TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Gheisi, Leila, Chu, Henry, Gottumukkala, Raju, Luo, Yan, Zhu, Xingquan, Wang, Mengyu, Shi, Min |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
by: Li, Minghan, et al.
Published: (2025)
by: Li, Minghan, et al.
Published: (2025)
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
by: Zubair, Md, et al.
Published: (2025)
by: Zubair, Md, et al.
Published: (2025)
On Demographic Group Fairness Guarantees in Deep Learning
by: Luo, Yan, et al.
Published: (2024)
by: Luo, Yan, et al.
Published: (2024)
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
by: Luo, Yan, et al.
Published: (2023)
by: Luo, Yan, et al.
Published: (2023)
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling
by: Luo, Yan, et al.
Published: (2023)
by: Luo, Yan, et al.
Published: (2023)
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
by: Tian, Yu, et al.
Published: (2023)
by: Tian, Yu, et al.
Published: (2023)
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
by: Luo, Yiqin, et al.
Published: (2024)
by: Luo, Yiqin, et al.
Published: (2024)
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
by: Gao, Yicheng, et al.
Published: (2024)
by: Gao, Yicheng, et al.
Published: (2024)
FairViT: Fair Vision Transformer via Adaptive Masking
by: Tian, Bowei, et al.
Published: (2024)
by: Tian, Bowei, et al.
Published: (2024)
FairAdapter: Detecting AI-generated Images with Improved Fairness
by: Ding, Feng, et al.
Published: (2024)
by: Ding, Feng, et al.
Published: (2024)
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
by: Shrestha, Robik, et al.
Published: (2024)
by: Shrestha, Robik, et al.
Published: (2024)
OxEnsemble: Fair Ensembles for Low-Data Classification
by: Rystrøm, Jonathan, et al.
Published: (2025)
by: Rystrøm, Jonathan, et al.
Published: (2025)
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations
by: Zhang, Xiang
Published: (2024)
by: Zhang, Xiang
Published: (2024)
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
by: Tian, Yu, et al.
Published: (2024)
by: Tian, Yu, et al.
Published: (2024)
FairCLIP: Harnessing Fairness in Vision-Language Learning
by: Luo, Yan, et al.
Published: (2024)
by: Luo, Yan, et al.
Published: (2024)
Preserving Fairness Generalization in Deepfake Detection
by: Lin, Li, et al.
Published: (2024)
by: Lin, Li, et al.
Published: (2024)
FairDD: Fair Dataset Distillation
by: Zhou, Qihang, et al.
Published: (2024)
by: Zhou, Qihang, et al.
Published: (2024)
Multimodal Approaches to Fair Image Classification: An Ethical Perspective
by: Hickmon, Javon
Published: (2024)
by: Hickmon, Javon
Published: (2024)
Fair Text-to-Image Diffusion via Fair Mapping
by: Li, Jia, et al.
Published: (2023)
by: Li, Jia, et al.
Published: (2023)
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
by: Schumann, Candice, et al.
Published: (2023)
by: Schumann, Candice, et al.
Published: (2023)
Finetuning Text-to-Image Diffusion Models for Fairness
by: Shen, Xudong, et al.
Published: (2023)
by: Shen, Xudong, et al.
Published: (2023)
KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation
by: Davoodi, Farbod, et al.
Published: (2026)
by: Davoodi, Farbod, et al.
Published: (2026)
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains
by: Lin, Yumeng, et al.
Published: (2025)
by: Lin, Yumeng, et al.
Published: (2025)
Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
by: Paxton, Kuniko, et al.
Published: (2025)
by: Paxton, Kuniko, et al.
Published: (2025)
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
by: Ramachandran, Sreeraj, et al.
Published: (2024)
by: Ramachandran, Sreeraj, et al.
Published: (2024)
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation
by: Luo, Yan, et al.
Published: (2024)
by: Luo, Yan, et al.
Published: (2024)
INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models
by: Jin, Di, et al.
Published: (2024)
by: Jin, Di, et al.
Published: (2024)
Utility-Fairness Trade-Offs and How to Find Them
by: Dehdashtian, Sepehr, et al.
Published: (2024)
by: Dehdashtian, Sepehr, et al.
Published: (2024)
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
by: Xu, Ying, et al.
Published: (2022)
by: Xu, Ying, et al.
Published: (2022)
Fairness in Multi-modal Medical Diagnosis with Demonstration Selection
by: Li, Dawei, et al.
Published: (2025)
by: Li, Dawei, et al.
Published: (2025)
FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
by: Roy, Arjun, et al.
Published: (2023)
by: Roy, Arjun, et al.
Published: (2023)
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
by: Yang, Cheng, et al.
Published: (2024)
by: Yang, Cheng, et al.
Published: (2024)
From the Fair Distribution of Predictions to the Fair Distribution of Social Goods: Evaluating the Impact of Fair Machine Learning on Long-Term Unemployment
by: Zezulka, Sebastian, et al.
Published: (2024)
by: Zezulka, Sebastian, et al.
Published: (2024)
Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains
by: Belhadj, Samia, et al.
Published: (2024)
by: Belhadj, Samia, et al.
Published: (2024)
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
by: Qi, Qi, et al.
Published: (2024)
by: Qi, Qi, et al.
Published: (2024)
An AI-Enabled Framework Within Reach for Enhancing Healthcare Sustainability and Fairness
by: Huang, Bin, et al.
Published: (2024)
by: Huang, Bin, et al.
Published: (2024)
Data-Driven Fairness Generalization for Deepfake Detection
by: Ezeakunne, Uzoamaka, et al.
Published: (2024)
by: Ezeakunne, Uzoamaka, et al.
Published: (2024)
FairGT: A Fairness-aware Graph Transformer
by: Luo, Renqiang, et al.
Published: (2024)
by: Luo, Renqiang, et al.
Published: (2024)
Balancing the Scales: Reinforcement Learning for Fair Classification
by: Eshuijs, Leon, et al.
Published: (2024)
by: Eshuijs, Leon, et al.
Published: (2024)
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
by: Zhao, Shiji, et al.
Published: (2023)
by: Zhao, Shiji, et al.
Published: (2023)
Similar Items
-
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
by: Li, Minghan, et al.
Published: (2025) -
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
by: Zubair, Md, et al.
Published: (2025) -
On Demographic Group Fairness Guarantees in Deep Learning
by: Luo, Yan, et al.
Published: (2024) -
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
by: Luo, Yan, et al.
Published: (2023) -
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling
by: Luo, Yan, et al.
Published: (2023)