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Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
v1v2 (latest)

Discover and Mitigate Unknown Biases with Debiasing Alternate Networks

20 July 2022
Zhiheng Li
A. Hoogs
Chenliang Xu
ArXiv (abs)PDFHTML

Papers citing "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks"

50 / 62 papers shown
Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification
Miaoyun Zhao
Qiang Zhang
C. Li
89
0
0
11 May 2025
Sebra: Debiasing Through Self-Guided Bias Ranking
Sebra: Debiasing Through Self-Guided Bias Ranking
Adarsh Kappiyath
Abhra Chaudhuri
Ajay Jaiswal
Ziquan Liu
Yunpeng Li
Xiatian Zhu
L. Yin
CML
405
1
1
30 Jan 2025
Learning to Split for Automatic Bias Detection
Learning to Split for Automatic Bias Detection
Yujia Bao
Regina Barzilay
58
21
0
28 Apr 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
298
30,149
0
01 Mar 2022
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models
Arvindkumar Krishnakumar
Tong He
Shengji Tang
Judy Hoffman
59
31
0
29 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
86
69
0
28 Oct 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias
  in Image Search
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
Jialu Wang
Yang Liu
Xinze Wang
FaML
195
95
0
12 Sep 2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
Eungyeup Kim
Jihyeon Janel Lee
Jaegul Choo
69
88
0
23 Aug 2021
PASS: Protected Attribute Suppression System for Mitigating Bias in Face
  Recognition
PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition
Prithviraj Dhar
Joshua Gleason
A. Roy
Carlos D. Castillo
Rama Chellappa
CVBM
69
44
0
09 Aug 2021
Learning Debiased Representation via Disentangled Feature Augmentation
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee
Eungyeup Kim
Juyoung Lee
Jihyeon Janel Lee
Jaegul Choo
CML
66
156
0
03 Jul 2021
Learning Stable Classifiers by Transferring Unstable Features
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao
Shiyu Chang
Regina Barzilay
OOD
60
8
0
15 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Yujia Bao
Shiyu Chang
Regina Barzilay
74
21
0
26 May 2021
Discover the Unknown Biased Attribute of an Image Classifier
Discover the Unknown Biased Attribute of an Image Classifier
Zhiheng Li
Chenliang Xu
71
50
0
29 Apr 2021
Explaining in Style: Training a GAN to explain a classifier in
  StyleSpace
Explaining in Style: Training a GAN to explain a classifier in StyleSpace
Oran Lang
Yossi Gandelsman
Michal Yarom
Yoav Wald
G. Elidan
...
William T. Freeman
Phillip Isola
Amir Globerson
Michal Irani
Inbar Mosseri
GAN
112
154
0
27 Apr 2021
Towards Measuring Fairness in AI: the Casual Conversations Dataset
Towards Measuring Fairness in AI: the Casual Conversations Dataset
C. Hazirbas
Joanna Bitton
Brian Dolhansky
Jacqueline Pan
Albert Gordo
Cristian Canton Ferrer
EGVM
81
93
0
06 Apr 2021
Improved and efficient inter-vehicle distance estimation using road
  gradients of both ego and target vehicles
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles
Robik Shrestha
Jinkyu Lee
Kushal Kafle
S. Hwang
Il Yong Chun
54
1
0
01 Apr 2021
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained
  Classification Problems
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
N. Sohoni
Jared A. Dunnmon
Geoffrey Angus
Albert Gu
Christopher Ré
80
252
0
25 Nov 2020
Environment Inference for Invariant Learning
Environment Inference for Invariant Learning
Elliot Creager
J. Jacobsen
R. Zemel
OOD
61
384
0
14 Oct 2020
Towards causal benchmarking of bias in face analysis algorithms
Towards causal benchmarking of bias in face analysis algorithms
Guha Balakrishnan
Yuanjun Xiong
Wei Xia
Pietro Perona
CVBM
67
90
0
13 Jul 2020
Learning from Failure: Training Debiased Classifier from Biased
  Classifier
Learning from Failure: Training Debiased Classifier from Biased Classifier
J. Nam
Hyuntak Cha
SungSoo Ahn
Jaeho Lee
Jinwoo Shin
67
149
0
06 Jul 2020
Fairness without Demographics through Adversarially Reweighted Learning
Fairness without Demographics through Adversarially Reweighted Learning
Preethi Lahoti
Alex Beutel
Jilin Chen
Kang Lee
Flavien Prost
Nithum Thain
Xuezhi Wang
Ed H. Chi
FaML
121
338
0
23 Jun 2020
Gender Slopes: Counterfactual Fairness for Computer Vision Models by
  Attribute Manipulation
Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation
Jungseock Joo
Kimmo Karkkainen
57
48
0
21 May 2020
Mitigating Gender Bias Amplification in Distribution by Posterior
  Regularization
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization
Shengyu Jia
Tao Meng
Jieyu Zhao
Kai-Wei Chang
FaML
58
42
0
13 May 2020
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
214
2,059
0
16 Apr 2020
Fairness by Learning Orthogonal Disentangled Representations
Fairness by Learning Orthogonal Disentangled Representations
Mhd Hasan Sarhan
Nassir Navab
Abouzar Eslami
Shadi Albarqouni
FaMLOODCML
89
97
0
12 Mar 2020
Analysis of Gender Inequality In Face Recognition Accuracy
Analysis of Gender Inequality In Face Recognition Accuracy
Vítor Albiero
S. KrishnapriyaK.
Kushal Vangara
Kai Zhang
Michael C. King
Kevin W. Bowyer
CVBM
49
94
0
31 Jan 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
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action
  Recognition
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Jinwoo Choi
Chen Gao
Joseph C.E. Messou
Jia-Bin Huang
135
182
0
11 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
541
42,591
0
03 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
314
5,828
0
03 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
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
108
1,248
0
20 Nov 2019
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
399
281
0
07 Oct 2019
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
Zihao Wang
Xihui Liu
Hongsheng Li
Lu Sheng
Junjie Yan
Xiaogang Wang
Jing Shao
VLM
73
306
0
12 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
OOD
88
466
0
09 Sep 2019
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
195
2,242
0
05 Jul 2019
RUBi: Reducing Unimodal Biases in Visual Question Answering
RUBi: Reducing Unimodal Biases in Visual Question Answering
Rémi Cadène
Corentin Dancette
H. Ben-younes
Matthieu Cord
Devi Parikh
CML
99
373
0
24 Jun 2019
Flexibly Fair Representation Learning by Disentanglement
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager
David Madras
J. Jacobsen
Marissa A. Weis
Kevin Swersky
T. Pitassi
R. Zemel
FaMLOOD
190
334
0
06 Jun 2019
REPAIR: Removing Representation Bias by Dataset Resampling
REPAIR: Removing Representation Bias by Dataset Resampling
Yi Li
Nuno Vasconcelos
FaML
79
287
0
16 Apr 2019
Learning Robust Representations by Projecting Superficial Statistics Out
Learning Robust Representations by Projecting Superficial Statistics Out
Haohan Wang
Zexue He
Zachary Chase Lipton
Eric Xing
OOD
73
235
0
02 Mar 2019
Object-driven Text-to-Image Synthesis via Adversarial Training
Object-driven Text-to-Image Synthesis via Adversarial Training
Wenbo Li
Pengchuan Zhang
Lei Zhang
Qiuyuan Huang
Xiaodong He
Siwei Lyu
Jianfeng Gao
GAN
71
302
0
27 Feb 2019
Learning Not to Learn: Training Deep Neural Networks with Biased Data
Learning Not to Learn: Training Deep Neural Networks with Biased Data
Byungju Kim
Hyunwoo Kim
Kyungsu Kim
Sungjin Kim
Junmo Kim
OOD
62
410
0
26 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
606
10,590
0
12 Dec 2018
Explicit Bias Discovery in Visual Question Answering Models
Explicit Bias Discovery in Visual Question Answering Models
Varun Manjunatha
Nirat Saini
L. Davis
CMLFAtt
53
93
0
19 Nov 2018
Model Cards for Model Reporting
Model Cards for Model Reporting
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
134
1,903
0
05 Oct 2018
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep
  Neural Network Embeddings
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
Mohsan S. Alvi
Andrew Zisserman
C. Nellåker
FaML
123
248
0
06 Sep 2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended
  Abstract)
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)
Lisa Anne Hendricks
Kaylee Burns
Kate Saenko
Trevor Darrell
Anna Rohrbach
121
480
0
02 Jul 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with
  Noisy Labels
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang
M. Sabuncu
NoLa
85
2,610
0
20 May 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
On Fairness and Calibration
On Fairness and Calibration
Geoff Pleiss
Manish Raghavan
Felix Wu
Jon M. Kleinberg
Kilian Q. Weinberger
FaML
203
880
0
06 Sep 2017
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