English(EN) SHiPPO: Recurrent Memory with Transported Polynomial Projections

SHiPPO 通过传输多项式投影推进循环记忆

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-07 04:00

研究人员推出了一种新颖的循环神经网络记忆机制 SHiPPO（Sylvester HiPPO），它增强了在长序列中保留和访问信息的能力。与先前将记忆固定在通道坐标中的方法不同，SHiPPO 将近似族和通道度量一起传输，从而实现动态更新并更好地恢复对顺序敏感的信息。实验表明，SHiPPO 变体可以回忆交错的绑定和操作，这表明在需要联想回忆的任务中性能有所提高。 AI

影响引入了一种新的循环神经网络记忆机制，可能会提高在需要顺序敏感信息回忆的任务上的性能。

排序理由该集群包含一篇详细介绍机器学习中循环记忆新方法的论文。[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) · Tomoya Mizuguchi, Bum Jun Kim · 2026-07-07 04:00

SHiPPO: 带有传输多项式投影的循环记忆

arXiv:2607.03055v1 Announce Type: new Abstract: HiPPO gives recurrent states memory semantics as coefficients of online polynomial projections, but in fixed channel coordinates. Modern selective SSMs, by contrast, rely on token-dependent control and channel interaction. We introd…

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SHiPPO: 带有传输多项式投影的循环记忆

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