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Sep, 2024
通过先前数据拟合网络进行零样本异常检测:模型选择的遗忘!
Zero-shot Outlier Detection via Prior-data Fitted Networks: Model Selection Bygone!
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Yuchen Shen, Haomin Wen, Leman Akoglu
TL;DR
本研究针对异常检测中的模型选择瓶颈,提出了FoMo-0D,创新性地绕过了模型选择的难题。该方法利用先前数据拟合网络,能够在推理阶段快速预测测试数据的标签,显著提升了零样本异常检测的效率和应用性。
Abstract
Outlier Detection
(OD) has a vast literature as it finds numerous applications in environmental monitoring, cybersecurity, finance, and medicine to name a few. Being an inherently unsupervised task,
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