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# Bug Report
## Description
The following model is a `ConstantOfShape` op with a **constant input [-10]**.
Of course, ONNX does not allow ConstantOfShape input to be negative ([https://onnx.ai/o…
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We should document the models and releases that match each preprint or paper we post.
The page should describe how to run inference, and where appropriate, how to train the model.
Creating a "Model…
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### Search before asking
- [X] I had searched in the [issues](https://github.com/ray-project/kuberay/issues) and found no similar feature requirement.
/cc Bytedancer @Basasuya @Yicheng-Lu-llll
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## Issue
The task is to formulate non-SFT attacks in order to test the robustness of a defence solution.
The attack will need to run with an arbitrary domain like medical advice.
Types of Attac…
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related to #943
943 and related discussion is on how to handle outliers. AFAICS, the main approach for outlier detection and handling for ARMA and similar models are based intervention models, and …
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Hi. I have a question about inference.
As I understand, teacher model is more robust than student model by EMA update and it is used for supervision(pseudo label).
Then why do you use student model …
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The current layout of training and inference scripts contain lengthy functions which covers the whole process in one step, this is not friendly to write unit tests to boost the robustness. Thus refact…
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issue specifically about degrees of freedom and `use_t`
more general issue #1099
cluster and panel robust standard errors
"Which ones are we talking about?"
Cameron, A. Colin, and Douglas L. Miller.…
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The dependency inference rules need refactoring since there is duplication currently between the rule applied to `go_package` targets and the rule applied to `_go_ext_mod_package` targets (because `_g…
tdyas updated
2 years ago
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see also #3270
Dropping outliers or hard rejection weights is one of the easiest way to get high efficiency after using a high breakdown estimator in an initial stage. We can do the reweighting for…