Mixup-based Unified Framework to Overcome Gender Bias Resurgence.

Liu Yu|Yozen Liu|Shubham Vij|Yuzhou Mao|Liu Yu|Yozen Liu|Jin Wu|Shubham Vij|Yuzhou Mao|Danai Koutra|Fan Zhou|Danai Koutra|Fan Zhou


Anthology ID:DBLP:conf/sigir/YuMW023
Volume:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
Year:2023
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1755-1759
URL:https://doi.org/10.1145/3539618.3591938
DOI:https://doi.org/10.1145/3539618.3591938
DBLP:conf/sigir/YuMW023
BibTeX:
@inproceedings{yu-2023-mixupbased, author = {Liu Yu and Yozen Liu and Shubham Vij and Yuzhou Mao and Liu Yu and Yozen Liu and Jin Wu and Shubham Vij and Yuzhou Mao and Danai Koutra and Fan Zhou and Danai Koutra and Fan Zhou}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{Mixup-based Unified Framework to Overcome Gender Bias Resurgence}}, booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}}, pages = {1755--1759}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591938}, doi = {https://doi.org/10.1145/3539618.3591938} }