Generative Adversarial Active Learning for Unsupervised Outlier Detection
نویسندگان
چکیده
منابع مشابه
Generative Adversarial Active Learning
We propose a new active learning by query synthesis approach using Generative Adversarial Networks (GAN). Different from regular active learning, the resulting algorithm adaptively synthesizes training instances for querying to increase learning speed. We generate queries according to the uncertainty principle, but our idea can work with other active learning principles. We report results from ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2019
ISSN: 1041-4347,1558-2191,2326-3865
DOI: 10.1109/tkde.2019.2905606