[robotics-worldwide] [meetings] IJCAI-2016 Workshop on Deep Learning for Artificial Intelligence -- Second Call for Papers

Wagner, Alan Alan.Wagner at gtri.gatech.edu
Sat Apr 9 07:56:41 PDT 2016

-Apologies for multiple postings--


Call for Papers: IJCAI-2016 Workshop on Deep Learning for Artificial Intelligence

July 10, 2016 in New York City, NY, USA

Workshop website: https://urldefense.proofpoint.com/v2/url?u=http-3A__home.earthlink.net_-7Edwaha_research_meetings_ijcai16-2Ddlai-2Dws_&d=CwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=oEu0da1BTjBMyzN6EDSg3k9Wu6GedBdZyPnydv7TkaM&s=8zCwS-0uBC9EH42oDnIbPGa1kDYmsdg3g2EVPWNDCbQ&e= 

Paper Submissions Due: April 18, 2016


Deep Learning (DL) techniques have ignited a firestorm of attention from academia and industry due to their success on many benchmarks and applications, such as those pertaining to image recognition, automated caption generation, speech recognition, natural language processing, and game AI. To date, most DL efforts have focused on analysis tasks (e.g., classification, regression), and have not involved the use of symbolic representations and inference methods commonly used in AI. For example, few DL efforts have focused on synthesis tasks (e.g., planning, scheduling, and design), involved the use of logical or graphical models, or made other tight connections with AI. Much could be gained by investigating how best to integrate AI and DL techniques; this would interest researchers studying a variety of topics.

The Deep Learning for AI (DLAI) workshop will provide a forum for describing and learning about promising methods that use DL techniques in AI processes, highlighting initial contributions/benefits, and encouraging further work, thereby fostering connections among two somewhat disparate groups of researchers. We intend it to interest AI researchers who investigate the use of DL techniques in their studies and DL researchers who seek to understand/explore the roles that DL techniques can perform in, for example, systems that can reason with interpreted sensor data.

This workshop will include three primary components. The first is invited talks by senior researchers who have investigated DLAI, can provide visions for what these types of integrations can accomplish, and can identify important open research issues. Second, we will host presentations of accepted papers (please see paper submissions<https://urldefense.proofpoint.com/v2/url?u=http-3A__home.earthlink.net_-257Edwaha_research_meetings_ijcai16-2Ddlai-2Dws_-23submissions&d=CwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=oEu0da1BTjBMyzN6EDSg3k9Wu6GedBdZyPnydv7TkaM&s=rsBgduAGfeYesOzqDDm1nEN6jKMa_CYrZdEToz1sK2Q&e= > for details). Finally, we will include a panel of active DLAI researchers who will be asked to discuss key issues that require attention, and speakers from industry (or government) who have interest in solving problems using DLAI techniques. We are soliciting regular papers (6 pages text + up to 1 page references) in IJCAI style.

The topics of interest include, but are not limited to the following:
*Robotics (e.g., control of autonomous vehicles)
*Caption generation
*Cognitive architectures
*Commonsense reasoning
*Episodic reasoning
*Intelligent agents (e.g., planning and acting, goal reasoning)
*Machine learning (e.g., deep, reinforcement, statistical relational, transfer)
*Model-based reasoning
*Narrative intelligence
*Temporal reasoning
*Visual reasoning
*Human-robot Interaction
*Ambient intelligence
*Autonomic computing
*Biomedical systems
*Computer games,
*Image processing (e.g., security/surveillance tasks),
*Information retrieval and reuse
*Intelligent tutoring systems
*Language translation
*Plan replay
*Reasoning from experiences mined from text, multimedia, or human interactions
*Recommender systems
*Text reuse
*User modeling

     18 April 2016: Paper submissions due
     6 May 2016: Reviewing responses to submissions
    20 May 2016: Camera-ready deadline
    10 July 2016: DLAI Workshop (full-day)

Paper Submissions
We welcome contributions that, for example, describe prior or ongoing work on DLAI, describe key issues that require further research, or highlight relevant challenges of interest to AI and DL researchers and practitioners, and plans for addressing them. In particular, we welcome four types of submissions:

  1.  Theoretical and/or empirical analyses
  2.  System demonstrations
  3.  Planned research or application
  4.  Position papers

Self-contained submissions must be no longer than seven pages (i.e., six pages for the main text of the paper, and one additional page for (only) references) in PDF format for letter-size (8.5 x 11) paper. Please use IJCAI-16's templates<https://urldefense.proofpoint.com/v2/url?u=http-3A__ijcai-2D16.org_downloads_FormattingGuidelinesIJCAI-2D16.zip&d=CwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=oEu0da1BTjBMyzN6EDSg3k9Wu6GedBdZyPnydv7TkaM&s=PtYS07EMmXrWtBRPWkEAPxcsZlcs5INTwZGCGfP_JrQ&e= >, and include author names, affiliations, and email addresses on the first page. Submissions will be made through EasyChair (https://urldefense.proofpoint.com/v2/url?u=https-3A__easychair.org_conferences_-3Fconf-3Ddlai2016&d=CwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=oEu0da1BTjBMyzN6EDSg3k9Wu6GedBdZyPnydv7TkaM&s=NmZFC9MwIwGxf6xEBvDavP9Z13gmyWoaLhZH3JXzS8E&e= )

Papers will be subject to peer review by the workshop program committee. Selection criteria include originality of ideas, correctness, clarity and significance of results, and quality of presentation.


- David Aha, Naval Research Laboratory

- Yiannis Aloimonos, University of Maryland, College Park

- Andrew S. Gordon, University of Southern California

- Alan R. Wagner, Georgia Institute of Technology

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