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MIMO Detection under Hardware Impairments: Learning with Noisy Labels
By using the outputs of coarse data detection as noisy training data, the model-driven method avoids the need for additional training overhead beyond traditional pilot overhead for channel estimation.
Rectified Gradient: Layer-wise Thresholding for Sharp and Coherent Attribution Maps
In this paper, we identify the cause of noisy saliency maps.
Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative
SmoothGrad and VarGrad are techniques that enhance the empirical quality of standard saliency maps by adding noise to input.
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