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Events for the 1st week of December

  • PTE Webinar

    Mon, Nov 30, 2020 @ 01:00 PM - 02:00 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Workshops & Infosessions


    An Innovative laboratory Method to Measure Stress-dependent Source Rock Permeability
    by
    Dr. Hui-Hai Liu
    Aramco Research Center, Houston, Texas







    More Information: Nov 30 Webinar.jpg

    Location: ZOOM

    WebCast Link: zoom 991 9385 9401 Passcode: 627961

    Audiences: Everyone Is Invited

    Contact: iraj ershaghi

    OutlookiCal
  • DEN@Viterbi - Online Graduate Engineering Virtual Information Session

    Wed, Dec 02, 2020 @ 09:00 AM - 10:00 AM

    Distance Education Network, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi School of Engineering for a virtual information session via WebEx, providing an introduction to DEN@Viterbi, our top ranked online delivery system. Discover the 40+ graduate engineering and computer science programs available entirely online.

    Attendees will have the opportunity to connect directly with USC Viterbi representatives during the session to discuss the admission process, program details and the benefits of online delivery for the working professional.

    Register Today!

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e63e172b3f7e9e6edee19befc0382679b

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

    OutlookiCal
  • Computer Science General Faculty Meeting

    Wed, Dec 02, 2020 @ 10:00 AM - 12:00 PM

    Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: Zoom Meeting

    Audiences: Invited Faculty Only

    Contact: Assistant to CS chair

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  • DEN@Viterbi - Online Graduate Engineering Virtual Information Session

    Wed, Dec 02, 2020 @ 06:00 PM - 07:00 PM

    Distance Education Network, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi School of Engineering for a virtual information session via WebEx, providing an introduction to DEN@Viterbi, our top ranked online delivery system. Discover the 40+ graduate engineering and computer science programs available entirely online.

    Attendees will have the opportunity to connect directly with USC Viterbi representatives during the session to discuss the admission process, program details and the benefits of online delivery for the working professional.

    Register Today!

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=eed9fdaeab54aae14408ad62ae513404e

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

    OutlookiCal
  • NLSeminar-INFORMATION-THEORETIC PROBING WITH MINIMUM DESCRIPTION LENGTH

    Thu, Dec 03, 2020 @ 10:00 AM - 11:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Elena Voita, Univ of Edinburgh

    Talk Title: INFORMATION-THEORETIC PROBING WITH MINIMUM DESCRIPTION LENGTH

    Abstract: How can you know whether a model has learned to encode a linguistic property? The most popular approach to measure how well pretrained representations encode a linguistic property is to use the accuracy of a probing classifier (probe). However, such probes often fail to adequately reflect differences in representations, and they can show different results depending on probe hyperparameters. As an alternative to standard probing, we propose information-theoretic probing which measures minimum description length MDL of labels given representations. In addition to probe quality, the description length evaluates the amount of effort needed to achieve this quality. We show that 1 MDL can be easily evaluated on top of standard probe training pipelines, and 2 compared to standard probes, the results of MDL probing are more informative, stable, and sensible.



    Biography: Elena Voita is a Ph.D. student at the University of Edinburgh and University of Amsterdam supervised by Ivan Titov and Rico Sennrich, and is currently a Facebook PhD Fellow. Her research focuses on document level neural machine translation, as well as on understanding what and how neural models learn. Previously, she was a research scientist at Yandex Research and worked closely with the Yandex Translate team. She also teaches NLP at the Yandex School of Data Analysis.

    Host: Jon May and Mozhdeh Gheini

    More Info: https://nlg.isi.edu/nl-seminar/

    Webcast: https://usc.zoom.us/j/96662265166

    Location: Information Science Institute (ISI) - Virtual Only

    WebCast Link: https://usc.zoom.us/j/96662265166

    Audiences: Everyone Is Invited

    Contact: Petet Zamar

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