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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Huaibin Qin

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Aug 2026

DEGL: dual-entropy guided loss with dynamic temperature regularization for long-tailed and imbalance-prone medical image classification

DEGL is proposed, a plug-and-play objective that aligns model confidence with dataset-level uncertainty during training and improves reliability and agreement metrics on imbalance-prone subsets while remaining competitive with representative calibration-oriented losses, including Focal, TET, and MiT.

Renkang Hong, Guanxi Wang, Wenjing Pan et al. · 0 citations

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