LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection.

@inproceedings{chen-2024-lara, author = {Feiyi Chen and Zhen Qin and Mengchu Zhou and Yingying Zhang and Shuiguang Deng and Lunting Fan and Guansong Pang and Qingsong Wen}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Ravi Kumar and Hady Wirawan Lauw and Roy Ka-Wei Lee}, title = {{LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection}}, booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}}, pages = {4138--4149}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589334.3645472}, doi = {https://doi.org/10.1145/3589334.3645472} }