Early Exit Strategies for Approximate k-NN Search in Dense Retrieval.
Francesco Busolin|Claudio Lucchese|Franco Maria Nardini|Salvatore Orlando|Raffaele Perego|Salvatore Trani
| Anthology ID: | DBLP:conf/cikm/BusolinLN00T24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3647-3652 |
| URL: | https://doi.org/10.1145/3627673.3679903 |
| DOI: | https://doi.org/10.1145/3627673.3679903 |
| DBLP: | conf/cikm/BusolinLN00T24 |
| BibTeX: |
@inproceedings{busolin-2024-early,
author = {Francesco Busolin and
Claudio Lucchese and
Franco Maria Nardini and
Salvatore Orlando and
Raffaele Perego and
Salvatore Trani},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Early Exit Strategies for Approximate k-NN Search in Dense Retrieval}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3647--3652},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679903},
doi = {https://doi.org/10.1145/3627673.3679903}
}