Dear All,
We invite submissions to the journal track of CoLLAs 2024. This allows the community to present their recently published top-tier journal papers on CoLLAs topics (see the main track for a list of topics) and increase their visibility.
Topics of submission may include, but are not limited to, Reinforcement Learning, Supervised Learning, Self-supervised Learning, or Unsupervised Learning approaches for:
Submissions to the journal track will go through a very light-weight review process mainly to make sure that the following conditions are met:
The paper has to be in the scope of CoLLAs (See the main track for a list of possible topics). The paper was published within the last 24 months in a top-tier journal in machine learning or a related field. The paper was published in the journal under an open-access license (i.e., readers don’t have to pay or register in any form to read the paper).
We consider journals such as JMLR, TMLR, and JAIR as top-tier and open-access journals, such that papers recently published in these journals directly qualify for this track. For other top-tier journals, such as, e.g., IEEE TPAMI, AIJ or MLJ, papers only qualify if the open-access option was purchased. We note that open access has to be established by the time of submission.
TMLR will provide a “CoLLAs certification” for TMLR papers that are accepted to be presented at the CoLLAs conference.
You can make your submissions here.
Authors of accepted papers have the chance to present their papers in a short video and in the poster presentation, exactly like authors of papers in the main track.
Submission | April 29, 2024 |
Notification | May 06, 2024 |
Submissions will be through OpenReview: https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2024/Journal_Track
Complete CFP can be found here: https://lifelong-ml.cc/Conferences/2024/journal
Regards,
Vincenzo Lomonaco, Stefano Melacci, Tinne Tuytelaars (CoLLAs 2024 Program Chairs)