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

Linzhu Yu, Dawei Jiang, Ke Chen 0005, Lidan Shou. Arm: Efficient Learning of Neural Retrieval Models with Desired Accuracy by Automatic Knowledge Amalgamation. In Enrique Amigó, Pablo Castells, Julio Gonzalo, Ben Carterette, J. Shane Culpepper, Gabriella Kazai, editors, SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022. pages 3345-3349, ACM, 2022. [doi]

@inproceedings{YuJ0S22,
  title = {Arm: Efficient Learning of Neural Retrieval Models with Desired Accuracy by Automatic Knowledge Amalgamation},
  author = {Linzhu Yu and Dawei Jiang and Ke Chen 0005 and Lidan Shou},
  year = {2022},
  doi = {10.1145/3477495.3531664},
  url = {https://doi.org/10.1145/3477495.3531664},
  researchr = {https://researchr.org/publication/YuJ0S22},
  cites = {0},
  citedby = {0},
  pages = {3345-3349},
  booktitle = {SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022},
  editor = {Enrique Amigó and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai},
  publisher = {ACM},
  isbn = {978-1-4503-8732-3},
}