Comments (3)
szagoruyko
commented on July 20, 2024
I have updated the Imagenet code for pytorch 0.4 and rerunning the resnet-18 experiment to make sure it works.
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d-li14
commented on July 20, 2024
@apli What reproduction results did you get specifically? I ran the command following README.md but got only approximately 60% test_acc with resnet18 learning from resnet34.
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chituma110
commented on July 20, 2024
@apli @szagoruyko I ran the command in README.md， and I got 67% top-1 test_acc with AT from resnet34? Did you solve the problem?
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Related Issues (20)
- The file of the LightCNN-9 model released on Google Drive seems corrupt
- Question about KL_loss average
- How to visualize the attention maps? HOT 1
- invalid variables HOT 6
- Attention map HOT 1
- AT+KD Code HOT 1
- qusetion about cifar.py HOT 1
- how to install cvtransforms? HOT 5
- How to get the attention map with input model.parameters() or model.named_parameters() in pytorch
- Setting of β HOT 1
- Strategy of α and β decay during training
- Loss function problems
- Got error when use 2 gpus.
- how to resolve this error HOT 1
- Why not use bn for teacher net in imagenet.py HOT 2
- My Imagenet replication results are poor
- RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same HOT 1
- Hoping to see the implementation of AT+KD with decaying beta
- Table1: Experiments on CIFAR-10
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