Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies.
Changchun Li|Ximing Li|Jihong Ouyang
| Anthology ID: | DBLP:conf/cikm/LiLO20 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 725-734 |
| URL: | https://doi.org/10.1145/3340531.3411885 |
| DOI: | https://doi.org/10.1145/3340531.3411885 |
| DBLP: | conf/cikm/LiLO20 |
| BibTeX: |
@inproceedings{li-2020-learning,
author = {Changchun Li and
Ximing Li and
Jihong Ouyang},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {725--734},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3411885},
doi = {https://doi.org/10.1145/3340531.3411885}
}