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Events for February 25, 2021
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PhD Thesis Proposal - Victor Ardulov
Thu, Feb 25, 2021 @ 09:00 AM - 10:30 AM
Thomas Lord Department of Computer Science
University Calendar
Title: Control Theoretic Framework for Measuring, Modeling, and Regulating Human Interaction
Committee:
Shrikanth Narayanan (chair)
Fei Sha
Gale Lucas
David Traum
Tom D Lyon
abstract:
Human interaction is a vital component to a persons' development and well-being. These interactions enable us to over come obstacles and find resolutions that an individual might not be able to. This subject is particularly well studied in the domains of human psychology, where human behavior is diagnostically categorized and the interaction can be utilized in order to improve somebody's health.
Prior work has explored the use of computational models of human behavior to aide in the diagnostic assessment of behavioral patterns. Most recently, novel machine learning methods and access data has invited the to study the dynamics of human interaction on a more granular time-resolution. These dynamics have been used to identify specific moments during interactions that are relevant to the over all assessment of a individuals behavior with respect to their interlocutor. By reformulating this system from the perspective of an operator that can be controlled, it invites the possibility to predict how an individual would react to a specific input from their partner, which itself lends the opportunity to plan out interventions and probes more effectively.
This thesis proposal presents a formulation of human interaction as a control theoretic problem and demonstrates how these frameworks can be utilized to gain insight into improving desired outcomes. In support of the thesis, we will present the application of these techniques to the domain of child forensic interviewing.
Presentation on: February 25th 9 a.m. join via Zoom: https://usc.zoom.us/j/93374500380?pwd=ZHh6UDVXV0NTei9OS3h6TlZCeitDUT09
WebCast Link: https://usc.zoom.us/j/93374500380?pwd=ZHh6UDVXV0NTei9OS3h6TlZCeitDUT09
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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NL Seminar-Insights from Re-evaluating NLP Systems
Thu, Feb 25, 2021 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Robin Jia, USC CS
Talk Title: Insights from Re-evaluating NLP Systems
Series: NL Seminar
Abstract: *This Talk Will Not Be Recorded*
Although large pre trained models have achieved exceptional results on standard NLP benchmarks, it is clear that they are still far from actually understanding natural language. This gap highlights the need to develop and embrace more challenging settings for evaluation. In this talk, I will present work that re evaluates seemingly high performing NLP systems and derives insights on how these systems can be further improved. First, we will evaluate models under extreme label imbalance, a phenomenon that creates unavoidable train test mismatch. Here, collecting training data adaptively leads to dramatic improvements over static data collection. Second, we will grapple with adversarial perturbations label preserving transformations that can trigger surprising model errors. We will develop training methods to make models certifiably robust to combinatorially large families of perturbations. Finally, we will assess the utility of automatic evaluation metrics for comparing NLG systems. We will show that metrics can be surprisingly competitive with evaluation schemes that rely on human annotators, and highlight reduction of statistical bias against particular NLG systems as an important future direction.
Biography: Robin Jia will be an Assistant Professor in Computer Science at the University of Southern California starting in Fall 2021. Currently, he is a visiting researcher at Facebook AI Research, working with Luke Zettlemoyer and Douwe Kiela. He received his Ph.D. in Computer Science from Stanford University, where he was advised by Percy Liang.
He is interested broadly in natural language processing and machine learning, with a particular focus on building NLP systems that are robust to distribution shift. Robins work has received an Outstanding Paper Award at EMNLP 2017 and a Best Short Paper award at ACL 2018.
