Self-supervised Dual-view Framework with Tailored Negative Sampling for New Activity Detection.
| Anthology ID: | DBLP:conf/cikm/0001L25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1313-1323 |
| URL: | https://doi.org/10.1145/3746252.3761163 |
| DOI: | https://doi.org/10.1145/3746252.3761163 |
| DBLP: | conf/cikm/0001L25 |
| BibTeX: |
@inproceedings{kim-2025-selfsupervised,
author = {Hyunju Kim and
Dongman Lee},
editor = {Carl Yang and
Meeyoung Cha and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{Self-supervised Dual-view Framework with Tailored Negative Sampling for New Activity Detection}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {1313--1323},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761163},
doi = {https://doi.org/10.1145/3746252.3761163}
}