Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval.

Jingtao Zhan|Jiaxin Mao|Yiqun Liu|Jiafeng Guo|Min Zhang|Shaoping Ma


Anthology ID:DBLP:conf/wsdm/ZhanM0GZM22
Volume:WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
Year:2022
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:1328-1336
URL:https://doi.org/10.1145/3488560.3498443
DOI:https://doi.org/10.1145/3488560.3498443
DBLP:conf/wsdm/ZhanM0GZM22
BibTeX:
@inproceedings{zhan-2022-learning, author = {Jingtao Zhan and Jiaxin Mao and Yiqun Liu and Jiafeng Guo and Min Zhang and Shaoping Ma}, editor = {K. Sel\c{c}uk Candan and Huan Liu and Leman Akoglu and Xin Dong and Jiliang Tang}, title = {{Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval}}, booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}}, pages = {1328--1336}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3488560.3498443}, doi = {https://doi.org/10.1145/3488560.3498443} }