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I am working on a tricky classification problem that has unbalanced classes (10 to 1 ratio), with around 200,000 instances and approximately 10 features.
I managed to get reasonable performance using…
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I reproduce the work and discover that it does not work well on the CIFAR-100 when I choose the Resnet-34 as the backbone, results have been shown below
hyperparameter tau is 0.04, as same as CIFAR-1…
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Hello,
Could you please illustrate how to **partite the train set and the test set** from CV files (http://gerv.csail.mit.edu/deepligand_CVdata/) to get the **evaluation performance curve depicted …
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Hi,
according to the CheXpert leaderboard (https://stanfordmlgroup.github.io/competitions/chexpert/), you approach is the first when combined with Ensemble Models;
I am studying the interactions b…
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Same as inference-k-prompts but with credence scores also averaged over layers. (I.e. there is one credence score one gets from inference-k-prompts for each layer, and one averages those for some set …
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Hello together,
I have created a molecular dataset using:
```python
dataset_train.load_smiles(Strain,targets={"property":Ytrain_full})
```
Now, when I want to create an Engine from a defi…
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Hello,
Thanks for your work.
How can we train the baseline model such as OE (outlier exposure)
I cannot approach the similar baseline with the OE original code
Could you help
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Hi, thanks for your nice job.
I ran the training script provided in this repo, and did not change any code. However, there is a significant performance gap between the code and your paper (for exa…
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https://github.com/Jingkang50/OpenOOD/blob/main/openood/postprocessors/gram_postprocessor.py#L115
I wonder why the `dev` is used as `conf` directly? Isn't the larger the deviations the more likely th…
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Thank you for sharing your code. I have a question because there is a discrepancy between the results of Table 1 and Table 2 and results of mine.
Regarding the results for 3D and RGB, I am getting …