Connectionists: [CfP] 2nd Conference on Lifelong Learning Agents (CoLLAs 2023)

Vincenzo Lomonaco vinxlemons at gmail.com
Thu Jan 19 09:07:05 EST 2023 

Dear all,

We are pleased to announce the *2nd edition* of the *International Conference
on Lifelong Learning Agents* (*CoLLAs)* <https://lifelong-ml.cc/>, which
will take place in Montreal, Canada in August 2023!

More information about the *Call for Paper* can be found below. We are
looking forward to receiving your manuscript and meeting you in Montreal!

CoLLAs official website: https://lifelong-ml.cc/

--------------------

Call for Papers (Conference track)

Machine learning has relied heavily on a traditional view of the learning
process, whereby observations are assumed to be i.i.d., typically given as
a dataset split into a training and validation set with the explicit focus
to maximize performance on the latter. While this view proved to be
immensely beneficial for the field, it represents just a fraction of the
realistic scenarios of interest. Over the past few decades, increased
attention has been given to alternative paradigms that help explore
different aspects of the learning process, from lifelong learning,
continual learning, and meta-learning to transfer learning, multi-task
learning and out-of-distribution generalization to name just a few.

The Conference on Lifelong Learning Agents (CoLLAs) focuses on these
learning paradigms that aim to move beyond the traditional,
single-distribution machine learning setting and to allow learning to be
more robust, more efficient in terms of compute and data, more versatile in
terms of being able to handle multiple problems and be well-defined and
well-behaved in more realistic non-stationary settings compared to the
traditional view.

We invite submissions to the 2nd edition of CoLLAs that describe
applications, new theories, methodology or new insights into existing
algorithms and/or benchmarks. Accepted papers will be published in the
Proceedings of Machine Learning Research (PMLR). Topics of submission may
include, but are not limited to, Reinforcement Learning, Supervised
Learning or Unsupervised Learning approaches for:

   - Lifelong Learning / Continual Learning
   - Meta-Learning
   - Multi-Task Learning
   - Transfer Learning
   - Curriculum Learning
   - Domain Adaptation
   - Few-Shot Learning
   - Out-Of-Distribution Generalization
   - Online Learning
   - Active Learning

The conference also welcomes submissions at the intersection of machine
learning and neuroscience and applications of the topics of interest to
real-world problems. Submitted papers will be evaluated based on their
novelty, technical quality, and potential impact. Experimental methods and
results are expected to be reproducible, and authors are strongly
encouraged to make code and data available. We also encourage submissions
of proof-of-concept research that puts forward novel ideas and demonstrates
potential, as well as in-depth analysis of existing methods and concepts.
Key Dates

The planned dates are as follows:


   - Abstract deadline:        March 03, 2023, 11:59 pm (Anywhere on Earth,
   AoE)
   - Submission deadline:        March 06, 2023, 11:59 pm (AoE)
   - Reviews released:        April 10, 2023
   - Author rebuttal due:        April 18, 2023
   - Notification of decision:    May 10, 2023
   - Resubmission Deadline:    June 10, 2023
   - Decision of resubmissions:    July 01, 2023
   - Main Conference:        August 2023

Review Process

Papers will be selected via double-blind peer-review process. All accepted
papers will be presented at the Conference as contributed talks or as
posters and will be published in the Proceedings (PMLR). Additionally there
is a non-archival workshop track, which will also go through the review
process.

The reviews process will be hosted on OpenReview
<https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2023/Conference> with
submissions and reviews being private until a decision is made. Reviews and
discussions of the accepted papers will be made available after acceptance.
In addition to accept/reject, a paper can be marked for conditional
acceptance. In this case, the authors have a fixed amount of time to
incorporate a clear list of demands from the Program Chairs, and if these
updates are present the paper will automatically get accepted. Rejected
papers that initially received a conditional acceptance (where authors
decided not to add the required modifications) can be presented in the
workshop track if the authors chose to. The authors will still be able to
present a poster on their work as part of this track. This system is aimed
to produce a fairer treatment of borderline papers and to save the time
spent in going through the entire reviewing process from scratch when
resubmitting to a future edition of the conference or a different relevant
conference.

