Distillation vs. Sampling for Efficient Training of Learning to Rank Models.
Pooya Khandel|Andrew Yates|Ana Lucia Varbanescu|Maarten de Rijke|Andy D. Pimentel
| Anthology ID: | DBLP:conf/ictir/KhandelYVRP24 |
|---|---|
| Volume: | Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2024, Washington, DC, USA, 13 July 2024 |
| Year: | 2024 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 51-60 |
| URL: | https://doi.org/10.1145/3664190.3672527 |
| DOI: | https://doi.org/10.1145/3664190.3672527 |
| DBLP: | conf/ictir/KhandelYVRP24 |
| BibTeX: |
@inproceedings{khandel-2024-distillation,
author = {Pooya Khandel and
Andrew Yates and
Ana Lucia Varbanescu and
Maarten de Rijke and
Andy D. Pimentel},
editor = {Harrie Oosterhuis and
Hannah Bast and
Chenyan Xiong},
title = {{Distillation vs. Sampling for Efficient Training of Learning to Rank Models}},
booktitle = {{Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2024, Washington, DC, USA, 13 July 2024}},
pages = {51--60},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3664190.3672527},
doi = {https://doi.org/10.1145/3664190.3672527}
}