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2102.12594
Cited By
Directional Bias Amplification
24 February 2021
Angelina Wang
Olga Russakovsky
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Papers citing
"Directional Bias Amplification"
18 / 18 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
On the Societal Impact of Open Foundation Models
Sayash Kapoor
Rishi Bommasani
Kevin Klyman
Shayne Longpre
Ashwin Ramaswami
...
Victor Storchan
Daniel Zhang
Daniel E. Ho
Percy Liang
Arvind Narayanan
26
54
0
27 Feb 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
43
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
43
21
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
30
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
326
4,223
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,090
0
24 Oct 2016
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