A soft mixture-of-experts model with a load-balancing loss improves multimodal glaucoma detection AUC by 0.5–1.5 points over strong baselines on three datasets.
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Balanced Soft mixture-of-expert model for Glaucoma Detection
A soft mixture-of-experts model with a load-balancing loss improves multimodal glaucoma detection AUC by 0.5–1.5 points over strong baselines on three datasets.