Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations.
Haojie Zhuang|Wei Emma Zhang|Jian Yang|Weitong Chen|Quan Z. Sheng
| Anthology ID: | DBLP:conf/cikm/ZhuangZ00S24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3591-3601 |
| URL: | https://doi.org/10.1145/3627673.3679745 |
| DOI: | https://doi.org/10.1145/3627673.3679745 |
| DBLP: | conf/cikm/ZhuangZ00S24 |
| BibTeX: |
@inproceedings{zhuang-2024-negatives,
author = {Haojie Zhuang and
Wei Emma Zhang and
Jian Yang and
Weitong Chen and
Quan Z. Sheng},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3591--3601},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679745},
doi = {https://doi.org/10.1145/3627673.3679745}
}