Question about results

[MrChenFeng]

Thanks for your great work!
I wonder do you report the best ACC rather than the final ACC in training in Tables 1-4?

[weijiaheng]

Hi Chen,

That's a great question! For the final reporting of Acc in all Tables:

1. All experiments on UCI datasets & Synthetic binary data: (Table 1, 2, 9, 10, 11)
   We report the accuracy of the test data in the final epoch during training;

2. Synthetic noisy CIFAR datasets: (Table 3, 4)
   Since our primary purpose is to compare the potential/optimal performance of NLS/LS. To avoid reporting/comparing the optimal local performance, in an understanding view, we report the best-achieved test accuracy for Tables 3 & 4.

3. Comparing with existing methods: (Table 5, 6)
   When comparing with existing methods on synthetic noisy CIFAR datasets (Table 5), Real-world noisy datasets (Table 6), we report the final accuracy of the test data after the training. Specifically, for positive label smoothing, we adopt a smooth rate 0.6; for negative label smoothing, we chose the smooth rate -6.0.