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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

6 September 2018
Mohsan S. Alvi
Andrew Zisserman
C. Nellåker
    FaML
ArXivPDFHTML

Papers citing "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings"

50 / 55 papers shown
Title
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Charles Jones
Fabio De Sousa Ribeiro
Mélanie Roschewitz
Daniel Coelho De Castro
Ben Glocker
FaML
OOD
CML
148
1
0
05 Oct 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias
Language-guided Detection and Mitigation of Unknown Dataset Bias
Zaiying Zhao
Soichiro Kumano
Toshihiko Yamasaki
50
2
0
05 Jun 2024
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of
  Biases-Specific Experts
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts
Jiaxuan Li
D. Vo
Hideki Nakayama
26
3
0
19 Aug 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning
  for Medical Imaging
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging
Charles Jones
Daniel Coelho De Castro
Fabio De Sousa Ribeiro
Ozan Oktay
Melissa McCradden
Ben Glocker
FaML
CML
51
9
0
31 Jul 2023
FLAC: Fairness-Aware Representation Learning by Suppressing
  Attribute-Class Associations
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations
Ioannis Sarridis
C. Koutlis
Symeon Papadopoulos
Christos Diou
42
9
0
27 Apr 2023
Gradient Attention Balance Network: Mitigating Face Recognition Racial
  Bias via Gradient Attention
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention
Linzhi Huang
Mei Wang
Jiahao Liang
Weihong Deng
Hongzhi Shi
Dongchao Wen
Yingjie Zhang
Jian Zhao
CVBM
37
7
0
05 Apr 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
BDL
38
0
0
29 Mar 2023
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias
  Alleviation in Neural Networks
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks
Mahum Naseer
B. Prabakaran
Osman Hasan
Mohamed Bennai
24
7
0
24 Feb 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
25
35
0
13 Feb 2023
Debiasing Vision-Language Models via Biased Prompts
Debiasing Vision-Language Models via Biased Prompts
Ching-Yao Chuang
Varun Jampani
Yuanzhen Li
Antonio Torralba
Stefanie Jegelka
VLM
34
97
0
31 Jan 2023
Fairly Private: Investigating The Fairness of Visual Privacy
  Preservation Algorithms
Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms
Sophie Noiret
Siddharth Ravi
M. Kampel
Francisco Flórez-Revuelta
PICV
14
1
0
12 Jan 2023
Denoising after Entropy-based Debiasing A Robust Training Method for
  Dataset Bias with Noisy Labels
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels
Sumyeong Ahn
Se-Young Yun
NoLa
33
2
0
01 Dec 2022
NashAE: Disentangling Representations through Adversarial Covariance
  Minimization
NashAE: Disentangling Representations through Adversarial Covariance Minimization
Eric C. Yeats
Frank Liu
David A. P. Womble
Hai Helen Li
CML
40
10
0
21 Sep 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute
  Classification
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
Jiazhi Li
Wael AbdAlmageed
CVBM
31
8
0
14 Sep 2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive
  Learning
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
Siyi Du
Ben Hers
Nourhan Bayasi
Ghassan Hamarneh
Rafeef Garbi
27
21
0
22 Aug 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
39
38
0
22 Jul 2022
DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment
  of CT Images
DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images
S. Langer
O. Taubmann
Felix Denzinger
Andreas Maier
Alexander Muhlberg
MedIm
11
1
0
26 May 2022
Unsupervised Learning of Unbiased Visual Representations
Unsupervised Learning of Unbiased Visual Representations
C. Barbano
Enzo Tartaglione
Marco Grangetto
SSL
CML
OOD
39
1
0
26 Apr 2022
Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for
  Sentiment Classification
Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification
Jared Mowery
SSL
33
0
0
22 Apr 2022
Machine Learning and Deep Learning -- A review for Ecologists
Machine Learning and Deep Learning -- A review for Ecologists
Maximilian Pichler
F. Hartig
47
127
0
11 Apr 2022
Quantifying Societal Bias Amplification in Image Captioning
Quantifying Societal Bias Amplification in Image Captioning
Yusuke Hirota
Yuta Nakashima
Noa Garcia
19
48
0
29 Mar 2022
Spatially Multi-conditional Image Generation
Spatially Multi-conditional Image Generation
Ritika Chakraborty
Nikola Popovic
D. Paudel
Thomas Probst
Luc Van Gool
24
1
0
25 Mar 2022
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease
  Diagnosis
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis
Yawen Wu
Dewen Zeng
Xiaowei Xu
Yiyu Shi
Jingtong Hu
MedIm
31
51
0
04 Mar 2022
Robustness and Adaptation to Hidden Factors of Variation
Robustness and Adaptation to Hidden Factors of Variation
William Paul
Philippe Burlina
29
0
0
03 Mar 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A Survey
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
42
106
0
02 Mar 2022
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin
  Lesion Classification
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification
Peter J. Bevan
Amir Atapour-Abarghouei
20
29
0
06 Feb 2022
The Box Size Confidence Bias Harms Your Object Detector
The Box Size Confidence Bias Harms Your Object Detector
