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Updated: Jun 14, 2025

An R-Based Landscape Validation of a Competing Risk Model
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弥合差距:Rademacher复杂性在强大和标准的泛化中

Jiancong Xiao1, Ruoyu Sun2, Qi Long1

  • 1University of Pennsylvania.

Proceedings of machine learning research
|August 29, 2024
PubMed
概括

这项研究通过引入一种新的统一覆盖数来改善深度神经网络 (DNN) 的对抗性概括. 这种方法实现了更严格的Rademacher复杂度限制,与DNN的标准概括性能相匹配.

关键词:
敌对强大的一般化 一般化.覆盖号码 覆盖号码雷达制造商的复杂性

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