TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates.
| Anthology ID: | DBLP:conf/cikm/DangeS25 |
|---|---|
| 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: | 498-507 |
| URL: | https://doi.org/10.1145/3746252.3761272 |
| DOI: | https://doi.org/10.1145/3746252.3761272 |
| DBLP: | conf/cikm/DangeS25 |
| BibTeX: |
@inproceedings{dange-2025-tfmadapter,
author = {Afrin Dange and
Sunita Sarawagi},
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 = {{TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {498--507},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761272},
doi = {https://doi.org/10.1145/3746252.3761272}
}