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Submission Preparation Checklist

As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.
  • The submission has not been previously published, nor is it under review at another journal or conference (in uncertain cases an explanation can be provided in Comments to the Editor).
  • Where available, URLs or DOIs for the references have been provided.
  • The document does not exceed 6 pages (2 pages for abstracts).
  • You agree to the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
  • All authors of the paper are registered in the submission metadata portal.

Author Guidelines

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.

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. Only the full papers will be included in proceedings. Accepted abstracts will be published on the NLDL website.

A ZIP archive with a LaTeX template for conference can be downloaded here.

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.

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