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Feature-Wise Bias Amplification

Feature-Wise Bias Amplification

21 December 2018
Klas Leino
Emily Black
Matt Fredrikson
S. Sen
Anupam Datta
    FaML
ArXivPDFHTML

Papers citing "Feature-Wise Bias Amplification"

30 / 30 papers shown
Title
Neural Conditional Transport Maps
Neural Conditional Transport Maps
Carlos Rodriguez-Pardo
Leonardo Chiani
Emanuele Borgonovo
Massimo Tavoni
OT
32
0
0
21 May 2025
Addressing Discretization-Induced Bias in Demographic Prediction
Addressing Discretization-Induced Bias in Demographic Prediction
Evan Dong
Aaron Schein
Yixin Wang
Nikhil Garg
45
3
0
27 May 2024
Automating Data Annotation under Strategic Human Agents: Risks and
  Potential Solutions
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
Tian Xie
Xueru Zhang
40
3
0
12 May 2024
Protected group bias and stereotypes in Large Language Models
Protected group bias and stereotypes in Large Language Models
Hadas Kotek
David Q. Sun
Zidi Xiu
Margit Bowler
Christopher Klein
AILaw
ALM
33
3
0
21 Mar 2024
Harm Amplification in Text-to-Image Models
Harm Amplification in Text-to-Image Models
Susan Hao
Renee Shelby
Yuchi Liu
Hansa Srinivasan
Mukul Bhutani
Burcu Karagol Ayan
Ryan Poplin
Shivani Poddar
Sarah Laszlo
48
7
0
01 Feb 2024
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark
  for Language Model Evaluation
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
Zexue He
Yu-Xiang Wang
An Yan
Yao Liu
Eric Y. Chang
Amilcare Gentili
Julian McAuley
Chun-Nan Hsu
ELM
89
14
0
21 Oct 2023
Co$^2$PT: Mitigating Bias in Pre-trained Language Models through
  Counterfactual Contrastive Prompt Tuning
Co2^22PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning
Xiangjue Dong
Ziwei Zhu
Zhuoer Wang
Maria Teleki
James Caverlee
47
11
0
19 Oct 2023
Towards Fair and Calibrated Models
Towards Fair and Calibrated Models
Anand Brahmbhatt
Vipul Rathore
Mausam
Parag Singla
FaML
21
2
0
16 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda
  for Developing Practical Guidelines and Tools
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
37
14
0
29 Sep 2023
Gender bias and stereotypes in Large Language Models
Gender bias and stereotypes in Large Language Models
Hadas Kotek
Rikker Dockum
David Q. Sun
44
207
0
28 Aug 2023
Evaluating Biased Attitude Associations of Language Models in an
  Intersectional Context
Evaluating Biased Attitude Associations of Language Models in an Intersectional Context
Shiva Omrani Sabbaghi
Robert Wolfe
Aylin Caliskan
26
22
0
07 Jul 2023
Model-Agnostic Gender Debiased Image Captioning
Model-Agnostic Gender Debiased Image Captioning
Yusuke Hirota
Yuta Nakashima
Noa Garcia
FaML
37
18
0
07 Apr 2023
Synthetic Pre-Training Tasks for Neural Machine Translation
Synthetic Pre-Training Tasks for Neural Machine Translation
Zexue He
Graeme W. Blackwood
Yikang Shen
Julian McAuley
Rogerio Feris
29
3
0
19 Dec 2022
Simplicity Bias Leads to Amplified Performance Disparities
Simplicity Bias Leads to Amplified Performance Disparities
Samuel J. Bell
Levent Sagun
24
13
0
13 Dec 2022
Men Also Do Laundry: Multi-Attribute Bias Amplification
Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao
Jerone T. A. Andrews
Alice Xiang
FaML
50
21
0
21 Oct 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute
  Classification
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
Jiazhi Li
Wael AbdAlmageed
CVBM
34
8
0
14 Sep 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Rohan Taori
Tatsunori B. Hashimoto
80
44
0
08 Sep 2022
Causal Intervention Improves Implicit Sentiment Analysis
Causal Intervention Improves Implicit Sentiment Analysis
Siyin Wang
Jie Zhou
Changzhi Sun
Junjie Ye
Tao Gui
Qi Zhang
Xuanjing Huang
41
16
0
19 Aug 2022
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language
  Models: A Survey with Special Emphasis on Affective Bias
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias
Anoop Kadan
Manjary P.Gangan
Deepak P
L. LajishV.
AI4CE
48
10
0
21 Apr 2022
Leashing the Inner Demons: Self-Detoxification for Language Models
Leashing the Inner Demons: Self-Detoxification for Language Models
Canwen Xu
Zexue He
Zhankui He
Julian McAuley
25
26
0
06 Mar 2022
Gradient Based Activations for Accurate Bias-Free Learning
Gradient Based Activations for Accurate Bias-Free Learning
V. Kurmi
Rishabh Sharma
Yash Sharma
Vinay P. Namboodiri
FaML
29
2
0
17 Feb 2022
A Systematic Study of Bias Amplification
A Systematic Study of Bias Amplification
Melissa Hall
Laurens van der Maaten
Laura Gustafson
Maxwell Jones
Aaron B. Adcock
104
71
0
27 Jan 2022
Influence Tuning: Demoting Spurious Correlations via Instance
  Attribution and Instance-Driven Updates
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates
Xiaochuang Han
Yulia Tsvetkov
TDI
33
30
0
07 Oct 2021
A Modulation Layer to Increase Neural Network Robustness Against Data
  Quality Issues
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
M. Abdelhack
Jiaming Zhang
Sandhya Tripathi
Bradley A. Fritz
Daniel Felsky
M. Avidan
Yixin Chen
C. King
19
2
0
19 Jul 2021
Directional Bias Amplification
Directional Bias Amplification
Angelina Wang
Olga Russakovsky
22
66
0
24 Feb 2021
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
Saeid Asgari Taghanaki
Mohammad Havaei
Alex Lamb
Aditya Sanghi
Aram Danielyan
Tonya Custis
DRL
38
7
0
12 May 2020
Interpretable feature subset selection: A Shapley value based approach
Interpretable feature subset selection: A Shapley value based approach
Sandhya Tripathi
N. Hemachandra
Prashant Trivedi
TDI
FAtt
19
2
0
12 Jan 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias
  Mitigation
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Zeyu Wang
Klint Qinami
Yannis Karakozis
Kyle Genova
P. Nair
Kenji Hata
Olga Russakovsky
38
357
0
26 Nov 2019
Topics to Avoid: Demoting Latent Confounds in Text Classification
Topics to Avoid: Demoting Latent Confounds in Text Classification
Sachin Kumar
S. Wintner
Noah A. Smith
Yulia Tsvetkov
BDL
OOD
17
31
0
01 Sep 2019
Measuring Bias in Contextualized Word Representations
Measuring Bias in Contextualized Word Representations
Keita Kurita
Nidhi Vyas
Ayush Pareek
A. Black
Yulia Tsvetkov
63
444
0
18 Jun 2019
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