Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization

Cam-Van Nguyen Thi, Ngoc-Hoa Nguyen Thi, Duc-Trong Le, Quang-Thuy Ha


Anthology ID:
2023.paclic-1.58
Volume:
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2023
Address:
Hong Kong, China
Editors:
Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Si Chen, Yu-Yin Hsu, Emmanuele Chersoni, Pranav A, Winnie Huiheng Zeng, Bo Peng, Yuxi Li, Junlin Li
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
582–590
Language:
URL:
https://aclanthology.org/2023.paclic-1.58
DOI:
Bibkey:
Cite (ACL):
Cam-Van Nguyen Thi, Ngoc-Hoa Nguyen Thi, Duc-Trong Le, and Quang-Thuy Ha. 2023. Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, pages 582–590, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization (Thi et al., PACLIC 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.paclic-1.58.pdf