Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2003.05707
Cited By
v1
v2
v3 (latest)
Fairness by Learning Orthogonal Disentangled Representations
European Conference on Computer Vision (ECCV), 2020
12 March 2020
Mhd Hasan Sarhan
Nassir Navab
Abouzar Eslami
Shadi Albarqouni
FaML
OOD
CML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Fairness by Learning Orthogonal Disentangled Representations"
50 / 67 papers shown
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
Yuhong Luo
Austin Hoag
Xintong Wang
Philip S Thomas
Przemyslaw A. Grabowicz
FaML
316
0
0
23 Oct 2025
Improving Recommendation Fairness via Graph Structure and Representation Augmentation
Tongxin Xu
Wenqiang Liu
Chenzhong Bin
Cihan Xiao
Zhixin Zeng
Tianlong Gu
154
0
0
27 Aug 2025
Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language Models
Yuexuan Xia
Benteng Ma
Jiang He
Zhiyong Wang
Qi Dou
Yong Xia
VLM
179
0
0
26 Aug 2025
PASS: Private Attributes Protection with Stochastic Data Substitution
Yizhuo Chen
Chun-Fu
Chen
Hsiang Hsu
Shaohan Hu
Tarek Abdelzaher
369
1
0
08 Jun 2025
Shielding Latent Face Representations From Privacy Attacks
IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2025
Arjun Ramesh Kaushik
Bharat Chandra Yalavarthi
Arun Ross
Vishnu Boddeti
Nalini Ratha
289
1
0
19 May 2025
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Insung Kong
Kunwoong Kim
Yongdai Kim
FaML
440
6
0
09 May 2025
EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing
Hongxiang Jiang
Jihao Yin
Qixiong Wang
Jiaqi Feng
Guo Chen
324
6
0
30 Mar 2025
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
Lin-Chun Huang
Ching Chieh Tsao
Fang Su
Jung-Hsien Chiang
420
4
0
16 Mar 2025
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
Chenrui Ma
Rongchang Zhao
Xi Xiao
Hongyang Xie
Tianyang Wang
498
8
0
11 Mar 2025
Constructing Fair Latent Space for Intersection of Fairness and Explainability
AAAI Conference on Artificial Intelligence (AAAI), 2024
Hyungjun Joo
Hyeonggeun Han
Sehwan Kim
Sangwoo Hong
Jungwoo Lee
354
2
0
23 Dec 2024
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
Yicheng Gao
Jinkui Hao
Bo Zhou
390
0
0
20 Dec 2024
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
International Conference on Learning Representations (ICLR), 2024
Charles Jones
Fabio De Sousa Ribeiro
Mélanie Roschewitz
Daniel Coelho De Castro
Ben Glocker
FaML
OOD
CML
701
7
0
05 Oct 2024
Transferring disentangled representations: bridging the gap between synthetic and real images
Neural Information Processing Systems (NeurIPS), 2024
Jacopo Dapueto
Nicoletta Noceti
Francesca Odone
OOD
557
2
0
26 Sep 2024
Multi-Output Distributional Fairness via Post-Processing
Gang Li
Qihang Lin
Ayush Ghosh
Tianbao Yang
620
1
0
31 Aug 2024
Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almudévar
Alfonso Ortega
DRL
CoGe
431
1
0
13 Aug 2024
On Biases in a UK Biobank-based Retinal Image Classification Model
A. Alloula
Rima Mustafa
Daniel R. McGowan
Bartlomiej W. Papie.z
320
3
0
30 Jul 2024
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
Yu Tian
Congcong Wen
Min Shi
Muhammad Muneeb Afzal
Niraj Pudasaini
Muhammad Osama Khan
Yan Luo
Yi Fang
Mengyu Wang
OOD
343
29
0
11 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness
Eoin Delaney
Zihao Fu
Sandra Wachter
Brent Mittelstadt
Chris Russell
FaML
299
10
0
30 Jun 2024
Achieving Fairness Across Local and Global Models in Federated Learning
Disha Makhija
Xing Han
Joydeep Ghosh
Yejin Kim
FedML
318
10
0
24 Jun 2024
Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations
Mukhtar Mohamed
Oli Danyi Liu
Hao Tang
Sharon Goldwater
SSL
315
10
0
13 Jun 2024
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
International Conference on Machine Learning (ICML), 2024
Zheng Huang
Qihui Yang
Dawei Zhou
Yujun Yan
AI4CE
442
9
0
07 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
542
4
0
03 Jun 2024
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations
International Conference on Medical Imaging with Deep Learning (MIDL), 2024
Nima Fathi
Amar Kumar
Brennan Nichyporuk
Mohammad Havaei
Tal Arbel
DiffM
CML
374
7
0
15 May 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning
Yan Luo
Minfei Shi
Muhammad Osama Khan
Muhammad Muneeb Afzal
Niraj Pudasaini
...
