D&C-Net detects noisy labels with a Gaussian mixture over per-sample losses and selectively corrects them using an estimated transition matrix.
Co-teaching: Ro- bust training of deep neural networks with ex- tremely noisy labels
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Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels
D&C-Net detects noisy labels with a Gaussian mixture over per-sample losses and selectively corrects them using an estimated transition matrix.