English(EN) Connecting Independently Trained Modes via Layer-Wise Connectivity

新算法连接独立训练的神经网络模式

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-29 04:00

研究人员开发了一种新颖的经验算法，可以在独立训练的神经网络模型之间建立连续的低损耗路径，这种现象被称为模式连接。这种新方法比以前的技术具有更广泛的适用性，成功连接了包括MobileNet、EfficientNet和Compact Convolutional Transformers (CCT)在内的更广泛的架构。该算法还提供了更一致的连接路径，并支持链接使用不同超参数训练的模式。 AI

排序理由这是一篇关于神经网络模式连接新算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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arXiv cs.LG TIER_1 English(EN) · Yongding Tian, Zaid Al-Ars, Maksim Kitsak, Peter Hofstee · 2026-05-29 04:00

通过层级连接连接独立训练的模式

arXiv:2505.02604v5 Announce Type: replace Abstract: Empirical studies have shown that continuous low-loss paths can be constructed between independently trained neural network models. This phenomenon, known as mode connectivity, refers to the existence of such paths between disti…

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通过层级连接连接独立训练的模式

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