"Self-training with Noisy Student improves ImageNet classification" pytorch implementation
Noisy Student Training is a semi-supervised training method which achieves 88.4% top-1 accuracy on ImageNet and surprising gains on robustness and adversarial benchmarks. Noisy Student Training is based on the self-training framework and trained with 4-simple steps: