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}
}