Update faq.md #203
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Update faq.md #203
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parmidaatg
requested changes
Apr 20, 2022
| ### Which query size to use? | ||
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| Of course the lower the better, but [Atighehchian et al.](https://arxiv.org/abs/2006.09916) shows that BALD works well with a query size under 1000. This was tested on an academic dataset where Random sampling is especially strong. In practice, BALD performs worse on low-diversity datasets and could wrongly behave on a lower query size. | ||
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lets add a section on what to do if the test and train distribution are different (actually this can be a tutorial) wdyt?
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I'm not sure I understand? What happens when the train and test distributions are different?
Co-authored-by: Parmida Atighehchian <parmidaatg@users.noreply.github.com>
Dref360
commented
Apr 26, 2022
parmidaatg
reviewed
Apr 26, 2022
Co-authored-by: Parmida Atighehchian <parmidaatg@users.noreply.github.com>
parmidaatg
approved these changes
May 2, 2022
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Summary:
First pass at trying to answer some common questions.
Let me know if this is useful and which questions should we add?
Features:
Checklist:
tests/documentation_test.py).