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This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the RadarUnderstand more
Published: Oct 28, 2020
Oct 2020
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现代机器学习模型非常复杂,并且需要大量标记训练数据集进行学习。Snorkel 始于斯坦福 AI 实验室,开发者们意识到手动标记数据非常昂贵,而且通常不可用。Snorkel 使我们可以通过创建标记函数的方式自动对训练数据进行标记。Snorkel 采用监督式学习技术来评估这些标记函数的准确性和相关性,然后重新赋权并组合输出标签,从而生成高质量的训练标签。由此,Snorkel 的创建者们推出了一个名为 Snorkel Flow 的商业平台。尽管 Snorkel 本身已不再被积极研发,但它在使用弱监督方法标记数据方面的思想仍具有重要意义。