Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
Shitao Xiao|Zheng Liu|Weihao Han|Jianjin Zhang|Defu Lian|Yeyun Gong|Qi Chen|Fan Yang|Hao Sun|Yingxia Shao|Xing Xie
| Anthology ID: | DBLP:conf/sigir/XiaoLHZLGCYSSX22 |
|---|---|
| Volume: | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 |
| Year: | 2022 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1513-1523 |
| URL: | https://doi.org/10.1145/3477495.3531799 |
| DOI: | https://doi.org/10.1145/3477495.3531799 |
| DBLP: | conf/sigir/XiaoLHZLGCYSSX22 |
| BibTeX: |
@inproceedings{xiao-2022-distillvq,
author = {Shitao Xiao and
Zheng Liu and
Weihao Han and
Jianjin Zhang and
Defu Lian and
Yeyun Gong and
Qi Chen and
Fan Yang and
Hao Sun and
Yingxia Shao and
Xing Xie},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {1513--1523},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3531799},
doi = {https://doi.org/10.1145/3477495.3531799}
}