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E. Fonseca, M. Plakal, D. P. Ellis, F. Font, X. Favory, X. Serra, Learning Sound Event Classifiers from Web Audio with Noisy Labels, in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 2019-May, 2019, pp. 21–25 · 2019
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2020
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S. Zheng, P. Wu, A. Goswami, M. Goswami, D. Metaxas, C. Chen, Error-bounded correction of noisy labels, in: International Conference on Machine Learning, 2020
2020
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K. Sharma, P. Donmez, E. Luo, Y. Liu, I. Z. Yalniz, Noiserank: Unsupervised label noise reduction with dependence models, 2020
2020
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J. Li, R. Socher, S. C. Hoi, Dividemix: Learning with noisy labels as semi-supervised learning, in: International Conference on Learning Representations, 2020
2020
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G. Algan, I. Ulusoy, Meta soft label generation for noisy labels, in: International Conferance on Pattern Recognition, ICPR, 2020
2020
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Y. Kong, Dominantly truthful multi-task peer prediction with a constant number of tasks, in: Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SIAM, 2020, pp. 2398–2411
2020
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J. Whitehill, T.-f. Wu, J. Bergsma, J. R. Movellan, P. L. Ruvolo, Whose vote should count more: Optimal integration of labels from labelers of unknown expertise, in: Advances in neural information processing systems, 2009, pp. 2035–2043
2043
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L. Jiang, D. Meng, S.-I. Yu, Z. Lan, S. Shan, A. Hauptmann, Self-paced learning with diversity, in: Advances in Neural Information Processing Systems, 2014, pp. 2078–2086
2086
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