 30 1 0 20 Mar 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 16 7 0 18 Jan 2023
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,450 0 18 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 305 4,203 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 224 673 0 17 Feb 2018