FairDD: Fair Dataset Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Qihang, Fang, Shenhao, He, Shibo, Meng, Wenchao, Chen, Jiming |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Fair Text-to-Image Diffusion via Fair Mapping
by: Li, Jia, et al.
Published: (2023)
by: Li, Jia, et al.
Published: (2023)
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction
by: Gheisi, Leila, et al.
Published: (2024)
by: Gheisi, Leila, et al.
Published: (2024)
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)
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)
Data-Driven Fairness Generalization for Deepfake Detection
by: Ezeakunne, Uzoamaka, et al.
Published: (2024)
by: Ezeakunne, Uzoamaka, et al.
Published: (2024)
Finetuning Text-to-Image Diffusion Models for Fairness
by: Shen, Xudong, et al.
Published: (2023)
by: Shen, Xudong, et al.
Published: (2023)
Multimodal Approaches to Fair Image Classification: An Ethical Perspective
by: Hickmon, Javon
Published: (2024)
by: Hickmon, Javon
Published: (2024)
LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels
by: Ohki, Tetsushi, et al.
Published: (2024)
by: Ohki, Tetsushi, et al.
Published: (2024)
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)
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)
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
by: Qi, Qi, et al.
Published: (2024)
by: Qi, Qi, et al.
Published: (2024)
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
by: Li, Minghan, et al.
Published: (2025)
by: Li, Minghan, et al.
Published: (2025)
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
by: Shrestha, Robik, et al.
Published: (2024)
by: Shrestha, Robik, 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)
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities
by: Moukheiber, Dana, et al.
Published: (2024)
by: Moukheiber, Dana, et al.
Published: (2024)
Constructing Fair Latent Space for Intersection of Fairness and Explainability
by: Joo, Hyungjun, et al.
Published: (2024)
by: Joo, Hyungjun, et al.
Published: (2024)
Fairness Evaluation of Risk Estimation Models for Lung Cancer Screening
by: Gaur, Shaurya, et al.
Published: (2025)
by: Gaur, Shaurya, et al.
Published: (2025)
On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning''
by: Bakker, Hua Chang, et al.
Published: (2025)
by: Bakker, Hua Chang, et al.
Published: (2025)
PointAD+: Learning Hierarchical Representations for Zero-shot 3D Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2025)
by: Zhou, Qihang, et al.
Published: (2025)
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
by: Zhao, Shiji, et al.
Published: (2023)
by: Zhao, Shiji, et al.
Published: (2023)
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2024)
by: Zhou, Qihang, et al.
Published: (2024)
FairNVT: Improving Fairness via Noise Injection in Vision Transformers
by: Tang, Qiaoyue, et al.
Published: (2026)
by: Tang, Qiaoyue, et al.
Published: (2026)
Preserving Fairness Generalization in Deepfake Detection
by: Lin, Li, et al.
Published: (2024)
by: Lin, Li, et al.
Published: (2024)
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)
Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
by: Mishra, Divyanshu, et al.
Published: (2025)
by: Mishra, Divyanshu, et al.
Published: (2025)
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
by: Kang, Mintong, et al.
Published: (2025)
by: Kang, Mintong, et al.
Published: (2025)
Benchmarking the Fairness of Image Upsampling Methods
by: Laszkiewicz, Mike, et al.
Published: (2024)
by: Laszkiewicz, Mike, et al.
Published: (2024)
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)
FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models
by: Sahili, Zahraa Al, et al.
Published: (2024)
by: Sahili, Zahraa Al, et al.
Published: (2024)
LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders
by: Han, Boyu, et al.
Published: (2025)
by: Han, Boyu, et al.
Published: (2025)
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
by: Sun, Peng, et al.
Published: (2023)
by: Sun, Peng, et al.
Published: (2023)
Dataset Distillation via the Wasserstein Metric
by: Liu, Haoyang, et al.
Published: (2023)
by: Liu, Haoyang, et al.
Published: (2023)
Soft Label Pruning and Quantization for Large-Scale Dataset Distillation
by: Lingao, Xiao, et al.
Published: (2026)
by: Lingao, Xiao, et al.
Published: (2026)
Fairness in Multi-modal Medical Diagnosis with Demonstration Selection
by: Li, Dawei, et al.
Published: (2025)
by: Li, Dawei, et al.
Published: (2025)
Hyperbolic Dataset Distillation
by: Li, Wenyuan, et al.
Published: (2025)
by: Li, Wenyuan, et al.
Published: (2025)
HoloFair: Unified T2I Fairness Evaluation and Fair-GRPO Debiasing
by: Chen, Ruyi, et al.
Published: (2026)
by: Chen, Ruyi, et al.
Published: (2026)
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models
by: Yang, Junjie, et al.
Published: (2024)
by: Yang, Junjie, 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)
Generative Dataset Distillation Based on Self-knowledge Distillation
by: Li, Longzhen, et al.
Published: (2025)
by: Li, Longzhen, et al.
Published: (2025)
Similar Items
-
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
by: Luo, Yiqin, et al.
Published: (2024) -
Fair Text-to-Image Diffusion via Fair Mapping
by: Li, Jia, et al.
Published: (2023) -
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction
by: Gheisi, Leila, et al.
Published: (2024) -
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
by: Zubair, Md, et al.
Published: (2025) -
Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains
by: Belhadj, Samia, et al.
Published: (2024)