一位博士生正在寻求关于将经典机器学习研究投稿到顶级会议的建议，并指出他们关于SVM和LR的工作被拒绝，理由是这些主题“已经完成”。学生质疑主要会议是否只接受深度学习和LLM研究，并正在考虑期刊或arXiv等替代发表途径。 AI
影响 经典机器学习研究在顶级AI会议上的可见性可能面临困难，可能导致研究重点转向期刊或arXiv。
排序理由 用户正在就将经典机器学习论文投稿到会议征求建议。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
经典机器学习研究在顶级会议上面临挑战
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
- 用户正在就将经典机器学习论文投稿到会议征求建议。
- 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, paper
- 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
- Same-day
- Cluster formed today. Ranking reflects the current source set at time of score.
完整方法见我们的编辑标准。
报道来源 [1]
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关于经典机器学习会议投稿的建议 [D]
<!-- SC_OFF --><div class="md"><p>Hi,</p> <p>I need some advice on submission of classical ML papers in top conferences.</p> <p>During my PhD I made some findings in classical ML (related to SVM and LR) which, on further deep diving, looks like original work (I checked with chatG…