iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models.
Yakun Yu|Shiang Qi|Jiuding Yang|Liyao Jiang|Di Niu
| Anthology ID: | DBLP:conf/cikm/YuQYJN23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3030-3039 |
| URL: | https://doi.org/10.1145/3583780.3614925 |
| DOI: | https://doi.org/10.1145/3583780.3614925 |
| DBLP: | conf/cikm/YuQYJN23 |
| BibTeX: |
@inproceedings{yu-2023-ihas,
author = {Yakun Yu and
Shiang Qi and
Jiuding Yang and
Liyao Jiang and
Di Niu},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {3030--3039},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614925},
doi = {https://doi.org/10.1145/3583780.3614925}
}