Self-supervised Dual-view Framework with Tailored Negative Sampling for New Activity Detection.

Hyunju Kim|Dongman Lee


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} }