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.
Trusted Loss Correction for Noisy Multi-Label Learning [link]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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