Domain-Agnostic Contrastive Representations for Learning from Label Proportions.
Jay Nandy|Rishi Saket|Prateek Jain|Jatin Chauhan|Balaraman Ravindran|Aravindan Raghuveer
| Anthology ID: | DBLP:conf/cikm/NandySJCRR22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1542-1551 |
| URL: | https://doi.org/10.1145/3511808.3557293 |
| DOI: | https://doi.org/10.1145/3511808.3557293 |
| DBLP: | conf/cikm/NandySJCRR22 |
| BibTeX: |
@inproceedings{nandy-2022-domainagnostic,
author = {Jay Nandy and
Rishi Saket and
Prateek Jain and
Jatin Chauhan and
Balaraman Ravindran and
Aravindan Raghuveer},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Domain-Agnostic Contrastive Representations for Learning from Label Proportions}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {1542--1551},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557293},
doi = {https://doi.org/10.1145/3511808.3557293}
}