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English(EN) Persistence Paradox in Dynamic Science: Evidence from the Deep Learning Revolution

研究发现：深度学习革命贬低了既有专业知识的价值

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新的arXiv论文，题为“动态科学中的持久性悖论：深度学习革命的证据”，挑战了持久性在科学研究中总是美德的观念。该研究分析了2012年前活跃在机器学习领域的5000多名科学家，发现虽然持久性与生产力相关，但在AlexNet催化的深度学习范式转变之后，它对科学影响力产生了负面影响。先前成功的或属于成熟团队的研究人员在新格局下适应得更慢，这表明在范式转变时期，既有专业知识可能成为劣势。 AI

影响 表明在AI等快速发展的领域，适应性可能比持续专注于先前专业知识对影响力更重要。

排序理由 分析科学职业轨迹和影响力的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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研究发现：深度学习革命贬低了既有专业知识的价值

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分析科学职业轨迹和影响力的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Honglin Bao, Beichen Lu, Kai Li ·

    动态科学中的持久性悖论：深度学习革命的证据

    arXiv:2506.22729v3 Announce Type: replace-cross Abstract: Persistence is often regarded as a virtue in science. In this paper, however, we challenge this conventional view by highlighting its contextual nature, particularly how persistence can become a liability during paradigm s…

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