A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise

Datasets with noisy labels are a common occurrence in practical applications of classification methods. We propose a simple probabilistic method for training deep classifiers under input-dependent (heteroscedastic) label noise... (read more)

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