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Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face
  Recognition

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition

18 October 2022
Samuel Dooley
R. Sukthanker
John P. Dickerson
Colin White
Frank Hutter
Micah Goldblum
    CVBM
ArXivPDFHTML

Papers citing "Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition"

50 / 78 papers shown
Title
Hyperparameter Importance Analysis for Multi-Objective AutoML
Hyperparameter Importance Analysis for Multi-Objective AutoML
Daphne Theodorakopoulos
Frederic Stahl
Marius Lindauer
101
3
0
03 Jan 2025
Multi-objective Differentiable Neural Architecture Search
Multi-objective Differentiable Neural Architecture Search
R. Sukthanker
Arber Zela
B. Staffler
Samuel Dooley
Josif Grabocka
Frank Hutter
88
1
0
28 Feb 2024
Fairer and More Accurate Tabular Models Through NAS
Fairer and More Accurate Tabular Models Through NAS
Richeek Das
Samuel Dooley
44
5
0
18 Oct 2023
Neural Architecture Search: Insights from 1000 Papers
Neural Architecture Search: Insights from 1000 Papers
Colin White
Mahmoud Safari
R. Sukthanker
Binxin Ru
T. Elsken
Arber Zela
Debadeepta Dey
Frank Hutter
3DV
AI4CE
80
138
0
20 Jan 2023
Robustness Disparities in Face Detection
Robustness Disparities in Face Detection
Samuel Dooley
George Z. Wei
Tom Goldstein
John P. Dickerson
CVBM
58
9
0
29 Nov 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute
  Classification
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
Xiao-Ze Lin
Seungbae Kim
Jungseock Joo
CVBM
60
40
0
22 Jul 2022
A Deep Dive into Dataset Imbalance and Bias in Face Identification
A Deep Dive into Dataset Imbalance and Bias in Face Identification
Valeriia Cherepanova
Steven Reich
Samuel Dooley
Hossein Souri
Micah Goldblum
Tom Goldstein
15
18
0
15 Mar 2022
Two-Face: Adversarial Audit of Commercial Face Recognition Systems
Two-Face: Adversarial Audit of Commercial Face Recognition Systems
S. Jaiswal
K. Duggirala
A. Dash
Animesh Mukherjee
MLAU
AAML
63
11
0
17 Nov 2021
Comparing Human and Machine Bias in Face Recognition
Comparing Human and Machine Bias in Face Recognition
Samuel Dooley
Ryan Downing
George Z. Wei
N. Shankar
Bradon Thymes
...
Olufemi Obiwumi
Valeriia Cherepanova
Micah Goldblum
John P. Dickerson
Tom Goldstein
CVBM
142
12
0
15 Oct 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter
  Optimization
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer
Katharina Eggensperger
Matthias Feurer
André Biedenkapp
Difan Deng
C. Benjamins
Tim Ruhopf
René Sass
Frank Hutter
116
342
0
20 Sep 2021
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Kenny Peng
Arunesh Mathur
Arvind Narayanan
133
96
0
06 Aug 2021
Face.evoLVe: A High-Performance Face Recognition Library
Face.evoLVe: A High-Performance Face Recognition Library
Qingzhong Wang
Pengfei Zhang
Haoyi Xiong
Jian-jun Zhao
CVBM
49
62
0
19 Jul 2021
Multi-objective Asynchronous Successive Halving
Multi-objective Asynchronous Successive Halving
Robin Schmucker
Michele Donini
Muhammad Bilal Zafar
David Salinas
Cédric Archambeau
64
25
0
23 Jun 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin K. Wei
Huaxia Xia
Chunhua Shen
ViT
79
1,017
0
28 Apr 2021
Visformer: The Vision-friendly Transformer
Visformer: The Vision-friendly Transformer
Zhengsu Chen
Lingxi Xie
Jianwei Niu
Xuefeng Liu
Longhui Wei
Qi Tian
ViT
161
221
0
26 Apr 2021
Co-Scale Conv-Attentional Image Transformers
Co-Scale Conv-Attentional Image Transformers
Weijian Xu
Yifan Xu
Tyler A. Chang
Zhuowen Tu
ViT
52
375
0
13 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
78
93
0
06 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
434
21,392
0
25 Mar 2021
ConViT: Improving Vision Transformers with Soft Convolutional Inductive
  Biases
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane dÁscoli
Hugo Touvron
Matthew L. Leavitt
Ari S. Morcos
Giulio Biroli
Levent Sagun
ViT
110
825
0
19 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello
W. Fedus
Xianzhi Du
E. D. Cubuk
A. Srinivas
Nayeon Lee
Jonathon Shlens
Barret Zoph
79
300
0
13 Mar 2021
MagFace: A Universal Representation for Face Recognition and Quality
  Assessment
MagFace: A Universal Representation for Face Recognition and Quality Assessment
Qiang Meng
Shichao Zhao
Zhida Huang
F. Zhou
CVBM
66
490
0
