LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection

Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian. LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection. In Michael J. Wooldridge, Jennifer G. Dy, Sriraam Natarajan, editors, Thirty-Eigth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada. pages 135-143, AAAI Press, 2024. [doi]

@inproceedings{GuoYLBWLZZPT24,
  title = {LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection},
  author = {Hongcheng Guo and Jian Yang and Jiaheng Liu and Jiaqi Bai and Boyang Wang and Zhoujun Li and Tieqiao Zheng and Bo Zhang and Junran Peng and Qi Tian},
  year = {2024},
  doi = {10.1609/aaai.v38i1.27764},
  url = {https://doi.org/10.1609/aaai.v38i1.27764},
  researchr = {https://researchr.org/publication/GuoYLBWLZZPT24},
  cites = {0},
  citedby = {0},
  pages = {135-143},
  booktitle = {Thirty-Eigth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada},
  editor = {Michael J. Wooldridge and Jennifer G. Dy and Sriraam Natarajan},
  publisher = {AAAI Press},
}