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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20240310T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
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TZNAME:CDT
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DTSTART:20231105T010000
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TZOFFSETTO:-0600
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BEGIN:VEVENT
DTSTAMP:20240214T225734Z
UID:5112773C-C76B-4F30-B109-D2E080A79AD7
DTSTART;TZID=America/Chicago:20240208T120000
DTEND;TZID=America/Chicago:20240208T130000
DESCRIPTION:This talk will be about Deep Continual Learning\, what it is\, 
 and how to apply it for deep learning tasks. Also included are some future
  directions in continual learning.\n\nCo-sponsored by: WIE\n\nSpeaker(s): 
 \, Truman\n\nBldg: 51\, Archives\, Southwest Research Institute\, 229 Aven
 ue D\, San Antonio\, Texas\, United States\, 78238
LOCATION:Bldg: 51\, Archives\, Southwest Research Institute\, 229 Avenue D\
 , San Antonio\, Texas\, United States\, 78238
ORGANIZER:sriram.nagaraj@swri.org
SEQUENCE:11
SUMMARY:Deep Continual Learning: Past\, Present\, and Future
URL;VALUE=URI:https://events.vtools.ieee.org/m/405270
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;This talk will be about Deep Continual Lea
 rning\, what it is\, and how to apply it for deep learning tasks. Also inc
 luded are some future directions in continual learning.&lt;/p&gt;
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