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Events for July 29, 2021
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Guest Speaker Series: "Learning from the Pandemic to Improve Healthcare"
Thu, Jul 29, 2021 @ 10:00 AM - 12:00 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Randy Hall, Epstein ISE Dept./Director of CREATE; Hal Yee, Jr, MD, PhD, Chief Deputy Director, Clinical Affairs, and Chief Medical Officer, Los Angeles County, Moderated by Michael Cousineau, DrPH
Talk Title: How the Pandemic Changed the Healthcare System.
Abstract: Understanding Pandemic Driven Demand for Optimizing Patient Flow.
Host: The Daniel J. Epstein Department of Industrial and Systems Engineering, The Gehr Family Center at the Keck School of Medicine, and the Price School of Public Policy.
More Info: Follow link to register for event: https://usc.zoom.us/webinar/register/WN_F5NCbL-MQiKgP63JghiVsg
More Information: Learning from the Pandemic to Improve Healthcare.pdf
Location: Online/Zoom
Audiences: Everyone Is Invited
Contact: Grace Owh
Event Link: Follow link to register for event: https://usc.zoom.us/webinar/register/WN_F5NCbL-MQiKgP63JghiVsg
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NL Seminar- Fantastic Continuous-valued Sentence Representations and How to Find Them
Thu, Jul 29, 2021 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Nishant Subramani, Allen NLP
Talk Title: Fantastic Continuous-valued Sentence Representations and How to Find Them
Series: NL Seminar
Abstract: REMINDER Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you're highly encouraged to use your USC account to sign into Zoom. If you're an outside visitor, please inform nlg DASH seminar DASH admin2 AT isi.edu beforehand so we'll be aware of your attendance and let you in.
ABSTRACT:
Recently, large pretrained language models have seen tremendous success in few-shot and zero shot learning settings when given appropriate prompting. For these models to excel in this few shot paradigm, the provided prompts must condition the language model to produce the desired output sequence. We investigate a more general property of this idea: does there exist a continuous, fixed length vector that can prompt a pretrained and frozen language model to generate any output sentence of interest? To answer this, we develop a language model agnostic sentence representation discovery algorithm, which learns a continuous-valued, fixed-length vector for a sequence by adding the vector at various locations in the language model and optimizing it to maximize the likelihood of the sequence. Experiments reveal that for nearly all English sentences, greater than 98 percent from different genres and corpora, we can find a vector that recovers our sentence of interest exactly without fine tuning the underlying language model. In addition, we find that our representations can be learned in real-time and are robust to initialization; convergence requires less than 20 iterations on average using stochastic gradient descent with Adam.
Biography: Nishant is a predoctoral young investigator on the AllenNLP team at AI2 working with Matt Peters and part of the Masakhane community. He is broadly interested in sentence representation, ML for social good, and out-of-distribution generalization research. Previously, Nishant has spent time in industry working on document analysis, OCR, fake speech detection, and audio-driven facial animation. He also has worked with Kyunghyun Cho, Sam Bowman, and Doug Downey during his time at NYU and Northwestern on NLP and causality research.
Host: Jon May and Mozhdeh Gheini
More Info: https://nlg.isi.edu/nl-seminar/
Webcast: https://youtu.be/pCKBSPDenpcLocation: Information Science Institute (ISI) - Virtual Only
WebCast Link: https://youtu.be/pCKBSPDenpc
Audiences: Everyone Is Invited
Contact: Petet Zamar
Event Link: https://nlg.isi.edu/nl-seminar/
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Virtual First-Year Admission Information SessionThu, Jul 29, 2021 @ 04:00 PM - 05:00 PM
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience. Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life. Guests will be able to ask questions and engage in further discussion toward the end of the session.
Register here!
Audiences: Everyone Is Invited
Contact: Viterbi Admission
