Call for Papers
Call for Papers
Deadline for submissions: 15th October
How to submit a contribution
We invite participants to submit in PDF format either
a 2-page extended abstract (non-archival) or
a 6-page full paper (included in proceedings)
in the area of Deep Learning. References can go beyond the page limit.
All submissions will undergo double-blind peer review. It will be up to the authors to ensure the proper anonymization of their paper. Do not include any names or affiliations. Refer to your own past work in the third-person, or if needed insert a blank reference. Accepted contributions will be accepted as contributing talks or poster presentations.
A ZIP archive with a LaTeX template can be downloaded here.
References need to include a DOI
When citing arXiv papers, the authors need to check if the paper has been published. If there is a published version of the paper, it should be cited instead of the arXiv version.
Follow the following links to submit your submission:
There will be a peer-review process for the NLDL submissions and the 6 page contributions are to be considered as 'full' publications. The proceedings will be published through Septentrio Academic Publishing. The proceedings have been accepted as a Level 1 publication in the Norwegian system.
Copyright for accepted papers
Authors of accepted extended abstracts (non-archival submissions) retain full copyright of their work, and acceptance of such a submission does not preclude publication of the same material in another journal or conference.
Papers aimed for proceedings should follow general dual submission policies and submissions that are identical or substantially similar to papers that are in submission to, have been accepted to, or have been published in other archival conferences, journals, workshops, etc. will be rejected. Authors should clearly state any overlapping published or submitted work at the time of submission. Authors should ensure that they are not violating any other venue dual submission policies. Papers in proceedings will be assigned the CCBY 4.0 license.
Questions & Problems
For questions about the submission process or problems with the submission side, please contact Sigurd Løkse: email@example.com.