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} }