English(EN) Theoretical Guarantees for One-Shot Magnitude Pruning and Compute-Adaptive Early Exit

新理论为神经网络剪枝和提前退出提供计算保证

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-14 04:00

研究人员为优化神经网络计算开发了理论保证。他们的工作统一了单次幅度剪枝和提前退出策略的概念。他们证明了单神经元模型中单次幅度剪枝的集中定理，并引入了用于提前退出的条件感知器，表明其泛化误差随计算差距而衰减。 AI

影响为更高效的神经网络架构提供了理论基础，有可能降低计算成本。

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arXiv cs.LG TIER_1 English(EN) · Erdem Koyuncu · 2026-09-14 04:00

One-Shot Magnitude Pruning and Compute-Adaptive Early Exit 的理论保证

arXiv:2609.12337v1 Announce Type: new Abstract: We study compute reduction in neural networks through a unified partial versus full computation view, captured by one-shot magnitude pruning in the static regime and early exit in the adaptive regime. In an asymptotic single-neuron …