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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

Tao Li

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Aug 2026

Balancing clean accuracy and gradient robustness via mask-guided mixup and adaptive label refinement

A robustness-oriented training framework that integrates Mask-Guided Adversarial Mixup (MGAM) and Adaptive Timescale Exponential Moving Average (AT-EMA) that provides a practical data-regularization strategy for improving training stability in adversarial learning is proposed.

Guo Niu, Huanlin Mo, Shengjun Deng et al. · 0 citations

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