ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning.
Jaehoon Oh|Sungnyun Kim|Kartikay Khandelwal|Namgyu Ho|Sungnyun Kim|Kartikay Khandelwal|Jin-Hwa Kim|Hwanjun Song|Se-Young Yun
| Anthology ID: | DBLP:conf/cikm/OhKHKSY22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4359-4363 |
| URL: | https://doi.org/10.1145/3511808.3557681 |
| DOI: | https://doi.org/10.1145/3511808.3557681 |
| DBLP: | conf/cikm/OhKHKSY22 |
| BibTeX: |
@inproceedings{oh-2022-refine,
author = {Jaehoon Oh and
Sungnyun Kim and
Kartikay Khandelwal and
Namgyu Ho and
Sungnyun Kim and
Kartikay Khandelwal and
Jin-Hwa Kim and
Hwanjun Song and
Se-Young Yun},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4359--4363},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557681},
doi = {https://doi.org/10.1145/3511808.3557681}
}