Semi-Supervised Anomaly Detection through Denoising-Aware Contrastive Distance Learning.
Jianling Gao|Chongyang Tao|Zhenchao Sun|Xiya Jiang|Shuai Ma
| Anthology ID: | DBLP:conf/www/GaoTSJ025 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2111-2119 |
| URL: | https://doi.org/10.1145/3696410.3714626 |
| DOI: | https://doi.org/10.1145/3696410.3714626 |
| DBLP: | conf/www/GaoTSJ025 |
| BibTeX: |
@inproceedings{gao-2025-semisupervised,
author = {Jianling Gao and
Chongyang Tao and
Zhenchao Sun and
Xiya Jiang and
Shuai Ma},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Semi-Supervised Anomaly Detection through Denoising-Aware Contrastive Distance Learning}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {2111--2119},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714626},
doi = {https://doi.org/10.1145/3696410.3714626}
}