Trusted Loss Correction for Noisy Multi-Label Learning. Ghiassi, A., Pene, C. O., Birke, R., & Chen, L. Y. In Balasubramanian, V. N. & Tsang, I. W., editors, Asian Conference on Machine Learning, ACML 2022, 12-14 December 2022, Hyderabad, India, volume 189, of Proceedings of Machine Learning Research, pages 343–358, 2022. PMLR.
Paper bibtex @inproceedings{DBLP:conf/acml/GhiassiPBC22,
author = {Amirmasoud Ghiassi and
Cosmin Octavian Pene and
Robert Birke and
Lydia Y. Chen},
editor = {Vineeth N. Balasubramanian and
Ivor W. Tsang},
title = {Trusted Loss Correction for Noisy Multi-Label Learning},
booktitle = {Asian Conference on Machine Learning, {ACML} 2022, 12-14 December
2022, Hyderabad, India},
series = {Proceedings of Machine Learning Research},
volume = {189},
pages = {343--358},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v189/ghiassi23a.html},
timestamp = {Tue, 07 May 2024 20:11:56 +0200},
biburl = {https://dblp.org/rec/conf/acml/GhiassiPBC22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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