Connectionists: CfP: 1st Workshop on Lifelong Learning Agents (CoLLAs - Workshop Track) 2022 - Deadline June 1st

Razvan Pascanu r.pascanu at gmail.com
Fri May 13 10:32:37 EDT 2022


Dear All,

Apologies for cross-posting.

We invite submissions to the Workshop track of CoLLAs that describe new
theory, methodology or new insights into existing algorithms and/or
benchmarks. This is a non-archival track of the conference.  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
   -

   Domain Adaptation
   -

   Few-Shot Learning
   -

   Out-Of-Distribution Generalization
   -

   Online 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.

The conference also welcomes submissions at the intersection of machine
learning and neuroscience and applications of the topics of interest to
real-world problems. This track is non-archival, and we accept submissions
of published work within the last year, or works that are currently under
review. As well as work in progress and preliminary results. The goal is to
disseminate information as fast as possible and to foster communication and
collaboration within the community.

Key Dates

The planned dates are as follows:

   -

   Submission deadline: June 1, 2022, 11:59 pm (AoE)
   -

   Notifications: June 10, 2022
   -

   Conference dates: August 14-17 2022 - virtual component, August 22-24,
   2022 - hybrid component of the event


Review Process

Papers will receive a light review, focused on correctness of the presented
material. Accepted work will be presented as posters during the workshop
track of the conference.

The reviews process will be hosted on OpenReview
<https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2022/Workshop> with
submissions and reviews being private until a decision is made.

Physical and Virtual Attendance

The CoLLAs organizing committee will prioritize the safety and health of
our community.

The event will have a purely virtual component between 14th and 17th 2022
and a hybrid component between 22 and 24th of August in Montreal, Canada.
Please see more information on the website <https://lifelong-ml.cc/>.

Formatting and Supplementary Material

Submissions should be in the form of an extended abstract of 4 pages using
the single-column CoLLAs format, plus unlimited pages for references and
appendices. The appendices should be within the same pdf file as the
extended abstract, 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.

For previously published works (within the last year), the original paper
can be submitted as is, specifying to which venue the work has been
accepted.

Please format the paper using the official LaTeX style files that can be
found on overleaf here <https://www.overleaf.com/read/grrjqdpztnpb> or on
github here <https://github.com/collas-conf/collas_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:
contact at lifelong-ml.cc.

Submissions will be through OpenReview
<https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2022/Workshop>.

Dual Submissions

For the workshop track it is ok to have a dual submission.

Code of Conduct and Ethics

All participants to 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 behaviors 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.

Complete CFP can be found here: https://lifelong-ml.cc/call_workshop



Regards,

Doina Precup, Sarath Chandar, Razvan Pascanu

CoLLAs 2022 General and Program Chairs

https://lifelong-ml.cc/
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