Closed tdiethe closed 4 years ago
Hi, thanks for your contribution :) The md file is generated automatically from the bibtex file by running (python 3.6) in the main directory:
python scripts/bibtex_to_md.py
Therefore you should modify only the bibtexfile and generate md file with the script and not manually (I will make the process clear in the main readme). If you wish to add the paper to a specific category, you should add some keywords in the bib entry. You should probably also add the url manually in the bib entry. I hope I explained it clearly, I will make a readme file in the script repo to explain :) Chears Timothée
I have put the process here: https://github.com/optimass/continual_learning_papers/blob/master/scripts/README.md
Ah sorry will fix
I got the error "Entry type software not standard. Not considered." for one of the entries already there - did you do anything special to run the script?
On Sun, 3 May 2020 at 11:23, TLESORT notifications@github.com wrote:
Hi, thanks for your contribution :) The md file is generated automatically from the bibtex file by running in the main directory:
python scripts/bibtex_to_md.py
Therefore you should modify only the bibtexfile and generate md file with the script and not manually (I will make the process clear in the main readme). If you wish to add the paper to a specific category, you should add some keywords in the bib entry. You should probably also add the url manually in the bib entry. I hope I explained it clearly, I will make a readme file in the script repo to explain :) Chears Timothée
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Ok should all be fixed now. I note that the entry on line 1237: https://github.com/tdiethe/continual_learning_papers/blob/96431313853b600ad6115dfe0620969f0d642b9e/bibtex.bib#L1237 still doesn't appear - not sure if this is due to the parser dropping unknown bib types or because it's not categorized?
Thanks a lot for fixing Ruvolo13 and Lesort19Data Entries! I had previously the message "Entry type software not standard. Not considered." but I thought it was not breaking anything :)
Both Amazon papers from the NeurIPS 2018 Continual Learning workshop