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Fair Attribute Classification through Latent Space De-biasing

Fair Attribute Classification through Latent Space De-biasing

2 December 2020
V. V. Ramaswamy
Sunnie S. Y. Kim
Olga Russakovsky
ArXivPDFHTML

Papers citing "Fair Attribute Classification through Latent Space De-biasing"

40 / 40 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
45
0
0
25 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
53
0
0
08 Mar 2025
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Hyungjun Joo
Hyeonggeun Han
Sehwan Kim
Sangwoo Hong
Jungwoo Lee
40
0
0
23 Dec 2024
Multi-Output Distributional Fairness via Post-Processing
Multi-Output Distributional Fairness via Post-Processing
Gang Li
Qihang Lin
Ayush Ghosh
Tianbao Yang
53
0
0
31 Aug 2024
Contrastive Learning from Synthetic Audio Doppelgängers
Contrastive Learning from Synthetic Audio Doppelgängers
Manuel Cherep
Nikhil Singh
40
1
0
09 Jun 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
48
2
0
05 Jun 2024
Mitigating Bias Using Model-Agnostic Data Attribution
Mitigating Bias Using Model-Agnostic Data Attribution
Sander De Coninck
Wei-Cheng Wang
Sam Leroux
Pieter Simoens
34
1
0
08 May 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Rishubh Parihar
Abhijnya Bhat
Abhipsa Basu
Saswat Mallick
Jogendra Nath Kundu
R. V. Babu
53
19
0
28 Feb 2024
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair
  Identity Scaling
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling
Yan Luo
Muhammad Osama Khan
Yu Tian
Minfei Shi
Zehao Dou
T. Elze
Yi Fang
Mengyu Wang
12
7
0
03 Oct 2023
ITI-GEN: Inclusive Text-to-Image Generation
ITI-GEN: Inclusive Text-to-Image Generation
Cheng Zhang
Xuanbai Chen
Siqi Chai
Chen Henry Wu
Dmitry Lagun
Thabo Beeler
Fernando de la Torre
VLM
38
52
0
11 Sep 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
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
49
9
0
31 Jul 2023
Zero-shot racially balanced dataset generation using an existing biased
  StyleGAN2
Zero-shot racially balanced dataset generation using an existing biased StyleGAN2
Anubhav Jain
Nasir D. Memon
Julian Togelius
25
8
0
12 May 2023
LLM2Loss: Leveraging Language Models for Explainable Model Diagnostics
LLM2Loss: Leveraging Language Models for Explainable Model Diagnostics
Shervin Ardeshir
33
0
0
04 May 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and
  Metrics
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
Leonardo Iurada
S. Bucci
Timothy M. Hospedales
Tatiana Tommasi
27
0
0
25 Mar 2023
Overwriting Pretrained Bias with Finetuning Data
Overwriting Pretrained Bias with Finetuning Data
Angelina Wang
Olga Russakovsky
26
29
0
10 Mar 2023
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based
  Artificial Bias
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
Shangxi Wu
Qiuyang He
Jitao Sang
Jitao Sang
28
1
0
01 Mar 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
34
0
13 Feb 2023
Linking convolutional kernel size to generalization bias in face
  analysis CNNs
Linking convolutional kernel size to generalization bias in face analysis CNNs
Hao Liang
J. O. Caro
Vikram Maheshri
Ankit B. Patel
Guha Balakrishnan
CVBM
CML
17
0
0
07 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
30
97
0
31 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
31
2
0
01 Dec 2022
Improving Fairness in Image Classification via Sketching
Improving Fairness in Image Classification via Sketching
Ruichen Yao
Ziteng Cui
Xiaoxiao Li
Lin Gu
33
15
0
31 Oct 2022
On-Demand Sampling: Learning Optimally from Multiple Distributions
On-Demand Sampling: Learning Optimally from Multiple Distributions
Nika Haghtalab
Michael I. Jordan
Eric Zhao
FedML
50
34
0
22 Oct 2022
Men Also Do Laundry: Multi-Attribute Bias Amplification
Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao
Jerone T. A. Andrews
Alice Xiang
FaML
43
21
0
21 Oct 2022
A Differentiable Distance Approximation for Fairer Image Classification
A Differentiable Distance Approximation for Fairer Image Classification
Nicholas Rosa
Tom Drummond
Mehrtash Harandi
21
0
0
09 Oct 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained
  Generative Models
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Chen Henry Wu
Saman Motamed
Shaunak Srivastava
Fernando de la Torre
VLM
DiffM
21
34
0
14 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
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
43
18
0
17 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
37
38
0
22 Jul 2022
Towards Intersectionality in Machine Learning: Including More
  Identities, Handling Underrepresentation, and Performing Evaluation
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation
Angelina Wang
V. V. Ramaswamy
Olga Russakovsky
FaML
26
92
0
10 May 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input
  Attributes from Feature Representations
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations
Tao Guo
Song Guo
Jiewei Zhang
Wenchao Xu
Junxiao Wang
MU
27
17
0
27 Feb 2022
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
Cemre Karakas
Alara Dirik
Eylül Yalçınkaya
Pinar Yanardag
25
28
0
13 Feb 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
Qualitative Analysis for Human Centered AI
Qualitative Analysis for Human Centered AI
Orestis Papakyriakopoulos
E. A. Watkins
Amy A. Winecoff
Klaudia Ja'zwiñska
Tithi Chattopadhyay
41
8
0
07 Dec 2021
Latent Space Smoothing for Individually Fair Representations
Latent Space Smoothing for Individually Fair Representations
Momchil Peychev
Anian Ruoss
Mislav Balunović
Maximilian Baader
Martin Vechev
FaML
36
19
0
26 Nov 2021
Fair Representation: Guaranteeing Approximate Multiple Group Fairness
  for Unknown Tasks
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks
Xudong Shen
Yongkang Wong
Mohan S. Kankanhalli
FaML
37
20
0
01 Sep 2021
LARGE: Latent-Based Regression through GAN Semantics
LARGE: Latent-Based Regression through GAN Semantics
Yotam Nitzan
Rinon Gal
Ofir Brenner
Daniel Cohen-Or
GAN
29
26
0
22 Jul 2021
Understanding and Evaluating Racial Biases in Image Captioning
Understanding and Evaluating Racial Biases in Image Captioning
Dora Zhao
Angelina Wang
Olga Russakovsky
30
134
0
16 Jun 2021
Understanding the Representation and Representativeness of Age in AI
  Data Sets
Understanding the Representation and Representativeness of Age in AI Data Sets
J. Park
Michael S. Bernstein
Robin N. Brewer
Ece Kamar
Meredith Ringel Morris
AI4TS
15
31
0
10 Mar 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
306
10,368
0
12 Dec 2018
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