Feb. 15, 2024, 5:41 a.m. | Mingrui Ma, Lansheng Han, Chunjie Zhou

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.08975v1 Announce Type: new
Abstract: Transformer, as one of the most advanced neural network models in Natural Language Processing (NLP), exhibits diverse applications in the field of anomaly detection. To inspire research on Transformer-based anomaly detection, this review offers a fresh perspective on the concept of anomaly detection. We explore the current challenges of anomaly detection and provide detailed insights into the operating principles of Transformer and its variants in anomaly detection tasks. Additionally, we delineate various application scenarios for …

abstract advanced anomaly anomaly detection application applications arxiv concept cs.ai cs.lg detection diverse diverse applications language language processing literature natural natural language natural language processing network neural network nlp perspective processing research review transformer type

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