During the rebuttal period, authors are allowed to update their papers
once. All updates should be clearly marked using the macros provided in the
latex style files. However, reviewers are not required to read the new
version.

Physical and Virtual Attendance

Collas 2023 will be mainly an in-person event,  in Montreal Canada. We
believe that in-person interactions are important to grow the community.
However, we recognize that participating in person might not be possible
for everyone for various reasons, including health concerns around COVID.
Therefore participants will have the option to participate virtually at the
conference and present virtually their work by providing a prerecorded
video. However this will not be a fully hybrid event, and not all elements
will be available to virtual participants. More information about the
organization soon.
Formatting and Supplementary Material

Submissions should have a recommended length of 9 single-column
CoLLAs-formatted pages, plus unlimited pages for references and appendices.
We enforce a maximum length of 10 pages, where the 10th page can be used if
it helps with the formatting of the paper. The camera ready version will
have a strict 10 page limit. So please do not use the entire 10th page
during the initial submission. The appendices should be within the same pdf
file as the main publication, however, an additional zip file can be
submitted that can include multiple files of different formats (e.g. videos
or code). Note that reviewers are under no obligation to examine the
appendix and the supplementary material.

Please format the paper using the official LaTeX style files that can be
found on overleaf here <https://www.overleaf.com/read/bjccsphsgsbs> or on
GitHub here <https://github.com/collas-conf/collas_2023_latex_template>. We
do not support submissions in formats other than LaTeX. Please do not
modify the layout given by the style file. For any questions, you can reach
us at: con... at lifelong-ml.cc <https://groups.google.com/>.

Submissions will be through OpenReview
<https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2023/Conference>.
Abstract and Title

Authors should include a full title for their paper, as well as a complete
abstract by the abstract submission deadline. Submission titles should not
be modified after the abstract submission deadline, and abstracts should
not be modified by more than 50% after the abstract submission deadline.
Submissions violating these rules may be deleted after the paper submission
deadline without review. The author list can be updated until the paper
submission deadline. Only the ordering of the authors can be changed when
submitting the camera-ready version of the paper.
Anonymization Requirements

All submissions must be anonymized and may not contain any information with
the intention or consequence of violating the double-blind reviewing
policy, including (but not limited to) citing previous works of the authors
or sharing links in a way that can infer any author’s identity or
institution, actions that reveal the identities of the authors to potential
reviewers.

Authors are allowed to post versions of their work on preprint servers such
as Arxiv. They are also allowed to give talks to restricted audiences on
the work(s) submitted to CoLLAs during the review. If you have posted or
plan to post a non-anonymized version of your paper online before the
CoLLAs decisions are made, the submitted version must not refer to the
non-anonymized version.

CoLLAs strongly discourages advertising the preprint on social media or in
the press while under submission to CoLLAs. Under no circumstances should
your work be explicitly identified as CoLLAs submission at any time during
the review period, i.e. from the time you submit the abstract to the
communication of the accept/reject decisions.
Dual Submissions

It is not appropriate to submit papers that are identical (or substantially
similar) to versions that have been previously published, accepted for
publication, or submitted in parallel to other conferences or journals.
Such submissions violate our dual submission policy, and the organizers
have the right to reject such submissions or to remove them from the
proceedings.
Code of Conduct and Ethics

All participants in CoLLAs, including authors, will be required to adhere
to CoLLAs code of conduct & ethics. Plagiarism in any form is strictly
forbidden as it is an unethical use of privileged information by reviewers,
such as sharing it or using it for any other purpose than the reviewing
process. All suspected unethical behaviours will be investigated and
individuals found violating the rules may face sanctions. Further details
about CoLLAs code of conduct, ethics and reproducibility can be found on
the website.

-----------
*Vincenzo Lomonaco*, University of Pisa, Italy
on behalf of the *2023 CoLLAs Organizing Committee
<https://lifelong-ml.cc/Conferences/2023/organizing_committee>*.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20230119/c02ebb75/attachment.html>

More information about the Connectionists mailing list