<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=us-ascii">
<meta name="Generator" content="Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0in;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri","sans-serif";}
h3
{mso-style-priority:9;
mso-style-link:"Heading 3 Char";
mso-margin-top-alt:auto;
margin-right:0in;
mso-margin-bottom-alt:auto;
margin-left:0in;
font-size:13.5pt;
font-family:"Times New Roman","serif";
font-weight:bold;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:blue;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:purple;
text-decoration:underline;}
p.MsoPlainText, li.MsoPlainText, div.MsoPlainText
{mso-style-priority:99;
mso-style-link:"Plain Text Char";
margin:0in;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri","sans-serif";}
p
{mso-style-priority:99;
mso-margin-top-alt:auto;
margin-right:0in;
mso-margin-bottom-alt:auto;
margin-left:0in;
font-size:12.0pt;
font-family:"Times New Roman","serif";}
span.Heading3Char
{mso-style-name:"Heading 3 Char";
mso-style-priority:9;
mso-style-link:"Heading 3";
font-family:"Times New Roman","serif";
font-weight:bold;}
span.PlainTextChar
{mso-style-name:"Plain Text Char";
mso-style-priority:99;
mso-style-link:"Plain Text";
font-family:"Calibri","sans-serif";}
span.EmailStyle21
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:windowtext;}
span.EmailStyle22
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:#1F497D;}
span.EmailStyle23
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:#1F497D;}
span.EmailStyle24
{mso-style-type:personal-reply;
font-family:"Calibri","sans-serif";
color:#1F497D;}
.MsoChpDefault
{mso-style-type:export-only;
font-size:10.0pt;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
{page:WordSection1;}
/* List Definitions */
@list l0
{mso-list-id:130683429;
mso-list-template-ids:1866790758;}
@list l1
{mso-list-id:1234506279;
mso-list-template-ids:1260801056;}
@list l1:level1
{mso-level-tab-stop:.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l1:level2
{mso-level-tab-stop:1.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l1:level3
{mso-level-tab-stop:1.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l1:level4
{mso-level-tab-stop:2.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l1:level5
{mso-level-tab-stop:2.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l1:level6
{mso-level-tab-stop:3.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l1:level7
{mso-level-tab-stop:3.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l1:level8
{mso-level-tab-stop:4.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l1:level9
{mso-level-tab-stop:4.5in;
mso-level-number-position:left;
text-indent:-.25in;}
ol
{margin-bottom:0in;}
ul
{margin-bottom:0in;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang="EN-US" link="blue" vlink="purple">
<div class="WordSection1">
<p class="MsoPlainText">—Apologies for multiple postings--<o:p></o:p></p>
<p class="MsoPlainText"><o:p> </o:p></p>
<p class="MsoPlainText">=========================================================================<o:p></o:p></p>
<p class="MsoPlainText">Call for Papers<span style="color:#1F497D">: </span>IJCAI-2016 Workshop on
<span style="text-transform:uppercase">Deep Learning for Artificial Intelligence</span><o:p></o:p></p>
<p class="MsoPlainText">July 10, 2016 in New York City, NY, USA<o:p></o:p></p>
<p class="MsoPlainText"><o:p> </o:p></p>
<p class="MsoPlainText">Workshop website: <a href="http://home.earthlink.net/~dwaha/research/meetings/ijcai16-dlai-ws/">
http://home.earthlink.net/~dwaha/research/meetings/ijcai16-dlai-ws/</a><span style="color:#1F497D"><o:p></o:p></span></p>
<p class="MsoPlainText">Paper Submissions Due: April 18, 2016<o:p></o:p></p>
<p class="MsoPlainText">=========================================================================<span style="color:#1F497D"><o:p></o:p></span></p>
<p class="MsoPlainText"><o:p> </o:p></p>
<p class="MsoNormal"><span style="text-transform:uppercase">Description<o:p></o:p></span></p>
<p class="MsoNormal">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. <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif"">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.
<o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif""><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif"">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
<a href="http://home.earthlink.net/%7Edwaha/research/meetings/ijcai16-dlai-ws/#submissions">
paper submissions</a> 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.
