Rethink Deep Learning with Invariance in Data Representation.

Shuren Qi|Fei Wang|Tieyong Zeng|Fenglei Fan


Anthology ID:DBLP:conf/www/QiWZF25
Volume:Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:45-48
URL:https://doi.org/10.1145/3701716.3715861
DOI:https://doi.org/10.1145/3701716.3715861
DBLP:conf/www/QiWZF25
BibTeX:
@inproceedings{qi-2025-rethink, author = {Shuren Qi and Fei Wang and Tieyong Zeng and Fenglei Fan}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Rethink Deep Learning with Invariance in Data Representation}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {45--48}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3715861}, doi = {https://doi.org/10.1145/3701716.3715861} }