<div dir="ltr"><div class="gmail_default" style="font-family:georgia,serif;font-size:small"><div class="gmail_default"><span style="letter-spacing:0.2px;white-space:pre-wrap"><font face="georgia, serif" color="#000000"><b>When:     </b>Monday, February 6th<b> </b><b>at <span style="background-color:rgb(255,255,0)">11:30 AM CT</span></b></font></span></div><div class="gmail_default"><b style="letter-spacing:0.2px;white-space:pre-wrap"><font face="georgia, serif" color="#000000"><br></font></b></div><div class="gmail_default"><font face="georgia, serif" color="#000000"><b style="letter-spacing:0.2px;white-space:pre-wrap">Where:    </b>Talk will be given<span style="background-color:rgb(255,255,0)"> </span><span style="background-color:rgb(255,255,0)"><font style="font-weight:bold"><u>live, in-person</u></font><font style="font-weight:bold"> </font></span>at</font></div><p class="MsoNormal" style="margin:0in;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font color="#000000" face="georgia, serif">                     TTIC, 6045 S. Kenwood Avenue</font></p><p class="MsoNormal" style="margin:0in;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font color="#000000" face="georgia, serif">                     5th Floor, Room 530<b>  </b></font></p><p class="MsoNormal" style="margin:0in;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b style="letter-spacing:0.2px;white-space:pre-wrap"><font color="#000000"><br></font></b></p><p class="MsoNormal" style="margin:0in;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font color="#000000"><b style="letter-spacing:0.2px;white-space:pre-wrap">Virtually: </b><span style="letter-spacing:0.2px;white-space:pre-wrap">via Panopto (</span><a href="https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=7e78d4df-336b-4b23-83f0-af8e01158847" target="_blank" style="letter-spacing:0.2px;white-space:pre-wrap">Livestream</a><span style="letter-spacing:0.2px;white-space:pre-wrap">)</span><br></font></p><div class="gmail_default"><b style="letter-spacing:0.2px;white-space:pre-wrap"><font face="georgia, serif" color="#000000"><br></font></b></div><div class="gmail_default"><font color="#000000"><span style="letter-spacing:0.2px;white-space:pre-wrap"><font face="georgia, serif"><b>Who:         </b></font></span>Elijah Cole, California Institute of Technology</font></div><div class="gmail_default"><b style="letter-spacing:0.2px;white-space:pre-wrap"><font face="georgia, serif" color="#000000"><br></font></b></div><div class="gmail_default"><font color="#000000"><font face="georgia, serif"><b style="letter-spacing:0.2px;white-space:pre-wrap">Title:          </b></font>Learning from Real-World Data<font face="georgia, serif"><br style="letter-spacing:0.2px;white-space:pre-wrap"><b><br style="letter-spacing:0.2px;white-space:pre-wrap"></b></font><b>Abstract:   </b>Humans are collecting vast amounts of data to tackle societal challenges like preserving biodiversity, improving healthcare outcomes, and accelerating scientific discovery. However, in many domains we are collecting far too much data to analyze manually. To meet these challenges, we need machine learning algorithms to automatically extract knowledge from this growing influx of raw data. Unfortunately, most machine learning algorithms are not compatible with the limited, noisy, and weak supervision often found in real-world settings.<br></font></div><font color="#000000"><br>This talk focuses on the task of learning from real-world data. I will present progress on the problem of learning from minimal labels in contexts like multi-label image classification and self-supervised representation learning. Second, I will also describe how we can leverage small amounts of domain context to improve machine learning algorithms in a modular and flexible way, with examples from image classification and object localization. Finally, I will show how studying real-world data leads to new machine learning research questions and greater opportunities for impact in important application domains.</font><div><font face="georgia, serif" color="#000000"><br></font></div><div><div class="gmail_default"><font color="#000000"><font face="georgia, serif"><b>Bio:   </b></font>Elijah Cole (<a href="https://elijahcole.me/">https://elijahcole.me/</a>) is a Ph.D. candidate in the Computing and Mathematical Sciences department at Caltech, advised by Pietro Perona. He received a B.S.E. from Duke University in 2017 with a double major in electrical engineering and mathematics. During his Ph.D. he completed internships at Google Research, Microsoft AI for Earth, and the Air Force Research Laboratory. His research focuses on deep learning and computer vision, with an emphasis on learning from limited, noisy, and weak supervision. He works with ecologists, physicians, and other domain experts to align mainstream machine learning research with progress on important real-world problems. Elijah’s work is funded by an NSF Graduate Research Fellowship and the Resnick Sustainability Institute.</font></div></div><div class="gmail_default"><font color="#000000"><br></font></div><div><div class="gmail_default"><font face="georgia, serif" color="#000000"><b>Host: <a href="mailto:greg@ttic.edu">Greg Shakhnarovich </a></b></font></div></div></div><div><br></div><div><br></div><div><br></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><b style="background-color:rgb(255,255,255)"><font color="#3d85c6">Brandie Jones <span class="gmail_default" style="font-family:georgia,serif;font-size:small"></span></font></b><div><div><div><font color="#3d85c6"><b><i>Executive </i></b></font><b style="color:rgb(61,133,198)"><i>Administrative Assistant</i></b></div></div><div><span style="background-color:rgb(255,255,255)"><font color="#3d85c6">Toyota Technological Institute</font></span></div><div><span style="background-color:rgb(255,255,255)"><font color="#3d85c6">6045 S. Kenwood Avenue</font></span></div><div><span style="background-color:rgb(255,255,255)"><font color="#3d85c6">Chicago, IL  60637</font></span></div></div><div><span style="background-color:rgb(255,255,255)"><font color="#3d85c6"><a href="http://www.ttic.edu" target="_blank">www.ttic.edu</a> </font></span></div><div><font color="#3d85c6"><div style="background-color:rgb(238,238,238)"><div style="color:rgb(32,33,36)"><span style="color:rgb(61,133,198)">Working Remotely on Tuesdays</span><font face="georgia, serif"><br></font></div><div style="color:rgb(32,33,36)"><font color="#3d85c6">Out of Office: Feb 9th - Feb 16th. Remote: Feb 17th - March 3rd.</font></div></div></font></div></div></div></div>