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Mitigating Bias in Visual Transformers via Targeted Alignment

Mitigating Bias in Visual Transformers via Targeted Alignment

8 February 2023
Sruthi Sudhakar
Viraj Prabhu
Arvindkumar Krishnakumar
Judy Hoffman
ArXiv (abs)PDFHTML

Papers citing "Mitigating Bias in Visual Transformers via Targeted Alignment"

20 / 20 papers shown
Title
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
670
41,430
0
22 Oct 2020
README: REpresentation learning by fairness-Aware Disentangling MEthod
README: REpresentation learning by fairness-Aware Disentangling MEthod
Sungho Park
D. Kim
Sunhee Hwang
H. Byun
DRLCML
54
18
0
07 Jul 2020
Linformer: Self-Attention with Linear Complexity
Linformer: Self-Attention with Linear Complexity
Sinong Wang
Belinda Z. Li
Madian Khabsa
Han Fang
Hao Ma
216
1,713
0
08 Jun 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual
  Bias
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Krishna Kumar Singh
D. Mahajan
Kristen Grauman
Yong Jae Lee
Matt Feiszli
Deepti Ghadiyaram
63
109
0
09 Jan 2020
Exposing and Correcting the Gender Bias in Image Captioning Datasets and
  Models
Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models
Shruti Bhargava
David A. Forsyth
FaML
60
50
0
02 Dec 2019
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
77
364
0
26 Nov 2019
Fairness in Deep Learning: A Computational Perspective
Fairness in Deep Learning: A Computational Perspective
Mengnan Du
Fan Yang
Na Zou
Xia Hu
FaMLFedML
51
233
0
23 Aug 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
Emily L. Denton
B. Hutchinson
Margaret Mitchell
Timnit Gebru
Andrew Zaldivar
CVBM
61
129
0
14 Jun 2019
Predictive Inequity in Object Detection
Predictive Inequity in Object Detection
Benjamin Wilson
Judy Hoffman
Jamie Morgenstern
76
219
0
21 Feb 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
382
684
0
17 Feb 2018
Mitigating Unwanted Biases with Adversarial Learning
Mitigating Unwanted Biases with Adversarial Learning
B. Zhang
Blake Lemoine
Margaret Mitchell
FaML
199
1,390
0
22 Jan 2018
Men Also Like Shopping: Reducing Gender Bias Amplification using
  Corpus-level Constraints
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordonez
Kai-Wei Chang
FaML
100
973
0
29 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
758
132,363
0
12 Jun 2017
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
233
4,330
0
07 Oct 2016
A Deeper Look at Dataset Bias
A Deeper Look at Dataset Bias
Tatiana Tommasi
Novi Patricia
Barbara Caputo
Tinne Tuytelaars
99
328
0
06 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
223
5,211
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
247
8,426
0
28 Nov 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
235
6,041
0
26 Sep 2014
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
233
2,365
0
15 May 2008
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