Host: Jon May and Mozhdeh Gheini
More Info: https://nlg.isi.edu/nl-seminar/
Webcast: NALocation: Information Science Institute (ISI) - Virtual Only: This Talk Will Not Be Recorded
WebCast Link: NA
Audiences: Everyone Is Invited
Contact: Petet Zamar
Event Link: https://nlg.isi.edu/nl-seminar/
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KIUEL E-WEEK: League of Legends
Thu, Feb 25, 2021 @ 11:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
University Calendar
Sign up for the League of Legends Tournament on February 25th at 3pm! Gather some friends or play solo, and well create teams accordingly. earn prizes (gift cards) and celebrate E-Week with some friendly competition :)
Sign up: https://tinyurl.com/eweekleagueMore Information: KIUEK_EWEEK_LOL.JPG
Audiences: Everyone Is Invited
Contact: Viterbi Undergraduate Programs
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Undergraduate Advisement Drop-in HoursThu, Feb 25, 2021 @ 01:30 PM - 02:30 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/
Location: Online
Audiences: Undergrad
Contact: USC Computer Science
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CS Distinguished Lecture: Rada Mihalcea (University of Michigan) - Moving Away from One-Size-Fits-All Natural Language Processing
Thu, Feb 25, 2021 @ 04:00 PM - 05:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Rada Mihalcea, University of Michigan
Talk Title: Moving Away from One-Size-Fits-All Natural Language Processing
Series: Computer Science Distinguished Lecture Series
Abstract: The typical approach in natural language processing is to use one-size-fits-all representations, obtained from training one model on very large text collections. While this approach is effective for those people whose language style is well represented in the data, it fails to account for variations between people, and often leads to decreased performance for those in the minority. In this talk, I will challenge the one-size-fits-all assumption, and show that (1) we can identify words that are used in significantly different ways by speakers from different cultures; and (2) we can effectively use information about the people behind the words to build better natural language processing models.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_05SDnJisSNa9_iJj-5PLfw
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Rada Mihalcea is the Janice M. Jenkins Collegiate Professor of Computer Science and Engineering at the University of Michigan and the Director of the Michigan Artificial Intelligence Lab. Her research interests are in computational linguistics, with a focus on lexical semantics, multilingual natural language processing, and computational social sciences. She serves or has served on the editorial boards of the Journals of Computational Linguistics, Language Resources and Evaluations, Natural Language Engineering, Journal of Artificial Intelligence Research, IEEE Transactions on Affective Computing, and Transactions of the Association for Computational Linguistics. She was a program co-chair for EMNLP 2009 and ACL 2011, and a general chair for NAACL 2015 and *SEM 2019. She currently serves as ACL President. She is the recipient of a Presidential Early Career Award for Scientists and Engineers awarded by President Obama (2009), an ACM Fellow (2019) and a AAAI Fellow (2021). In 2013, she was made an honorary citizen of her hometown of Cluj-Napoca, Romania.
Host: Xiang Ren
Webcast: https://usc.zoom.us/webinar/register/WN_05SDnJisSNa9_iJj-5PLfwLocation: Online Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_05SDnJisSNa9_iJj-5PLfw
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Boeing Freshman Design Challenge Info Session
Thu, Feb 25, 2021 @ 06:00 PM - 07:00 PM
Viterbi School of Engineering Career Connections
University Calendar
Boeing Freshman Design Challenge Information Session
Challenge Details: As the worlds leading aerospace company, Boeing is the world's largest manufacturer of commercial airplanes and military aircraft. To continue this dominance, Boeing needs the young minds of tomorrow to provide innovative, new perspectives. For this reason, Boeing will be putting on a design challenge for the Freshmen class of USC. In this competition, teams of three or four freshmen will have two hours to work together and design a solution to a typical, real-world engineering problem.
During this unique, resume-building experience, students will also have the opportunity to network with Boeing engineers and executives, who will be available to act as mentors and judges.
The design challenge will be held 6-9pm (PST) Thursday, March 4th, 2021.
- Despite being virtual, food will be provided in the form of dining gift cards for participants.
- Prizes are provided to top participants.
- The event will be held virtually on Viterbi Career Connections Zoom.
For RSVP information log into Viterbi Career Gateway>> Events>> Information Sessions:https://shibboleth-viterbi-usc-csm.symplicity.com/ssoAudiences: All Viterbi freshman
Contact: RTH 218 Viterbi Career Connections
