Connectionists: CFP: The AAAI-2022 workshop on "Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR)"

[Kordjamshidi, Parisa]

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CALL FOR PAPERS
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The Workshop on "Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR)" @AAAI-2022, February 22-March 1, 2022, Vancouver, BC, Canada.

https://clear-workshop.github.io<https://clear-workshop.github.io/>

Submission Deadline: November 12th, 2021.

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AIM AND SCOPE
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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.

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TOPICS OF INTEREST
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The main research questions and topics of interest include, but are not limited to:
- Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms
- Integration of probabilistic inference in training deep models
- Integration of neuro and symbolic approaches
- Integration of logical inference in training deep models
- Integration of Deep Learning and Relational Learning
- Integration of Deep learning and Constraint programming
- Declarative languages and diffrentiable programming,
- Integration of declarative and procedural domain knowledge in learning,
- Integration of non-differentiable optimization models in learning.

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INVITED SPEAKERS
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Bryan Wilder , Carnegie Mellon University
Sriraam Natarajan, University of Texas at Dallas
Kevin  Ellis, Cornell University

More speakers TBD

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IMPORTANT DATES
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Submission Deadline November 12, 2021
Notification December 4, 2021
Camera Ready December 15, 2021
Workshop Day February 28-March 1, 2022

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SUBMISSION AND SELECTION PROCESS
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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 [https://aaai.org/Conferences/AAAI-22/submission-guidelines/]. 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 [https://openreview.net/group?id=AAAI.org/2022/Workshop/CLeaR].

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STUDENT SUPPORT
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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.

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ORGANIZING COMMITTEE
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Parisa Kordjamshidi, Michigan State University, kordjams at msu.edu<mailto:kordjams at msu.edu>;
Behrouz Babaki, Mila/HEC Montreal, behrouz.babaki at mila.quebec<mailto:behrouz.babaki at mila.quebec>;
Sebastijan Dumančić, Delft University of Technology, S.Dumancic at tudelft.nl<mailto:S.Dumancic at tudelft.nl>;
Alex Ratner, University of Washington, ajratner at cs.washington.edu<mailto:ajratner at cs.washington.edu>;
Hossein Rajaby Faghihi, Michigan State University, rajabyfa at msu.edu<mailto:rajabyfa at msu.edu>;
Hamid Karimian, Michigan State University, karimian at msu.edu<mailto:karimian at msu.edu>.

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ADVISING COMMITTEE
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Dan Roth, University of Pennsylvania,  danroth at seas.upenn.edu<mailto:danroth at seas.upenn.edu>;
Guy Van Den Broeck, University of California Los Angeles, guyvdb at cs.ucla.edu<mailto:guyvdb at cs.ucla.edu>.


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CONTACT
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 clear-workshop at googlegroups.com<mailto:clear-workshop at googlegroups.com>


Best regards,
Parisa

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Kordjamshidi, Parisa
Assistant Professor
Computer Science and Engineering
Michigan State University
http://www.cse.msu.edu/~kordjams/
Heterogeneous Learning & Reasoning Lab: https://hlr.github.io/


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