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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -9,7 +9,7 @@ For HT 2024 we will continue with the format where we stick to papers on the sam
* We meet Wednesdays 10:15-12:00 on odd weeks.
* We will meet in Thomas Bayes, B-building ([map](https://www.ida.liu.se/department/location/search.en.shtml?keyword=thomas+bayes)).

## Host intstructions
## Host instructions
* Choose one paper for each session related to your topic that you think would be interesting to discuss in the reading group. In order to set a focus for the reading group we came up with the following short guidelines for how to choose papers:
* The main topic of the paper should be core machine learning research. Try to avoid papers that just apply well known machine learning methods to specific application areas.
* Make sure the paper is of high quality. Read through it yourself and try to gauge its quality. As a guideline, think that it should be publishable at a top machine learning conference (i.e. the paper should be of such quality, it does not have to actually be a short conference paper).
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