Johannes Gilg
Torben Teepe
Fabian Herzog
Gerhard Rigoll
ObjD
21
4
0
03 Dec 2021
Algorithmic encoding of protected characteristics in image-based models
  for disease detection
Algorithmic encoding of protected characteristics in image-based models for disease detection
Ben Glocker
Charles Jones
Mélanie Bernhardt
S. Winzeck
31
9
0
27 Oct 2021
Perceptual Score: What Data Modalities Does Your Model Perceive?
Perceptual Score: What Data Modalities Does Your Model Perceive?
Itai Gat
Idan Schwartz
Alex Schwing
36
30
0
27 Oct 2021
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context
  of Melanoma Classification
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
P. Bevan
Amir Atapour-Abarghouei
MU
56
18
0
20 Sep 2021
IFBiD: Inference-Free Bias Detection
IFBiD: Inference-Free Bias Detection
Ignacio Serna
Daniel DeAlcala
Aythami Morales
Julian Fierrez
J. Ortega-Garcia
CVBM
39
11
0
09 Sep 2021
Understanding and Mitigating Annotation Bias in Facial Expression
  Recognition
Understanding and Mitigating Annotation Bias in Facial Expression Recognition
Yunliang Chen
Jungseock Joo
CVBM
32
80
0
19 Aug 2021
Memes in the Wild: Assessing the Generalizability of the Hateful Memes
  Challenge Dataset
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
Hannah Rose Kirk
Yennie Jun
Paulius Rauba
Gal Wachtel
Ruining Li
Xingjian Bai
Noah Broestl
Martin Doff-Sotta
Aleksandar Shtedritski
Yuki M. Asano
24
25
0
09 Jul 2021
FairCal: Fairness Calibration for Face Verification
FairCal: Fairness Calibration for Face Verification
Tiago Salvador
Stephanie Cairns
Vikram S. Voleti
Noah Marshall
Adam M. Oberman
FaML
30
19
0
07 Jun 2021
Mixing-AdaSIN: Constructing a De-biased Dataset using Adaptive
  Structural Instance Normalization and Texture Mixing
Mixing-AdaSIN: Constructing a De-biased Dataset using Adaptive Structural Instance Normalization and Texture Mixing
Myeongkyun Kang
Philip Chikontwe
Miguel Luna
Kyung Soo Hong
J. Ahn
Sang Hyun Park
MedIm
19
2
0
26 Mar 2021
EnD: Entangling and Disentangling deep representations for bias
  correction
EnD: Entangling and Disentangling deep representations for bias correction
Enzo Tartaglione
C. Barbano
Marco Grangetto
26
123
0
02 Mar 2021
A Comprehensive Study on Face Recognition Biases Beyond Demographics
A Comprehensive Study on Face Recognition Biases Beyond Demographics
Philipp Terhörst
J. Kolf
Marco Huber
Florian Kirchbuchner
Naser Damer
Aythami Morales
Julian Fierrez
Arjan Kuijper
31
115
0
02 Mar 2021
Disentanglement for audio-visual emotion recognition using multitask
  setup
Disentanglement for audio-visual emotion recognition using multitask setup
Raghuveer Peri
Srinivas Parthasarathy
Charles Bradshaw
Shiva Sundaram
31
11
0
11 Feb 2021
Investigating Bias and Fairness in Facial Expression Recognition
Investigating Bias and Fairness in Facial Expression Recognition
Tian Xu
J. White
Sinan Kalkan
Hatice Gunes
CVBM
29
158
0
20 Jul 2020
Debiasing Skin Lesion Datasets and Models? Not So Fast
Debiasing Skin Lesion Datasets and Models? Not So Fast
Alceu Bissoto
Eduardo Valle
Sandra Avila
21
54
0
23 Apr 2020
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review
Ajian Liu
Xuan Li
Jun Wan
Sergio Escalera
Hugo Jair Escalante
...
Qiaoning Yuan
Ruikun Yang
Benjia Zhou
G. Guo
Stan Z. Li
CVBM
35
76
0
23 Apr 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations
  with Discrimination-Aware Deep Learning
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
Ignacio Serna
Aythami Morales
Julian Fierrez
Manuel Cebrian
Nick Obradovich
Iyad Rahwan
FaML
CVBM
30
73
0
22 Apr 2020
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
30
56
0
15 Apr 2020
InsideBias: Measuring Bias in Deep Networks and Application to Face
  Gender Biometrics
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
Ignacio Serna
Alejandro Peña
Aythami Morales
Julian Fierrez
CVBM
22
61
0
14 Apr 2020
Face Quality Estimation and Its Correlation to Demographic and
  Non-Demographic Bias in Face Recognition
Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition
Philipp Terhörst
J. Kolf
Naser Damer
Florian Kirchbuchner
Arjan Kuijper
CML
CVBM
22
40
0
02 Apr 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
42
120
0
26 Mar 2020
Disentangled Speech Embeddings using Cross-modal Self-supervision
Disentangled Speech Embeddings using Cross-modal Self-supervision
Arsha Nagrani
Joon Son Chung
Samuel Albanie
Andrew Zisserman
SSL
21
88
0
20 Feb 2020
Post-Comparison Mitigation of Demographic Bias in Face Recognition Using
  Fair Score Normalization
Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization
Philipp Terhörst
J. Kolf
Naser Damer
Florian Kirchbuchner
Arjan Kuijper
19
56
0
10 Feb 2020
On the Robustness of Face Recognition Algorithms Against Attacks and
  Bias
On the Robustness of Face Recognition Algorithms Against Attacks and Bias
Richa Singh
Akshay Agarwal
Maneet Singh
Shruti Nagpal
Mayank Vatsa
CVBM
AAML
54
65
0
07 Feb 2020
Revealing Neural Network Bias to Non-Experts Through Interactive
  Counterfactual Examples
Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples
Chelsea M. Myers
Evan Freed
Luis Fernando Laris Pardo
Anushay Furqan
S. Risi
Jichen Zhu
CML
15
12
0
07 Jan 2020
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