Arm: Efficient Learning of Neural Retrieval Models with Desired Accuracy by Automatic Knowledge Amalgamation.

Linzhu Yu|Dawei Jiang|Ke Chen|Lidan Shou


Anthology ID:DBLP:conf/sigir/YuJ0S22
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:3345-3349
URL:https://doi.org/10.1145/3477495.3531664
DOI:https://doi.org/10.1145/3477495.3531664
DBLP:conf/sigir/YuJ0S22
BibTeX:
@inproceedings{yu-2022-arm, author = {Linzhu Yu and Dawei Jiang and Ke Chen and Lidan Shou}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Arm: Efficient Learning of Neural Retrieval Models with Desired Accuracy by Automatic Knowledge Amalgamation}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {3345--3349}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3531664}, doi = {https://doi.org/10.1145/3477495.3531664} }