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cs.LG2026
HEDL: Hyper Evidential Deep Learning for Hierarchical Classification
Yuanye Liu, Xiahai Zhuang
Fine-grained recognition often involves hierarchical label spaces, where a model may be confident about a coarse semantic concept while remaining uncertain among its descendant cla…
cs.LG2026
Generalized Evidential Deep Learning: From a Bayesian Perspective
Yuanye Liu, Yibo Gao, Yuanyang Chen +1
Evidential Deep Learning (EDL) has emerged as an efficient, sampling-free strategy for uncertainty estimation. A series of EDL variants have been proposed to address specific limit…
cs.LG2024★ 3 cited
Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain Adaptation via Architecture Zoo
Jiangbo Pei, Ruizhe Li, Aidong Men +3
Conventional Multi-Source Free Domain Adaptation (MSFDA) assumes that each source domain provides a single source model, and all source models adopt a uniform architecture. This pa…