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UDA(https://github.com/google-research/uda) could achieve good accuracy by only 20 training data on text classification.

But I find it is hard to reproduce the result on my own dataset.

So I want to know the reason why UDA works. And I want to know what is the most important thing to reproduce the result.

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May be the video explanation (https://www.youtube.com/watch?v=-u8Mi57BDIY) is helping you.

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