v1v2 (latest)

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers

9 March 2022

Dominik Zietlow

Michael Lohaus

Guha Balakrishnan

Matthäus Kleindessner

Francesco Locatello

Papers citing "Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers"

42 / 42 papers shown

Title
Subgroups Matter for Robust Bias Mitigation A. Alloula Charles Jones Ben Glocker Bartłomiej W. Papież 54 0 0 27 May 2025
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems Gökhan Özbulak Oscar Jimenez-del-Toro Maíra Fatoretto Lilian Berton André Anjos FaML 126 0 0 14 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 87 1 0 08 Mar 2025
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation Estanislao Claucich Sara Hooker Diego H. Milone Enzo Ferrante Rodrigo Echeveste FedML 103 0 0 24 Jan 2025
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning Yan Luo Congcong Wen Min Shi Hao Huang Yi Fang Mengyu Wang FedML 57 0 0 31 Dec 2024
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 279 2 0 05 Oct 2024
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 125 0 0 03 Oct 2024
Forte : Finding Outliers with Representation Typicality Estimation Debargha Ganguly Warren Morningstar A. Yu Vipin Chaudhary OODD 83 2 0 02 Oct 2024
Robust image representations with counterfactual contrastive learning Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD MedIm 133 2 0 16 Sep 2024
Fairness and Bias Mitigation in Computer Vision: A Survey Sepehr Dehdashtian Ruozhen He Yi Li Guha Balakrishnan Nuno Vasconcelos Vicente Ordonez Vishnu Boddeti 129 5 0 05 Aug 2024
On Biases in a UK Biobank-based Retinal Image Classification Model A. Alloula Rima Mustafa Daniel R. McGowan Bartlomiej W. Papie.z 90 3 0 30 Jul 2024
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification Sreeraj Ramachandran A. Rattani 74 1 0 14 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 122 3 0 30 Jun 2024
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods Vincent Olesen Nina Weng Aasa Feragen Eike Petersen 87 2 0 17 Jun 2024
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller 88 1 0 23 May 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning Yan Luo Minfei Shi Muhammad Osama Khan Muhammad Muneeb Afzal Hao Huang ... Luo Song Ava Kouhana T. Elze Yi Fang Mengyu Wang VLM 93 38 0 29 Mar 2024
The Limits of Fair Medical Imaging AI In The Wild Yuzhe Yang Haoran Zhang Judy W. Gichoya Dina Katabi Marzyeh Ghassemi 72 6 0 11 Dec 2023
GELDA: A generative language annotation framework to reveal visual biases in datasets Krish Kabra Kathleen M. Lewis Guha Balakrishnan VLM 44 1 0 29 Nov 2023
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier Hua Tang Lu Cheng Ninghao Liu Jundong Li FaML 60 1 0 19 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 113 14 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 64 10 0 03 Oct 2023
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? Abhishek Mandal Susan Leavy Suzanne Little ViT 106 5 0 15 Sep 2023
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation Hao Liang Pietro Perona Guha Balakrishnan CVBM 57 15 0 10 Aug 2023
Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis? Nina Weng Siavash Bigdeli Eike Petersen Aasa Feragen 98 11 0 09 Aug 2023
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 108 9 0 31 Jul 2023
The Role of Subgroup Separability in Group-Fair Medical Image Classification Charles Jones Mélanie Roschewitz Ben Glocker OOD 73 10 0 06 Jul 2023
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization Yan Luo Yu Tian Minfei Shi Louis R. Pasquale Lucy Q. Shen Nazlee Zebardast T. Elze Mengyu Wang 89 20 0 15 Jun 2023
HARD: Hard Augmentations for Robust Distillation Arne F. Nix Max F. Burg Fabian H. Sinz AAML 74 1 0 24 May 2023
Fair Without Leveling Down: A New Intersectional Fairness Definition Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller FaML 60 2 0 21 May 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 101 10 0 02 May 2023
Image retrieval outperforms diffusion models on data augmentation Max F. Burg F. Wenzel Dominik Zietlow Max Horn Osama Makansi Francesco Locatello Chris Russell VLM DiffM 108 17 0 20 Apr 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics Leonardo Iurada S. Bucci Timothy M. Hospedales Tatiana Tommasi 67 0 0 25 Mar 2023
FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification Zikang Xu Shang Zhao Quan Quan Qingsong Yao S. Kevin Zhou 121 14 0 15 Mar 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis Raghav Mehta Changjian Shui Tal Arbel 95 14 0 06 Mar 2023
On (assessing) the fairness of risk score models Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 67 21 0 17 Feb 2023
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 54 0 0 07 Feb 2023
A Differentiable Distance Approximation for Fairer Image Classification Nicholas Rosa Tom Drummond Mehrtash Harandi 71 0 0 09 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 173 65 0 04 Oct 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 143 76 0 19 Jul 2022
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 93 12 0 22 Jun 2022
InvGAN: Invertible GANs Partha Ghosh Dominik Zietlow Michael J. Black Larry S. Davis Xiaochen Hu DiffM 78 7 0 08 Dec 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 99 23 0 20 Jul 2021