Command line:
```bash
jupyter nbconvert --to latex --TagRemovePreprocessor.remove_cell_tags='{"skip"}' --TagRemovePreprocessor.enabled=True 'nb.ipynb'
```
Also, to use it via python you need to enable the `TagRemoveProcessor` manually.
See: [source](https://stackoverflow.com/q/58564376/991496)
%A Author
%B Secondary Title (of a Book or Conference Name)
%C Place Published
%D Year
%E Editor /Secondary Author
%F Label
%G Language
%H Translated Author
%I Publisher
%J Journal Name
%K Keywords
%L Call Number
%M Accession Number
%N Number (Issue)
%O Alternate Title
%P Pages
%Q Translated Title
%R DOI
%S Tertiary Title
%T Title
%U URL
%V Volume
%W Database Provider
%X Abstract
%Y Tertiary Author / Translator
%Z Notes
%0 Reference Type
%1 Custom 1
%2 Custom 2
%3 Custom 3
%4 Custom 4
%6 Number of Volumes
%7 Edition
%8 Date
%9 Type of Work
%? Subsidiary Author
%@ ISBN/ISSN
%! Short Title
%# Custom 5
%$ Custom 6
%] Custom 7
%& Section
%( Original Publication
%) Reprint Edition
%* Reviewed Item
%+ Author Address
%^ Caption
%> File Attachments
%< Research Notes
%[ Access Date
%= Custom 8
%~ Name of Database
Tags - for some, one of the best ideas on the web, for others, merely a visual distraction. Yes, we’re talking about those loosely defined categories which are usually organized into cute little clouds. Looking for tag-related resources can be tough, so
D. Skoutas, and M. Alrifai. In Proc. of 20th ACM international conference on Information and knowledge management (CIKM '11), ACM, New York, NY, USA, 221-230., (2011)
M. Magableh, A. Cau, H. Zedan, and M. Ward. Proceedings of the IADIS International Conferences Collaborative Technologies 2010 and Web Based Communities 2010, page 178--182. (July 2010)
R. Abbasi, M. Grzegorzek, and S. Staab. Semantic Multimedia, volume 5887 of Lecture Notes in Computer Science, page 65--76. Springer Berlin / Heidelberg, (2009)