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fairness learning

4 papers

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Co-occurring keywords · papers mentioning both

medical image segmentation (2) error-bound scaling (1) distribution-aware (1) group-acquired alignment (1) unbiased virtual graph data (1) dice coefficient (1) graph neural network (1) contrastive clustering (1) segment anything model (1) mixture of expert (1)

Papers

DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning ICML 2025 Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective ICML 2025 FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding CVPR 2025 FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling ICLR 2024