Learning to Augment Imbalanced Data for Re-ranking Models.

Zi-Hao Qiu|Ying-Chun Jian|Qing-Guo Chen|Lijun Zhang


Anthology ID:DBLP:conf/cikm/QiuJCZ21
Volume:CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Year:2021
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1478-1487
URL:https://doi.org/10.1145/3459637.3482364
DOI:https://doi.org/10.1145/3459637.3482364
DBLP:conf/cikm/QiuJCZ21
BibTeX:
@inproceedings{qiu-2021-learning, author = {Zi-Hao Qiu and Ying-Chun Jian and Qing-Guo Chen and Lijun Zhang}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{Learning to Augment Imbalanced Data for Re-ranking Models}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {1478--1487}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482364}, doi = {https://doi.org/10.1145/3459637.3482364} }