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Dear authors:
In the paper (Table 7), you mentioned the robust accuracy on cifar10 for the standard training model is 4.49% (l2_bound = 0.25). Do you still use the same setting as you claimed in…
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I used the code to train CIFAR10 dataset. As mentioned in the paper DDPM, my batchsize is 128, the optimizer is Adam, the learning rate is 0.0002, and I used l2 loss. I found that the training loss ke…
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Hey! The work is amazing, but what's the bbox object in cifar 10? How should I define them like VGG face?
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I trained a model on cifar10 with below settings.
`MODEL_FLAGS="--image_size 32 --num_channels 128 --num_res_blocks 3 --learn_sigma True --dropout 0.1"
DIFFUSION_FLAGS="--diffusion_steps 4000 --nois…
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I receive the following TypeError when I try to import CIFAR10 data via the pylearn2 API:
> Traceback (most recent call last):
> File "my_binary_net.py", line 27, in
> train_set = CIFA…
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When I run main_superpixels_contrastive.py
I got
f = pickle.load(f)
ModuleNotFoundError: No module named 'data.superpixels'
I don't know why "f = pickle.load(f)" can cause this problem?
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Hello,
I really appreciate your work!
When I tried to perform the adversarial training on the CIFAR10 dataset by modifying the code of tutorial_train_mnist.py. I changed the get_mnist_train_loader…
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Hi, thank you for your implementation!
I use the CIFAR10 dataset for quick training and evaluation on the 8-bit setting, but I only got not more than 80%@Top1 accuracies with/without activation qu…
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I was trying to replicate the results in the paper on CIFAR10, but I'm having a problem deploying the trained model. While training, I can get up to 70% training accuracy. However, during retrieval, t…
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您好，当我在用论文提供的网络结构以及初始学习率训练cifar10的时候，发现无法训练，Loss爆炸了直接nan。您的VGG7参考网络结构为“2×(128-C3) + MP2 +2×(256-C3) + MP2 + 2×(512-C3) + MP2 + 1024-FC + Softmax。想请教您两个问题：
1.在1024-FC层之前，特征图的大小为batch * 512 * 4 * 4，请问这个…