Luo Song
Ava Kouhana
T. Elze
Yi Fang
Mengyu Wang
VLM
396
84
0
29 Mar 2024
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
Songjie Xie
Youlong Wu
Jiaxuan Li
Ming Ding
Khaled B. Letaief
AAML
221
3
0
16 Feb 2024
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
International Conference on Learning Representations (ICLR), 2023
Yu Tian
Minfei Shi
Yan Luo
Ava Kouhana
T. Elze
Mengyu Wang
409
9
0
03 Nov 2023
Learning Fair Representations with High-Confidence Guarantees
Yuhong Luo
Austin Hoag
Philip S Thomas
FaML
AI4TS
387
1
0
23 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
International Conference on Learning Representations (ICLR), 2023
Raman Dutt
Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
582
30
0
08 Oct 2023
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
364
15
0
03 Oct 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction
Xianjing Liu
Yue Liu
Meike W. Vernooij
E. Wolvius
Gennady V. Roshchupkin
Esther E. Bron
MedIm
403
2
0
03 Oct 2023
Towards Poisoning Fair Representations
International Conference on Learning Representations (ICLR), 2023
Tianci Liu
Haoyu Wang
Feijie Wu
Hengtong Zhang
Pan Li
Lu Su
Jing Gao
AAML
242
3
0
28 Sep 2023
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations
Nilesh Kumar
Ruby Shrestha
Zhiyuan Li
Linwei Wang
CML
OOD
342
2
0
12 Aug 2023
Elucidate Gender Fairness in Singing Voice Transcription
ACM Multimedia (ACM MM), 2023
Xiangming Gu
Weizhen Zeng
Ye Wang
283
4
0
05 Aug 2023
FAIRER: Fairness as Decision Rationale Alignment
International Conference on Machine Learning (ICML), 2023
Tianlin Li
Qing Guo
Aishan Liu
Mengnan Du
Zhiming Li
Yang Liu
348
19
0
27 Jun 2023
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
IEEE Transactions on Medical Imaging (TMI), 2023
Yan Luo
Yu Tian
Minfei Shi
Louis R. Pasquale
Lucy Q. Shen
Nazlee Zebardast
T. Elze
Mengyu Wang
285
45
0
15 Jun 2023
Fairness in AI and Its Long-Term Implications on Society
Ondrej Bohdal
Timothy M. Hospedales
Juil Sock
Fazl Barez
291
8
0
16 Apr 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
AAAI Conference on Artificial Intelligence (AAAI), 2023
Ruijin Sun
Fengwei Zhou
Zhenhua Dong
Chuanlong Xie
Lanqing Hong
Jiawei Li
Rui-Xun Zhang
Zerui Li
Zhenguo Li
217
3
0
01 Apr 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
Leonardo Iurada
S. Bucci
Timothy M. Hospedales
Tatiana Tommasi
267
1
0
25 Mar 2023
Distortion-Disentangled Contrastive Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Jinfeng Wang
Sifan Song
Jionglong Su
S. Kevin Zhou
SSL
390
8
0
09 Mar 2023
Efficient fair PCA for fair representation learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Matthäus Kleindessner
Michele Donini
Chris Russell
Muhammad Bilal Zafar
FaML
234
27
0
26 Feb 2023
Disentangling Learning Representations with Density Estimation
International Conference on Learning Representations (ICLR), 2023
Eric C. Yeats
Frank Liu
Hai Helen Li
BDL
DRL
CML
310
2
0
08 Feb 2023
Fairness-aware Vision Transformer via Debiased Self-Attention
European Conference on Computer Vision (ECCV), 2023
Yao Qiang
Chengyin Li
Prashant Khanduri
D. Zhu
ViT
333
13
0
31 Jan 2023
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Information Processing in Medical Imaging (IPMI), 2023
Wenlong Deng
Yuan Zhong
Qianming Dou
Xiaoxiao Li
FaML
405
27
0
04 Jan 2023
FARE: Provably Fair Representation Learning with Practical Certificates
International Conference on Machine Learning (ICML), 2022
Nikola Jovanović
Mislav Balunović
Dimitar I. Dimitrov
Martin Vechev
392
20
0
13 Oct 2022
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis
Laurent Risser
Agustin Picard
Lucas Hervier
Jean-Michel Loubes
FaML
296
7
0
10 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging
International Conference on Learning Representations (ICLR), 2022
Yongshuo Zong
Yongxin Yang
Timothy M. Hospedales
OOD
463
97
0
04 Oct 2022
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review
Zikang Xu
Jun Li
Yongshuo Zong
Han Li
Qingsong Yao
S. Kevin Zhou
718
50
0
27 Sep 2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
Siyi Du
Ben Hers
Nourhan Bayasi
Ghassan Hamarneh
Rafeef Garbi
364
33
0
22 Aug 2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022
Ziqi Xu
Jixue Liu
Debo Cheng
Jiuyong Li
Lin Liu
Ke Wang
FaML
OOD
CML
407
17
0
19 Aug 2022
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
European Conference on Computer Vision (ECCV), 2022
Zhiheng Li
A. Hoogs
Chenliang Xu
270
71
0
20 Jul 2022
1
2
Next
Page 1 of 2
