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I can't reproduce the results provided in your paper, the results I produced by myself were much lower than the paper offered.
For example, the results in the miniImageNet 5-way 1-shot setting were …
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I've tried ctr prediction with LR in this repo.
I also refered to some paper seeing their AUROC results on 1458, 3358, 3427, 3476 can easily surpass 90 even 95, but I only reached 8X. I also haved t…
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MNIST Results:
We used a standard variational autoencoder. We trained with inlier digits 1 and 3. Each model was trained with batch size of 128, where each image is an unnormalized grayscale image of…
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### 🐛 Describe the bug
Hello esteemed pyg developers,
Trying to train the following simple model:
```
class LitSegger(L.LightningModule):
def __init__(self, model):
super().__i…
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hello,lishen.I have read carefully about your paper and source code.I have questions here.
1.There are so many models in your code.Such as dm_resnet_train.py dm_enet_train.py etc.And it seems tha…
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@gwaygenomics presented evidence that median absolute deviation ([MAD](https://en.wikipedia.org/wiki/Median_absolute_deviation)) feature selection (selecting genes with the highest MADs) can eliminate…
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Dear Mr.Danial,
Thanks for sharing your code. I'm wondering if it is possible to run the same experiments that were carried out by Mr. Chalapathy by using your code. Mainly I am interested in compar…
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Hello,
I am noticing that small anomalies are often imprecisely localized with square shapes, mainly using a patch size of 65.
![014](https://github.com/denguir/student-teacher-anomaly-detection/a…
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Hi!
Thanks for sharing your great work! I have some questions to ask you.Thank you very much!I used the chestx-ray14 dataset for training with a batch-size of 48 and an epoch of 20. At the same time,…
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## 🚀 Feature
Adding a simple keyword argument to control where McClish's standardization is applied over AUC or not. Alternatively, could return a pair of standardized and non-standardized AUCs whe…