11 Mar 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
380
1,561
0
27 Feb 2021
Technical Challenges for Training Fair Neural Networks
Technical Challenges for Training Fair Neural Networks
Valeriia Cherepanova
V. Nanda
Micah Goldblum
John P. Dickerson
Tom Goldstein
FaML
42
22
0
12 Feb 2021
About Face: A Survey of Facial Recognition Evaluation
About Face: A Survey of Facial Recognition Evaluation
Inioluwa Deborah Raji
G. Fried
CVBM
58
54
0
01 Feb 2021
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users
  from Facial Recognition
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition
Valeriia Cherepanova
Micah Goldblum
Harrison Foley
Shiyuan Duan
John P. Dickerson
Gavin Taylor
Tom Goldstein
AAML
PICV
62
136
0
20 Jan 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
282
494
0
31 Dec 2020
Data and its (dis)contents: A survey of dataset development and use in
  machine learning research
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada
Inioluwa Deborah Raji
Emily M. Bender
Emily L. Denton
A. Hanna
111
522
0
09 Dec 2020
Minimax Group Fairness: Algorithms and Experiments
Minimax Group Fairness: Algorithms and Experiments
Emily Diana
Wesley Gill
Michael Kearns
K. Kenthapadi
Aaron Roth
FaML
FedML
52
23
0
05 Nov 2020
Minimax Pareto Fairness: A Multi Objective Perspective
Minimax Pareto Fairness: A Multi Objective Perspective
Natalia Martínez
Martín Bertrán
Guillermo Sapiro
FaML
61
193
0
03 Nov 2020
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
601
40,961
0
22 Oct 2020
Understanding bias in facial recognition technologies
Understanding bias in facial recognition technologies
David Leslie
89
53
0
05 Oct 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
111
335
0
23 Jun 2020
On Adversarial Bias and the Robustness of Fair Machine Learning
On Adversarial Bias and the Robustness of Fair Machine Learning
Hong Chang
Ta Duy Nguyen
S. K. Murakonda
Ehsan Kazemi
Reza Shokri
FaML
OOD
FedML
62
51
0
15 Jun 2020
Intra-Processing Methods for Debiasing Neural Networks
Intra-Processing Methods for Debiasing Neural Networks
Yash Savani
Colin White
G. NaveenSundar
55
44
0
15 Jun 2020
Fair Bayesian Optimization
Fair Bayesian Optimization
Valerio Perrone
Michele Donini
Muhammad Bilal Zafar
Robin Schmucker
K. Kenthapadi
Cédric Archambeau
FaML
48
86
0
09 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
37
48
0
21 May 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
P. Drozdowski
Christian Rathgeb
A. Dantcheva
N. Damer
C. Busch
FaML
160
206
0
05 Mar 2020
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang
H. Liao
I-Hau Yeh
Yueh-hua Wu
Ping-Yang Chen
J. Hsieh
80
3,101
0
27 Nov 2019
GhostNet: More Features from Cheap Operations
GhostNet: More Features from Cheap Operations
Kai Han
Yunhe Wang
Qi Tian
Jianyuan Guo
Chunjing Xu
Chang Xu
89
2,673
0
27 Nov 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
60
362
0
26 Nov 2019
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement
  Learning
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning
Mei Wang
Weihong Deng
CVBM
90
232
0
25 Nov 2019
CenterMask : Real-Time Anchor-Free Instance Segmentation
CenterMask : Real-Time Anchor-Free Instance Segmentation
Youngwan Lee
Jongyoul Park
3DPC
ISeg
81
546
0
15 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White
Willie Neiswanger
Yash Savani
BDL
95
320
0
25 Oct 2019
Quantifying the Carbon Emissions of Machine Learning
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste
A. Luccioni
Victor Schmidt
Thomas Dandres
88
701
0
21 Oct 2019
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture Search
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Frank Hutter
OOD
AAML
126
371
0
20 Sep 2019
Once-for-All: Train One Network and Specialize it for Efficient
  Deployment
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
OOD
102
1,279
0
26 Aug 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture
  Search
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Guo-Jun Qi
Qi Tian
H. Xiong
74
608
0
12 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
133
18,106
0
28 May 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
340
6,772
0
06 May 2019
Neural Architecture Search for Deep Face Recognition
Neural Architecture Search for Deep Face Recognition
Ning Zhu
CVBM
48
9
0
21 Apr 2019
12
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