Inproceedings,
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling.
S. Hofstätter, S. Lin, J. Yang, J. Lin, and A. Hanbury.SIGIR, page 113-122. ACM, (2021)
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- BibTeX key
- conf/sigir/HofstatterLYLH21
- entry type
- inproceedings
- booktitle
- SIGIR
- year
- 2021
- pages
- 113-122
- publisher
- ACM
- crossref
- conf/sigir/2021
- ee
- https://doi.org/10.1145/3404835.3462891
- isbn
- 978-1-4503-8037-9
- url
- http://dblp.uni-trier.de/db/conf/sigir/sigir2021.html#HofstatterLYLH21
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- please select -%0 Conference Paper
%1 conf/sigir/HofstatterLYLH21
%A Hofstätter, Sebastian
%A Lin, Sheng-Chieh
%A Yang, Jheng-Hong
%A Lin, Jimmy
%A Hanbury, Allan
%B SIGIR
%D 2021
%E Diaz, Fernando
%E Shah, Chirag
%E Suel, Torsten
%E Castells, Pablo
%E Jones, Rosie
%E Sakai, Tetsuya
%I ACM
%K dblp
%P 113-122
%T Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling.
%U http://dblp.uni-trier.de/db/conf/sigir/sigir2021.html#HofstatterLYLH21
%@ 978-1-4503-8037-9
@inproceedings{conf/sigir/HofstatterLYLH21,
added-at = {2021-07-15T00:00:00.000+0200},
author = {Hofstätter, Sebastian and Lin, Sheng-Chieh and Yang, Jheng-Hong and Lin, Jimmy and Hanbury, Allan},
biburl = {https://www.bibsonomy.org/bibtex/2bc515c434a726452d69295ff2d7662b2/dblp},
booktitle = {SIGIR},
crossref = {conf/sigir/2021},
editor = {Diaz, Fernando and Shah, Chirag and Suel, Torsten and Castells, Pablo and Jones, Rosie and Sakai, Tetsuya},
ee = {https://doi.org/10.1145/3404835.3462891},
interhash = {20591c6730b9efa40e45eedbce786e95},
intrahash = {bc515c434a726452d69295ff2d7662b2},
isbn = {978-1-4503-8037-9},
keywords = {dblp},
pages = {113-122},
publisher = {ACM},
timestamp = {2024-04-09T23:04:21.000+0200},
title = {Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling.},
url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2021.html#HofstatterLYLH21},
year = 2021
}