PulseAugur
中
实时 07:55:45
English(EN) Paper lengths, and reasonable assumptions in ML conferences. [D]

研究人员声称，机器学习会议的论文长度规定惩罚了理论性工作

作者 PulseAugur 编辑部 · [1 个来源] ·

一位在 r/MachineLearning 论坛上的研究人员认为，当前机器学习会议关于论文长度和自包含性的政策不公平地惩罚了理论性论文。作者认为，审稿人常常因为缺乏先验知识或术语的感知难度而拒绝论文，而不是基于工作的实际影响。论文必须自包含且不鼓励阅读附录的规定加剧了这种情况，导致审稿人疲劳和任意拒绝。 AI

影响 可能会影响未来关于人工智能研究学术出版标准的讨论。

排序理由 该条目是一篇关于学术出版中常见问题的个人观点文章，而不是新发布或重大事件。

在 r/MachineLearning 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

研究人员声称，机器学习会议的论文长度规定惩罚了理论性工作

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
该条目是一篇关于学术出版中常见问题的个人观点文章，而不是新发布或重大事件。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, opinion
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
Standard
On-topic for AI-industry coverage; kept in the public index.
Story freshness
33 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/OutsideSimple4854 ·

    论文长度与ML会议中的合理假设

    <!-- SC_OFF --><div class="md"><p>I've usually been commenting on threads on conference reviews. I'm now expressing my observations here.</p> <p>To the best of my knowledge, paper lengths have been held constant at many conferences, and some conferences have &quot;unlimited appen…

相关话题