<o:p></o:p></span></p>
<h3 style="margin:0in;margin-bottom:.0001pt"><a name="topics"></a><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";font-weight:normal"><o:p> </o:p></span></h3>
<p class="MsoPlainText">The topics of interest include, but are not limited to the following:<o:p></o:p></p>
<p class="MsoNormal">*Robotics (e.g., control of autonomous vehicles)<o:p></o:p></p>
<p class="MsoNormal">*Caption generation<o:p></o:p></p>
<p class="MsoNormal">*Cognitive architectures<o:p></o:p></p>
<p class="MsoNormal">*Commonsense reasoning<o:p></o:p></p>
<p class="MsoNormal">*Episodic reasoning<o:p></o:p></p>
<p class="MsoNormal">*Intelligent agents (e.g., planning and acting, goal reasoning)<o:p></o:p></p>
<p class="MsoNormal">*Machine learning (e.g., deep, reinforcement, statistical relational, transfer)<o:p></o:p></p>
<p class="MsoNormal">*Model-based reasoning <o:p></o:p></p>
<p class="MsoNormal">*Narrative intelligence <o:p></o:p></p>
<p class="MsoNormal">*Temporal reasoning<o:p></o:p></p>
<p class="MsoNormal">*Visual reasoning <o:p></o:p></p>
<p class="MsoNormal">Applications:<o:p></o:p></p>
<p class="MsoNormal">*Human-robot Interaction<o:p></o:p></p>
<p class="MsoNormal">*Ambient intelligence <o:p></o:p></p>
<p class="MsoNormal">*Autonomic computing <o:p></o:p></p>
<p class="MsoNormal">*Biomedical systems <o:p></o:p></p>
<p class="MsoNormal">*Computer games, <o:p></o:p></p>
<p class="MsoNormal">*Image processing (e.g., security/surveillance tasks), <o:p>
</o:p></p>
<p class="MsoNormal">*Information retrieval and reuse <o:p></o:p></p>
<p class="MsoNormal">*Intelligent tutoring systems <o:p></o:p></p>
<p class="MsoNormal">*Language translation<o:p></o:p></p>
<p class="MsoNormal">*Plan replay<o:p></o:p></p>
<p class="MsoNormal">*Question-Answering<o:p></o:p></p>
<p class="MsoNormal">*Reasoning from experiences mined from text, multimedia, or human interactions<o:p></o:p></p>
<p class="MsoNormal">*Recommender systems <o:p></o:p></p>
<p class="MsoNormal">*Text reuse<o:p></o:p></p>
<p class="MsoNormal">*User modeling <o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">IMPORTANT DATES<o:p></o:p></p>
<p class="MsoNormal"><a name="dates"> 18 April 2016: <b>Paper submissions due</b>
</a><o:p></o:p></p>
<p class="MsoNormal"> 6 May 2016: Reviewing responses to submissions <o:p></o:p></p>
<p class="MsoNormal"> 20 May 2016: Camera-ready deadline <o:p></o:p></p>
<p class="MsoNormal"> 10 July 2016: DLAI Workshop (full-day) <o:p></o:p></p>
<p class="MsoPlainText"><span style="color:#1F497D"><o:p> </o:p></span></p>
<h3 style="margin:0in;margin-bottom:.0001pt"><a name="submissions"></a><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";text-transform:uppercase;font-weight:normal">Paper Submissions<o:p></o:p></span></h3>
<p class="MsoNormal">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: <o:p></o:p></p>
<ol style="margin-top:0in" start="1" type="1">
<li class="MsoNormal" style="mso-list:l1 level1 lfo3">Theoretical and/or empirical analyses
<o:p></o:p></li><li class="MsoNormal" style="mso-list:l1 level1 lfo3">System demonstrations <o:p>
</o:p></li><li class="MsoNormal" style="mso-list:l1 level1 lfo3">Planned research or application
<o:p></o:p></li><li class="MsoNormal" style="mso-list:l1 level1 lfo3">Position papers <o:p></o:p></li></ol>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">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
<a href="http://ijcai-16.org/downloads/FormattingGuidelinesIJCAI-16.zip">IJCAI-16's templates</a>, and include author names, affiliations, and email addresses on the first page. Submissions will be made through EasyChair<span style="color:#1F497D"> (</span><a href="https://easychair.org/conferences/?conf=dlai2016" target="_blank">https://easychair.org/conferences/?conf=dlai2016</a><span style="color:#1F497D">)</span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif""><o:p> </o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif"">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. <o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif""><o:p> </o:p></span></p>
<p class="MsoPlainText">Organizers<o:p></o:p></p>
<p class="MsoPlainText">- David Aha, Naval Research Laboratory<o:p></o:p></p>
<p class="MsoPlainText">- Yiannis Aloimonos, University of Maryland, College Park<o:p></o:p></p>
<p class="MsoPlainText">- Andrew S. Gordon, University of Southern California<o:p></o:p></p>
<p class="MsoPlainText">- Alan R. Wagner, Georgia Institute of Technology<o:p></o:p></p>
<p class="MsoPlainText"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoPlainText"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
</div>
</body>
</html>