Is your noise correction noisy? PLS: Robustness to label noise with two stage detection

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PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction | CVPR 2022 PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction | CVPR 2022
Adaptive Sample Selection for Robust Learning under Label Noise Adaptive Sample Selection for Robust Learning under Label Noise
[CVPR [CVPR'22] FedCorr: Multi-Stage Federated Learning for Label Noise Correction
Towards a Robust Differentiable Architecture Search under Label Noise Towards a Robust Differentiable Architecture Search under Label Noise
Active Deep Learning to Tune Down the Noise in Labels Active Deep Learning to Tune Down the Noise in Labels
[2021 CVPR] Joint Negative and Positive Learning for Noisy Labels [2021 CVPR] Joint Negative and Positive Learning for Noisy Labels
What to do when annotators fail? Neural network training with noisy labels (Part II) What to do when annotators fail? Neural network training with noisy labels (Part II)
Training Deep Neural-Networks using a Noise Adaptation layer Training Deep Neural-Networks using a Noise Adaptation layer