62000dee5a05a6a71de3a6127a68778a-AuthorFeedback.pdf

We appreciate the reviewers' time and suggestions! We address them all and report new experimental results below. Although DIH can be helpful to identify noisy data in noisy-label setting (ref.Middle plot in Figure 1), DIHCL still achieves 90.34% test-set accuracy under 40% symmetric label noise on CIFAR10 (ref.Top plot in Figure 1). The statement may be revised that "updating in-6 Is the method specific to cyclic learning rate... DI-23 HCL is applicable to other learning rate schedules. We report the result of DIHCL with a piecewise exponential decay learning rate in Figure 1.