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CMU-MultiComp-Lab · Aug 21, 2023 · 26327c3 · 26327c3
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+  <title>MML Tutorial</title>
+  <meta name="description" content="Tutorial on Multimodal Machine Learning - ICML 2023">
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+      <a class="page-link" href="https://cmu-multicomp-lab.github.io/mmml-tutorial/icml2023/">MML Tutorial</a>
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+
+      <div class="trigger">
+        <a class="page-link" href="/mmml-tutorial/icml2023/">ICML 2023</a>
+        <a class="page-link" href="/mmml-tutorial/cvpr2022/">CVPR 2022</a>
+        <a class="page-link" href="/mmml-tutorial/naacl2022/">NAACL 2022</a>
+        <a class="page-link" href="/mmml-tutorial/schedule/">schedule</a>
+        <a class="page-link" href="/mmml-tutorial/resources/">resources</a>
+      </div>
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+    <div class="page-content">
+      <div class="wrapper">
+        <div class="post">
+
+  <header class="post-header about">
+    <img class="logo" src="/mmml-tutorial/assets/img/cmu-logo.png">
+    <h1 class="post-title"><b>T</b>utorial on <b>M</b>ulti<b>M</b>odal <b>M</b>achine <b>L</b>earning</h1>
+    <h2 class="post-description clearfix">ICML 2023, Honolulu, Hawaii, USA</h2>
+  </header>
+
+  <article class="post-content <b>M</b>ultimodal <b>M</b>achine <b>L</b>earning clearfix">
+    <p>Multimodal machine learning is a vibrant multi-disciplinary research field that aims to design computer agents with
+      intelligent capabilities such as understanding, reasoning, and learning through integrating multiple communicative modalities,
+      including linguistic, acoustic, visual, tactile, and physiological messages. With the recent interest in video understanding,
+      embodied autonomous agents, text-to-image generation, and multisensor fusion in application domains such as healthcare and robotics,
+      multimodality has brought unique computational and theoretical challenges to the machine learning community given the heterogeneity
+      of data sources and the interconnections often found between modalities. However, the breadth of progress in multimodal research
+      has made it difficult to identify the common themes and open questions in the field. By synthesizing a broad range of application
+      domains and theoretical frameworks from both historical and recent perspectives, this tutorial is designed to provide an overview
+      of the computational and theoretical foundations of multimodal machine learning.</br>
+      </br>
+      Building upon a new edition of our survey paper on multimodal ML and academic courses at CMU, this tutorial will cover three topics:
+      (1) what is multimodal: the principles in learning from heterogeneous, connected, and interacting data, (2) why is it hard:
+      a taxonomy of six core technical challenges faced in multimodal ML but understudied in unimodal ML, and (3) what is next:
+      major directions for future research as identified by our taxonomy.
+    </p>
+<hr />
+
+<ul>
+  <li><strong>Time:</strong> Monday, 7/24/2022, 9:30am - 12:00pm HST. </li>
+  <li><strong>Location:</strong> ICML 2023, Honolulu, Hawaii, USA. Recorded videos will also be uploaded here soon.</li>
+  <li><strong>Contact:</strong> Presenters can be contacted at <a href="mailto:[email protected]" target="_blank">[email protected]</a> and <a href="mailto:[email protected]" target="_blank">[email protected]</a>. </li>
+</ul>
+
+<hr />
+
+  </article>
+
+  <!-- Staff  -->
+  <div class="instructors clearfix">
+
+  <div class="instructor-profile-two-col">
+
+    <a href="https://www.cs.cmu.edu/~pliang/" target="_blank"><img src="/mmml-tutorial/assets/img/paul.jpg" /></a>
+
+    <ul class="instructor-info">
+      <li><span>Presenter:</span> <a href="https://www.cs.cmu.edu/~pliang/" target="_blank">Paul Liang</a></li>
+      <li>Machine Learning Department, CMU</li>
+      <li><span>Email:</span> <a href="mailto:[email protected]" target="_blank">[email protected]</a></li>
+    </ul>
+  </div>
+
+  <div class="instructor-profile-two-col">
+    <a href="https://www.cs.cmu.edu/~morency/" target="_blank"><img src="/mmml-tutorial/assets/img/lp.jpg" /></a>
+    <ul class="instructor-info">
+      <li><span>Presenter:</span> <a href="https://www.cs.cmu.edu/~morency/" target="_blank">Louis-Philippe Morency</a></li>
+      <li>Language Technologies Institute, CMU</li>
+      <li><span>Email:</span> <a href="mailto:[email protected]" target="_blank">[email protected]</a></li>
+    </ul>
+  </div>
+
+</div>
+
+
+  <!-- Announcements  -->
+  <div class="news">
+  <h2>Announcements</h2>
+
+    <table>
+
+      <tr>
+        <td class="date">June 2023</td>
+        <td class="announcement">
+
+            Welcome to the Tutorial on Multimodal Machine Learning, ICML 2023!
+
+            Slides can be found here: <a href="https://drive.google.com/file/d/1qIYBuYrSW2-e95DL7LndfLFqGkIWFG21/view?usp=sharing" target="_blank">slides</a>
+        </td>
+      </tr>
+
+    </table>
+
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+
+
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+
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+    </div>
+
+    <footer class="site-footer">
+
+  <div class="wrapper">
+
+    <h2 class="footer-heading">Multimodal Machine Learning</h2>
+
+    <div class="footer-col-wrapper">
+      <div class="footer-col footer-col-1" style="width:200px;">
+        <ul class="contact-list">
+          <li class="p-name"> <a href="http://multicomp.cs.cmu.edu/" target="_blank">CMU MultiComp lab</a> </li></ul>
+      </div>
+
+      <div class="footer-col footer-col-2" style="width:200px;"><ul class="social-media-list"><li><a href="https://github.com/CMU-MultiComp-Lab" target="_blank"><i class="fab fa-github"></i> <span class="username">CMU-MultiComp-Lab</span></a></li><li><a href="https://www.youtube.com/channel/UCqlHIJTGYhiwQpNuPU5e2gg"  target="_blank"><i class="fab fa-youtube"></i> <span class="username">YouTube</span></a></li></ul>
+</div>
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