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For questions about the rectified linear unit (ReLU) or rectifiers, which is a widely used activation function in neural networks.

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Are PreLU and Leaky ReLU better than ReLU in the case of noisy labels?

The provably more-reliable approach to learning with noisy labels/label errors (instead of altering the model architecture or loss function) is to find the label errors and train without them on clean …
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