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<div class="">CALL FOR PAPERS</div>
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<div class="">The Workshop on "Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR)" @AAAI-2022, February 22-March 1, 2022, Vancouver, BC, Canada. </div>
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<div class=""><a href="https://clear-workshop.github.io/" class="">https://clear-workshop.github.io</a></div>
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<div class="">Submission Deadline: November 12th, 2021.</div>
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<div class="">AIM AND SCOPE</div>
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<div class="">Description: This workshop brings together researchers from divers backgrounds with different perspectives to discuss languages, formalisms and representations that are appropriate for combining learning and reasoning. The workshop aims at bridging
formalisms for learning and reasoning such as neural and symbolic approaches, probabilistic programming, differentiable programming, Statistical Relation Learning and using non-differentiable optimization in deep models. It highlights the importance of declarative
languages that enable such integration for covering multiple formalisms at a high-level and points to the need for building a new generation of ML tools to help domain experts in designing complex models where they can declare their knowledge about the domain
and use data-driven learning models based on various underlying formalisms. This workshop wants to emphasize on the importance of integrative paradigms for solving the new wave of AI applications. </div>
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<div class="">TOPICS OF INTEREST</div>
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<div class="">The main research questions and topics of interest include, but are not limited to:</div>
<div class="">- Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms</div>
<div class="">- Integration of probabilistic inference in training deep models</div>
<div class="">- Integration of neuro and symbolic approaches</div>
<div class="">- Integration of logical inference in training deep models</div>
<div class="">- Integration of Deep Learning and Relational Learning</div>
<div class="">- Integration of Deep learning and Constraint programming</div>
<div class="">- Declarative languages and diffrentiable programming, </div>
<div class="">- Integration of declarative and procedural domain knowledge in learning, </div>
<div class="">- Integration of non-differentiable optimization models in learning.</div>
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<div class="">INVITED SPEAKERS</div>
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<div class="">Bryan Wilder , Carnegie Mellon University</div>
<div class="">Sriraam Natarajan, University of Texas at Dallas</div>
<div class="">Kevin Ellis, Cornell University</div>
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<div class="">More speakers TBD</div>
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<div class="">IMPORTANT DATES</div>
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<div class="">Submission Deadline<span class="Apple-tab-span" style="white-space:pre">
</span>November 12, 2021</div>
<div class="">Notification<span class="Apple-tab-span" style="white-space:pre"> </span>
December 4, 2021</div>
<div class="">Camera Ready<span class="Apple-tab-span" style="white-space:pre"> </span>
December 15, 2021</div>
<div class="">Workshop Day<span class="Apple-tab-span" style="white-space:pre"> </span>
February 28-March 1, 2022</div>
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<div class="">SUBMISSION AND SELECTION PROCESS</div>
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<div class="">We allow both short (2-4 pages) and long papers (6-8 pages) papers. We might accept extended abstracts of recently published work too. Please follow the same guidelines of AAAI 2022 submission format for this workshop [<a href="https://aaai.org/Conferences/AAAI-22/submission-guidelines/" class="">https://aaai.org/Conferences/AAAI-22/submission-guidelines/</a>].
This can be found at AAAI 2022 submission guidelines. We encourage authors to use the Latex template of AAAI 2022 for a cleaner and better format f or submission. The submissions are accepted through OpenReview platform and the reviews of the papers will be
available publicly through the same platform. To submit your paper, please follow OpenReview Submission Link [<a href="https://openreview.net/group?id=AAAI.org/2022/Workshop/CLeaR" class="">https://openreview.net/group?id=AAAI.org/2022/Workshop/CLeaR</a>].</div>
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<div class="">STUDENT SUPPORT</div>
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<div class="">Thanks to our sponsor, CLeaR workshop provides financial aid to student authors/presenters if they need, in particular to support underrepresented minorities and developing countries. See the website for more information.</div>
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<div class="">ORGANIZING COMMITTEE</div>
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<div class="">Parisa Kordjamshidi, Michigan State University, <a href="mailto:kordjams@msu.edu" class="">
kordjams@msu.edu</a>;</div>
<div class="">Behrouz Babaki, Mila/HEC Montreal, <a href="mailto:behrouz.babaki@mila.quebec" class="">
behrouz.babaki@mila.quebec</a>;</div>
<div class="">Sebastijan Dumančić, Delft University of Technology, <a href="mailto:S.Dumancic@tudelft.nl" class="">
S.Dumancic@tudelft.nl</a>;</div>
<div class="">Alex Ratner, University of Washington, <a href="mailto:ajratner@cs.washington.edu" class="">
ajratner@cs.washington.edu</a>;</div>
<div class="">Hossein Rajaby Faghihi, Michigan State University, <a href="mailto:rajabyfa@msu.edu" class="">
rajabyfa@msu.edu</a>;</div>
<div class="">Hamid Karimian, Michigan State University, <a href="mailto:karimian@msu.edu" class="">
karimian@msu.edu</a>. </div>
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<div class="">ADVISING COMMITTEE</div>
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<div class="">Dan Roth, University of Pennsylvania, <a href="mailto:danroth@seas.upenn.edu" class="">danroth@seas.upenn.edu</a>; </div>
<div class="">Guy Van Den Broeck, University of California Los Angeles, <a href="mailto:guyvdb@cs.ucla.edu" class="">
guyvdb@cs.ucla.edu</a>.</div>
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<div class="">CONTACT</div>
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<div class=""> <a href="mailto:clear-workshop@googlegroups.com" class="">clear-workshop@googlegroups.com</a> </div>
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<div class="">Best regards,</div>
<div class="">Parisa </div>
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Kordjamshidi, Parisa<br class="">
Assistant Professor <br class="">
Computer Science and Engineering<br class="">
Michigan State University<br class="">
<a href="http://www.cse.msu.edu/~kordjams/" class="">http://www.cse.msu.edu/~kordjams/</a><br class="">
Heterogeneous Learning & Reasoning Lab: <a href="https://hlr.github.io/" class="">
https://hlr.github.io/</a></div>
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