Impact of Noisy Labels in Learning Techniques: A Survey

Author:

Nigam Nitika,Dutta Tanima,Gupta Hari Prabhat

Publisher

Springer Singapore

Reference45 articles.

1. Angluin, D., & Laird, P. (1988). Learning from noisy examples. Machine Learning, 2(4), 343–370.

2. Azadi, S., Feng, J., Jegelka, S., & Darrell, T. (2015). Auxiliary image regularization for deep cnns with noisy labels. arXiv:151107069 .

3. Biggio, B., Nelson, B., Laskov, P. (2011). Support vector machines under adversarial label noise. In Asian Conference on Machine Learning (pp. 97–112).

4. Bootkrajang, J., Kabán, A. (2013). Boosting in the presence of label noise. arXiv:13096818 .

5. Bouveyron, C., & Girard, S. (2009). Robust supervised classification with mixture models: Learning from data with uncertain labels. Pattern Recognition, 42(11), 2649–2658.

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