FairVision: Equitable Deep Learning for Eye Disease Screening via Fair
Identity Scaling

FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling

3 October 2023

Muhammad Osama Khan

Papers citing "FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling"

15 / 15 papers shown

Title
The Role of Subgroup Separability in Group-Fair Medical Image Classification Charles Jones Mélanie Roschewitz Ben Glocker OOD 33 10 0 06 Jul 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 422 7,705 0 11 Nov 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 389 21,281 0 25 Mar 2021
Fair Attribute Classification through Latent Space De-biasing V. V. Ramaswamy Sunnie S. Y. Kim Olga Russakovsky 54 163 0 02 Dec 2020
Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing Yi Zhang Jitao Sang 50 55 0 27 Jul 2020
Fairness by Learning Orthogonal Disentangled Representations Mhd Hasan Sarhan Nassir Navab Abouzar Eslami Shadi Albarqouni FaML OOD CML 73 97 0 12 Mar 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 65 78 0 24 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 78 291 0 14 Feb 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 83 1,234 0 20 Nov 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 127 18,058 0 28 May 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 110 2,583 0 21 Jan 2019
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 182 1,099 0 06 Mar 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 76 444 0 23 Feb 2018
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 166 4,301 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 704 36,708 0 25 Aug 2016

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