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Learning with noisy labels
Learning with noisy labels means When we say "noisy labels," we mean that an adversary has intentionally messed up the labels, which would have come from a "clean" distribution otherwise. This setting can also be used to cast learning from only positive and unlabeled data.
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20개CIFAR-10N-AggregateCIFAR-10N-WorstCIFAR-100NCIFAR-10N-Random1CIFAR-10N-Random2CIFAR-10N-Random3ANIMALClothing1MRed MiniImageNet 20% label noiseRed MiniImageNet 40% label noiseRed MiniImageNet 80% label noiseFood-101Red MiniImageNet 60% label noiseCIFAR-10CIFAR-100CIFAR-10NCOCO-WANChaoyangClothing1M (using clean data)mini WebVision 1.0