Comments (2)
gmh14
commented on June 12, 2024
Hi! Sorry for the late reply. Since we use a private distributed training framework for RobNets, it costs some time to convert them to Pytorch official distributed training and align the results. For now, the training scripts for CIFAR10 have been pushed. We are working on ImageNet, but mostly the code is based on https://github.com/ashafahi/free_adv_train. We will further release the model checkpoint on the clean dataset since it is important to the adversarial training on ImageNet. Thanks for your patience and consideration!
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HLinChen
commented on June 12, 2024
Thanks for your reply! I will try it.
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Related Issues (19)
- Can this code be used to reproduce the MobileNetV2 numbers in the paper? HOT 1
- How to do one-shot nas?
- How to do archchtecture search on supernet? HOT 4
- How to train supernet? HOT 1
- why not use the torchvision dataset for SVHN? HOT 1
- How to extract top architecture from supernet?Is it achievable?
- Obtain the different architectures mentioned in the paper
- Information on Sampled Networks?
- The natural accuracies of ResNet18 and ResNet50 in CIFAR10
- The natural accuracies of ResNet18 and ResNet50 in CIFAR10
- about the checkpionts ?
- How to calculate the number of MAC, the number of layers and the model size of the network? HOT 1
- Have the ckpts been fine-tuned w.r.t. the hard-coded architecture? HOT 5
- SVHN HOT 2
- SVHN Checkpoint Result HOT 2
- Where can I find the checkpoint file to use searched RobNet models? HOT 2
- How big is the difference in training time and memory consumption between using and not using adversarial training in the search network process？ HOT 3
- Tiny ImageNet Training Configuration HOT 4
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