Comments (1)
Hi, Sourav. Thanks for the interest in our work! Answers to the questions are as follow:
- As you can see "get_imbalanced" function in data_loader.py, which is mainly used in our code for constructing data loader,
we load datasets in the location of DATA_ROOT. It is currently set to "~/data" (see line18). It can be changed to any directory as you want
2 & 3. Our codes are based on pytorch and torchvision, including the part for the construction of datasets. So, please check the details about it on the corresponding page. (https://pytorch.org/docs/1.1.0/torchvision/datasets.html?highlight=cifar)
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Related Issues (11)
- could be used for detection task HOT 1
- Per-class probablibity being treated as per-sample probability.
- Request for license of M2m
- train M2m HOT 4
- Guidence is needed to reproduce the results ? ? HOT 1
- Loss function used to train baseline classifier g HOT 1
- Training for celebA dataset HOT 1
- Could you tell me how you use T-SNE? Thank you! HOT 2
- Could you provide the processed CelebA-5 dataset? HOT 2
- Parameter for cifar10/100-r10/100 HOT 1
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