Vote Aggregation

  1. label smoothing: [1] interpolating ground-truth label and uniform label

  2. bootstrapping: [2] interpolate noisy label and label from previous iteration

  3. noisy data+clean data: [3] interpolate noisy label and distilled label

[1] Szegedy, Christian, et al. “Rethinking the inception architecture for computer vision.” CVPR, 2016.

[2] Reed, Scott, et al. “Training deep neural networks on noisy labels with bootstrapping.” arXiv preprint arXiv:1412.6596 (2014).

[3] Li, Yuncheng, et al. “Learning from noisy labels with distillation.” ICCV, 2017.