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English(EN) Where to submit stat/prob ML [D]

统计/概率机器学习研究人员在大型语言模型主导顶级会议之际寻求新发表平台

一位统计和概率机器学习的研究人员观察到,顶级机器学习会议出现显著转变,基于大型语言模型(LLM)的研究和智能体方法在海报展示和研讨会上占据主导地位。这一趋势促使该研究人员思考,更广泛的统计和概率机器学习社区可以在哪里最好地展示他们的工作,并考虑AISTATS和UAI等会议作为ICLR和NeurIPS等传统知名会议的潜在替代方案。 AI

影响 会议焦点的转移可能会影响统计和概率机器学习研究的可见性和传播。

排序理由 来自一位研究人员关于机器学习会议趋势的观点文章。

在 r/MachineLearning 阅读 →

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统计/概率机器学习研究人员在大型语言模型主导顶级会议之际寻求新发表平台

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
来自一位研究人员关于机器学习会议趋势的观点文章。
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
opinion, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
1 days old
Coverage has settled into its steady-state 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/didimoney ·

    在哪里提交统计/概率机器学习 [D]

    <!-- SC_OFF --><div class="md"><p>I'm a researcher in statistical and probabilistic ML, I have a steady record of top ML publications and really used to enjoy going to conferences.</p> <p>Over the last few years LLM based works have completely taken over the top conferences. At t…