<html><head><meta http-equiv="Content-Type" content="text/html; charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div class=""><span class="" style="orphans: 2; widows: 2; font-size: large;">UNIVERSITY OF CHICAGO</span></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div class=""><span class=""><font size="4" class="">DEPARTMENT OF COMPUTER SCIENCE</font></span></div><div class="" style="orphans: 2; widows: 2;"><font size="4" class="">SEMINAR:</font></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p class="MsoNormal"><br class=""></p><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><img apple-inline="yes" id="E47A6F87-AACB-4DED-9B21-01E5DE4132D8" src="cid:7631CA7D-3A63-4E78-9B7D-325D676811F3" class=""><br class=""><div class="" style="orphans: 2; widows: 2;"><font size="4" class=""><b class="">Mengye Ren</b></font></div><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div dir="auto" class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><div class="" style="orphans: 2; widows: 2;"><div class="" style="margin: 0in 0in 0.0001pt;"><font size="4" class=""><i class="">University of Toronto</i></font></div><div class="" style="margin: 0in 0in 0.0001pt;"><span class="" style="font-size: 14px;"><i class=""><p class="MsoNormal" align="center"><o:p class=""></o:p></p></i></span><div class=""><br class=""></div></div><div class="" style="margin: 0in 0in 0.0001pt;"><span class=""><span class=""><font class=""><font size="4" class=""><b class="">Thursday, March 18th at 1:00 pm</b></font></font></span></span></div><div class="" style="margin: 0in 0in 0.0001pt;"><span class=""><br class=""></span></div><div class="" style="margin: 0in 0in 0.0001pt;"><span class=""><span class="" style="font-size: 15px;">Join via zoom (enables questions):</span></span></div><div class="" style="margin: 0in 0in 0.0001pt;"><span class=""><span class="" style="font-size: 15px;"><a href="https://uchicago.zoom.us/j/93088354740?pwd=N2FGMExnaHNYaGp5a1gyNHhoN0xRZz09" class="">https://uchicago.zoom.us/j/93088354740?pwd=N2FGMExnaHNYaGp5a1gyNHhoN0xRZz09</a></span></span></div><div class="" style="margin: 0in 0in 0.0001pt;"><span class=""><span class="" style="font-size: 15px;">Meeting ID: 930 8835 4740<br class="">Passcode: uccs2021</span></span></div><div class="" style="margin: 0in 0in 0.0001pt;"><span class=""><span class="" style="font-size: 15px;"> </span></span></div><div class="" style="margin: 0in 0in 0.0001pt;"><span class=""><span class="" style="font-size: 15px;">Or</span></span></div><div class="" style="margin: 0in 0in 0.0001pt;"><span class=""><span class="" style="font-size: 15px;"><br class="">Watch via live stream:<br class=""></span></span></div><div class="" style="margin: 0in 0in 0.0001pt;"><span style="font-size: 15px;" class=""> <a href="http://live.cs.uchicago.edu/mengyeren/" class="">http://live.cs.uchicago.edu/mengyeren/</a></span></div><div class="" style="margin: 0in 0in 0.0001pt;"><span style="font-size: 15px;" class=""><br class=""></span></div></div><div class=""><div class=""><span class="" style="font-size: 15px;"><span class=""><span class=""><font class=""><font class=""><span class=""><b class="" style="color: rgb(33, 33, 33);">Title: </b></span></font></font></span></span>Steps towards making machine learning more natural</span></div><div class=""><font color="#212121" class=""><span class="" style="font-size: 15px;"><b class=""><br class=""></b></span></font></div><div class=""><span style="font-size: 15px;" class=""><span class=""><span class=""><span class=""><span class="" style="color: rgb(33, 33, 33);"><span class=""><b class="">Abstract: </b></span></span></span></span></span><font color="#212121" class=""><span style="caret-color: rgb(33, 33, 33);" class="">Over the past decades, we have seen machine learning making great strides in AI applications. Yet, most of its success relies on training models offline on a massive amount of data and evaluating them in a similar test environment. By contrast, humans can learn new concepts and skills with very few examples, and can easily generalize to novel tasks. In this talk, I will highlight three key steps towards making machines learning more human-like, and these steps will unlock the next generation of technologies. The first step is to make machines learn new concepts continually and incrementally using limited labeled data. The second step is to develop flexible representations that can generalize well to novel concepts under different contexts. Finally, I'll show how to make abstract and compositional reasoning given visual inputs. I'll then conclude with an outlook of future directions towards building a more general and flexible AI.</span></font></span></div><div class=""><font color="#212121" class=""><span style="caret-color: rgb(33, 33, 33); font-size: 15px;" class=""><br class=""></span></font></div></div><div class=""><div class=""><font class=""><span class="" style="font-size: 15px;"><div class="" style="font-variant-ligatures: normal; background-color: rgb(255, 255, 255);"><div class=""><font class=""><b class="" style="color: rgb(33, 33, 33);">Bio: </b></font>Mengye Ren is a PhD student in the machine learning group of the Department of Computer Science at the University of Toronto. He was also a research scientist at Uber ATG working on self-driving cars from 2017 to 2021. His research focuses on making machines learn in more naturalistic environments with less labeled data. He has won a number of awards including two NVIDIA research pioneer awards and the Alexander Graham Bell Canada Graduate Fellowship.</div><div class=""><br class=""></div></div></span></font></div><div class=""><div class="" style="font-variant-ligatures: normal; background-color: rgb(255, 255, 255);"><font color="#222222" class=""><i class=""><b class=""><font class="" style="font-size: 15px;">Host: Sanjay Krishnan</font></b></i></font></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></body></html>