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English(EN) stuck on finding a approach for app detection ( making a transformer modal out of unlabeled network data) [R] [P]

用户寻求使用 Transformer 模型从无标签网络数据中检测应用的方法

Reddit 的 r/MachineLearning 版块上一位用户正在寻求关于开发 Transformer 模型以根据无标签网络流量数据检测应用的建议。该用户拥有大量无标签数据和少量已标记的有限数量应用的数据。他们正在探索自监督学习技术,如对比学习和掩码建模,以及预训练和微调方法。一个关键的担忧是确保模型学会识别应用,而不是用户或设备特定的模式。 AI

排序理由 这是一个用户在论坛上寻求技术建议的帖子,并非新闻事件。

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 →

用户寻求使用 Transformer 模型从无标签网络数据中检测应用的方法

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Meme
这是一个用户在论坛上寻求技术建议的帖子,并非新闻事件。
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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.
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other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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报道来源 [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/AdventurousWear618 ·

    在寻找应用程序检测方法时遇到瓶颈(使用未标记的网络数据构建 Transformer 模型)[R][P]

    <!-- SC_OFF --><div class="md"><p>As the title suggests I'm currently trying to make a modal to identify which app is being used. The thing is I don't have labelled data and generating it is out of question since that is a lot of work ( I need to detect like 3-5K apps give or tak…