<div dir="ltr"><div class="gmail_default" style="font-size:12.8px"><font color="#000000" face="arial, helvetica, sans-serif">When:     Thursday, February 1st <span class="gmail-m_7960197898027616883gmail-m_8692226636264124041gmail-m_2794822896869921223gmail-m_7508998950622620526gmail-m_-7153355664495542534gmail-il">at</span> <b style="background-color:rgb(255,255,255)">11:00 am</b></font></div><div class="gmail_default" style="font-size:12.8px"><font color="#000000" face="arial, helvetica, sans-serif"><br></font></div><div class="gmail_default" style="font-size:12.8px"><font color="#000000" face="arial, helvetica, sans-serif">Where:    <span class="gmail-m_7960197898027616883gmail-m_8692226636264124041gmail-m_2794822896869921223gmail-m_7508998950622620526gmail-m_-7153355664495542534gmail-m_8421504075585210435gmail-m_3262824545120381495gmail-m_-1141671822915777344gmail-m_-7219251726624328345gmail-m_-8588148075564318222gmail-m_-8767966813928691312gmail-m_-1542318334608687154gmail-m_5717104778280916634gmail-m_4845490158781220632gmail-m_5124567205141626540gmail-m_3209361100497750746gmail-m_2953668934074478317gmail-m_-3155518689668024534m_9067904842688472155gmail-m_3071693547520408192gmail-il"><span class="gmail-m_7960197898027616883gmail-m_8692226636264124041gmail-m_2794822896869921223gmail-m_7508998950622620526gmail-m_-7153355664495542534gmail-il">TTIC</span></span>, 6045 S Kenwood Avenue, 5th Floor, Room 526</font></div><div class="gmail_default" style="font-size:12.8px"><font color="#000000" face="arial, helvetica, sans-serif"><br></font></div><div style="font-size:12.8px"><font color="#000000"><font face="arial, helvetica, sans-serif">Who:       Jacob Andreas, UC Berkeley</font></font></div><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif"><br></font></div><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif"><br></font></div><div style="font-size:12.8px"><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><font face="arial, helvetica, sans-serif"><span style="font-size:9.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Title:</span><span style="font-size:9.5pt">        <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Learning from Language</span><br>
<br>
<span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Abstract:</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Human
language is built from a library of concepts and compositional operators.</span>
<span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">These, in turn, provide a rich source of
information about the kinds of</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">abstractions
that humans use to navigate the world. Can this information help us</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">build better machine learning models? In this talk,
we'll explore three</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">different ways of
using language to support learning: as a source of structure</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">for question answering models, as a scaffold for fast
and generalizable</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">reinforcement learning,
and as a tool for understanding the representations</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">computed by general classes of neural networks.</span><br>
<br>
<span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Bio:</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Jacob Andreas is
a fifth-year PhD student at UC Berkeley. His current research</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">focuses on using natural language to more effectively
train and understand</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">machine learning
models. Jacob received a B.S. from Columbia in 2012 and an</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">M.Phil. from Cambridge in 2013. He received paper
awards at NAACL 2016 and </span><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">ICML 2017. He was a Churchill scholar from
2012--13, an NSF graduate fellow from</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">2013--2016,
a Huawei--Berkeley AI fellow from 2016--2017, and is currently</span> <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">supported by a Facebook fellowship.</span><span></span></span></font></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><font face="arial, helvetica, sans-serif"><span style="font-size:9.5pt"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><br></span></span></font></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><font face="arial, helvetica, sans-serif"><span style="font-size:9.5pt"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><br></span></span></font></p><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><font face="arial, helvetica, sans-serif"><span style="font-size:9.5pt"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Host: <a href="mailto:kgimpel@ttic.edu">Kevin Gimpel</a></span></span></font></p></div><div style="font-size:12.8px"><font color="#000000"><font face="arial, helvetica, sans-serif"><br></font></font></div><div><font color="#000000"><font face="arial, helvetica, sans-serif"><br></font></font></div><div><div class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Administrative Assistant</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 504</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL  60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div>
</div>