TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates.

Afrin Dange|Sunita Sarawagi


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} }