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ESE PhD Seminar – “Prehistory of Continual Learning and All Else That We Forget”

November 5 at 12:00 PM - 1:00 PM

I would probably “forget” what I will say in the abstract, and you would, too. Translation: deep neural networks can “forget”, meaning they might perform poorly on previously learned tasks when learning a new task. A major goal of the subject now known as deep continual learning is to address this issue. In order to alleviate forgetting, the subject seems to forget that it has a prehistory (1960 – 1980). In this talk, we will recollect a few historical pieces and compare them with their modern counterparts. If time allows, I shouldn’t forget and should be excited to share my recent work on continual learning with you.

Liangzu Peng

ESE Ph.D. Candidate

Liangzu Peng is a fourth-year PhD student working with Rene Vidal. He received his master’s degree from ShanghaiTech University and his undergraduate at Zhejiang University. He has co-authored over 20 papers on machine learning, computer vision, optimization, and signal processing. His current research focus is on continual learning.

Details

Date:
November 5
Time:
12:00 PM - 1:00 PM
Event Categories:
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Website:
https://www.ese.upenn.edu/ese-events/phd-colloquium/

Organizer

Electrical and Systems Engineering
Phone
215-898-6823
Email
eseevents@seas.upenn.edu
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Venue

Raisler Lounge (Room 225), Towne Building
220 South 33rd Street
Philadelphia, PA 19104 United States
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