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Hi, thank you for your great work on TSA.
I have a question I would like to ask, when I run the Varying-Way Five-Shot and Five-Way One-Shot scenarios with the URL parameter file you provided, the acc…
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Thanks for your codes. However, I have a question about setting hyper-parameters.
When using CIFAR10, the DQ paper has the following description:
>
 drops to 16% after 10 tasks when the No exemplars approach is used, which is different fromthe 30.2% accuracy reported in your…
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Thank you for sharing the code from your article here, I really appreciate it!
I have been trying to replicate the results reported in your article, but to no avail: E.g. for automobiles, the AUC s…
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Hello,
Have you trained MixNet models for Cifar-10 from scratch (not transfer learning from ImageNet models)?
With default configuration, I obtain about 70% accuracy for MixNet small, and the ac…
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Hey, I am trying to reproduce resnet20 fixup results given in "fixup-vs-batchnorm-lab-clean-eps-converted-to.pdf". But, after 200 epochs I am getting only ~35% accuracy on CIFAR-10. I ran the model wi…
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Hi,
I've been executing your code using the hyper parameters detailed in _main_reproduce_paper.py_ for the VGG19 and ResNet50 models on CIFAR-10 in order to reproduce the results detailed in your p…
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Hi,
I have run the code for the CIFAR-10 dataset, but the results I am getting with 1 and 0.5 similarities are not as expected. Can you please tell me, why FedAvg is taking less time to converge as c…
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Hi
I find your work interesting but I want to run on CIFAR-10. It seems that your repo is not implemented for CIFAR-10. Can you extend your implementation for CIFAR-10 dataset?
Thanks
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UserWarning: Using a target size (torch.Size([1])) that is different to the input size (torch.Size([16])) is deprecated. Please ensure they have the same size.
"Please ensure they have the same siz…