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Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

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Dear @JunlinHan I hope you are doing well. You have mentioned ImageNet classification result (linear protocol, 1% label and 10% label). I have found the `main_lincls.py` for linear protocol experiment...

Dear @JunlinHan, Did you run all experiments multiple times than average and put them into the table? Like training resnet18 fives times and then averaging the accuracy and putting it...

Dear @JunlinHan Thank you for your work. I am working on your paper and reproducing the results given in the paper. I have trained a model based on your configuration...