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EnD: Entangling and Disentangling deep representations for bias
  correction

EnD: Entangling and Disentangling deep representations for bias correction

2 March 2021
Enzo Tartaglione
C. Barbano
Marco Grangetto
ArXivPDFHTML

Papers citing "EnD: Entangling and Disentangling deep representations for bias correction"

27 / 27 papers shown
Title
Attention IoU: Examining Biases in CelebA using Attention Maps
Attention IoU: Examining Biases in CelebA using Attention Maps
Aaron Serianni
Tyler Zhu
Olga Russakovsky
V. V. Ramaswamy
39
0
0
25 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
B. Zhu
Jiequan Cui
H. Zhang
Chi Zhang
85
0
0
12 Mar 2025
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
141
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
36
2
0
05 Jun 2024
Enhancing Intrinsic Features for Debiasing via Investigating
  Class-Discerning Common Attributes in Bias-Contrastive Pair
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
Jeonghoon Park
Chaeyeon Chung
Juyoung Lee
Jaegul Choo
34
2
0
30 Apr 2024
FaceXFormer: A Unified Transformer for Facial Analysis
FaceXFormer: A Unified Transformer for Facial Analysis
Kartik Narayan
VS Vibashan
Rama Chellappa
Vishal M. Patel
ViT
59
12
0
19 Mar 2024
Concept Distillation: Leveraging Human-Centered Explanations for Model
  Improvement
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
Avani Gupta
Saurabh Saini
P. J. Narayanan
25
6
0
26 Nov 2023
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
Elucidate Gender Fairness in Singing Voice Transcription
Elucidate Gender Fairness in Singing Voice Transcription
Xiangming Gu
Weizhen Zeng
Ye Wang
17
3
0
05 Aug 2023
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo
  Chamber
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber
Rui Hu
Yahan Tu
Jitao Sang
27
2
0
06 May 2023
Racial Bias within Face Recognition: A Survey
Racial Bias within Face Recognition: A Survey
Seyma Yucer
Furkan Tektas
Noura Al Moubayed
T. Breckon
FaML
38
10
0
01 May 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
36
0
0
29 Mar 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
29
1
0
22 Feb 2023
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
Raghav Mehta
Vítor Albiero
Li Chen
Ivan Evtimov
Tamar Glaser
Zhiheng Li
Tal Hassner
26
17
0
12 Dec 2022
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
26
2
0
01 Dec 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
SelecMix: Debiased Learning by Contradicting-pair Sampling
Inwoo Hwang
Sangjun Lee
Yunhyeok Kwak
Seong Joon Oh
Damien Teney
Jin-Hwa Kim
Byoung-Tak Zhang
OOD
326
28
0
04 Nov 2022
Fair Visual Recognition via Intervention with Proxy Features
Fair Visual Recognition via Intervention with Proxy Features
Yi Zhang
Jitao Sang
Junyan Wang
23
1
0
02 Nov 2022
Information Removal at the bottleneck in Deep Neural Networks
Information Removal at the bottleneck in Deep Neural Networks
Enzo Tartaglione
46
2
0
30 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
24
8
0
14 Sep 2022
Does lossy image compression affect racial bias within face recognition?
Does lossy image compression affect racial bias within face recognition?
Seyma Yucer
Matt Poyser
Noura Al Moubayed
T. Breckon
CVBM
34
4
0
16 Aug 2022
Revisiting the Importance of Amplifying Bias for Debiasing
Revisiting the Importance of Amplifying Bias for Debiasing
Jungsoo Lee
Jeonghoon Park
Daeyoung Kim
Juyoung Lee
E. Choi
Jaegul Choo
37
21
0
29 May 2022
Unsupervised Learning of Unbiased Visual Representations
Unsupervised Learning of Unbiased Visual Representations
C. Barbano
Enzo Tartaglione
Marco Grangetto
SSL
CML
OOD
21
1
0
26 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
34
316
0
06 Apr 2022
Anatomizing Bias in Facial Analysis
Anatomizing Bias in Facial Analysis
Richa Singh
P. Majumdar
S. Mittal
Mayank Vatsa
CVBM
33
23
0
13 Dec 2021
Conditional Alignment and Uniformity for Contrastive Learning with
  Continuous Proxy Labels
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Benoit Dufumier
Pietro Gori
J. Victor
Antoine Grigis
Edouard Duchesnay
MedIm
16
6
0
10 Nov 2021
Interpreting Face Inference Models using Hierarchical Network Dissection
Interpreting Face Inference Models using Hierarchical Network Dissection
Divyang Teotia
Àgata Lapedriza
Sarah Ostadabbas
CVBM
27
3
0
23 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
15
148
0
03 Jul 2021
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