Directional Bias Amplification

24 February 2021

Papers citing "Directional Bias Amplification"

17 / 17 papers shown

Title
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs Angelina Wang Michelle Phan Daniel E. Ho Sanmi Koyejo 54 2 0 04 Feb 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 59 2 0 28 Jan 2025
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective Zhaotian Weng Zijun Gao Jerone Andrews Jieyu Zhao 33 0 0 03 Jul 2024
Addressing Discretization-Induced Bias in Demographic Prediction Evan Dong Aaron Schein Yixin Wang Nikhil Garg 40 3 0 27 May 2024
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models Laura Cabello Emanuele Bugliarello Stephanie Brandl Desmond Elliott 23 7 0 26 Oct 2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias Noa Garcia Yusuke Hirota Yankun Wu Yuta Nakashima EGVM 38 51 0 06 Apr 2023
Overwriting Pretrained Bias with Finetuning Data Angelina Wang Olga Russakovsky 26 29 0 10 Mar 2023
Travel Demand Forecasting: A Fair AI Approach Xiaojian Zhang Qian Ke Xilei Zhao AI4TS 35 3 0 03 Mar 2023
Men Also Do Laundry: Multi-Attribute Bias Amplification Dora Zhao Jerone T. A. Andrews Alice Xiang FaML 41 20 0 21 Oct 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification Jiazhi Li Wael AbdAlmageed CVBM 24 8 0 14 Sep 2022
Quantifying Societal Bias Amplification in Image Captioning Yusuke Hirota Yuta Nakashima Noa Garcia 19 49 0 29 Mar 2022
A Systematic Study of Bias Amplification Melissa Hall L. V. D. van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 102 70 0 27 Jan 2022
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 30 36 0 04 Nov 2021
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 21 134 0 16 Jun 2021
Correcting Exposure Bias for Link Recommendation Shantanu Gupta Hao Wang Zachary Chase Lipton Bernie Wang CML 34 34 0 13 Jun 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,087 0 24 Oct 2016