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Hi Jin,
thanks for the refreshing work. I have a question regarding the split of target domain into training set and test set in the S→U and E→H evaluation.
As UCF101 and HMDB51 both have 3 split…
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many materials science ML models are written with Pytorch instead of Tensorflow.
If not, what can we do?
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Sorry to bother you again!!!
I do some ablation experiments for this paper. But I found some strange results.
Firstly, I run your original code for GTA5->Cityscapes. I got the following result:
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I am working on a task to classify a sentence into multiple topics (Multi-label classification).
Initially, I trained the entire 1.5M unlabeled data on bert base model using domain adaptation.
Then…
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amusi updated
4 weeks ago
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I have a relatively large bulk RNA seq dataset (~ 1300 samples, from ~70 experiments) that I'd like to correct for significant batch effects. Is it valid/possible to apply BERMUDA to my dataset? Inste…
mdanb updated
3 years ago
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Hey everyone, I've been using RoBERTa for the past year or so but have been looking into DeBERTa as well. My typical workflow with RoBERTa is to fine-tune the MLM using ~3mil medical reports to domai…
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I've been using MMT for some time, very successfully, but without adaptation, and I can't work out how to implement it.
The situation is as follows: I have several related but separate tmx files - e.…
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Hi, I've build the docker image and run container.
If I setup environment variable `APP_URL` to my service url, the method `/authorize` always return the error:
```log
{
"message": "Bad Reques…
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Why f1 score falls to zero when I'm training the model. Do you have some idea?