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Events for November 12, 2020

  • DEN@Viterbi: How to Apply Virtual Info Session

    Thu, Nov 12, 2020 @ 09:00 AM - 10:00 AM

    Distance Education Network, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi representatives for a step-by-step guide and tips for how to apply for formal admission into a Master's degree or Graduate Certificate program. The session is intended for individuals who wish to pursue a graduate degree program completely online via USC Viterbi's flexible online DEN@Viterbi delivery method.

    Attendees will have the opportunity to connect directly with USC Viterbi representatives and ask questions about the admission process throughout the session.

    Register Now!

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e999ba80e88d7173c9d4a02427da82182

    Audiences: Everyone Is Invited

    Posted By: Corporate & Professional Programs

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  • Life as a Viterbi Engineering Student

    Thu, Nov 12, 2020 @ 11:00 AM - 12:00 PM

    Viterbi School of Engineering Doctoral Programs, Viterbi School of Engineering Graduate Admission, Viterbi School of Engineering Masters Programs, Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Interested in Master's or PhD programs in engineering or computer science? Would you like to hear from some of our current USC Viterbi Engineering students?

    You are cordially invited to meet representatives from the Viterbi School of Engineering on an online webinar.

    Students who have earned or are in the process of earning a Bachelor's degree in engineering, computer science, mathematics, or a hard science (such as physics, biology, or chemistry) are welcome to attend to learn more about applying to our graduate programs.

    The session will include information on the following topics:

    - Master's & PhD programs in engineering and computer science
    - How to Apply
    - Scholarships and funding
    - Student life at USC and in Los Angeles

    There will also be sufficient time for questions.

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e1761ed258164d8f7dfc91e94a6d7caad

    Audiences: Everyone Is Invited

    Posted By: Kevin Henry

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  • NL Seminar-The Unreasonable Syntactic Expressivity of RNNs

    Thu, Nov 12, 2020 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: John Hewitt, Stanford University

    Talk Title: The Unreasonable Syntactic Expressivity of RNNs

    Series: NL Seminar

    Abstract: In 2015, Andrej Karpathy posted a now famous blog post on The Unreasonable Effectiveness of Recurrent Neural Networks. To summarize this sense of wonder, Karpathy emphasized We will train RNNs to generate text character by character and ponder the question how is that even possible? RNNs empirically generate natural language with high syntactic fidelity, but their success is not well understood theoretically. In this talk, I will provide theoretical insight into this success, proving in a finite precision setting that RNNs can efficiently generate bounded hierarchical languages that reflect the scaffolding of natural language syntax. I will introduce Dyck k,m, the language of well nested brackets of k types and m bounded nesting depth, reflecting the bounded memory needs and long distance dependencies of natural language syntax. The best previously known results use Ok m 2 memory hidden units to generate these languages. I will prove that an RNN with O m log k hidden units suffices, an exponential reduction in memory, by an explicit construction. Finally, I will show that no algorithm, even with unbounded computation, can suffice with o m log k hidden units.

    Biography: John is a 3rd year PhD student in computer science at Stanford University, advised by Chris Manning and Percy Liang. He works on understanding and improving how unsupervised neural networks learn and process human languages. He is supported by a National Science Foundation Graduate Research Fellowship, and is the recipient of an EMNLP Runner Up Best Paper award.


    Host: Jon May and Mozhdeh Gheini

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

    Webcast: https://usc.zoom.us/j/95584315616

    Location: Information Science Institute (ISI) - Virtual Only

    WebCast Link: https://usc.zoom.us/j/95584315616

    Audiences: Everyone Is Invited

    Posted By: Petet Zamar

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  • CS Colloquium: Muhao Chen (USC ISI) - Knowledge Acquisition with Transferable Representation Learning

    Thu, Nov 12, 2020 @ 03:30 PM - 04:30 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Muhao Chen, USC

    Talk Title: Knowledge Acquisition with Transferable Representation Learning

    Abstract: Multi-relational data provide structural and actionable knowledge representations for various AI systems. As constructing such structural knowledge is often costly and has relied on extensive human effort, there is a pressing need for approaches to automate knowledge acquisition. In this talk, I will summarize two lines of my research to accomplish this mission: (i) transferable representation learning, and (ii) constrained and indirect supervision. Transferable representation learning can automatically capture the association of knowledge across different data sources with minimal supervision, therefore holds the promise of creating a universal representation scheme to support the synchronization of knowledge. Meanwhile, constrained and indirect supervision methods could develop more reliable learning systems for knowledge acquisition from unstructured data, particularly in cases without sufficient training labels. Based on these two lines of research, I will also discuss several applications for a wide range of tasks in areas of knowledge base construction, natural language understanding and computational biology.

    This talk satisfies requirements for CSCI 591: Research Colloquium

    Join Zoom Meeting
    https://usc.zoom.us/j/96706950791?pwd=cXp3TWlhRmo5ZDB0bnA0a0lOQ1VVdz09

    Meeting ID: 967 0695 0791
    Passcode: 808248


    Biography: Muhao Chen joined as a computer scientist at USC ISI in Fall 2020. Prior to that, he was a postdoctoral fellow at UPenn, hosted by Dan Roth. He received his Ph.D. in Computer Science from UCLA in 2019, and B.S. in Computer Science from Fudan University in 2014. His research focuses on data-driven machine learning approaches for processing structured data, and knowledge acquisition from unstructured data. Particularly, he is interested in developing knowledge-aware learning systems with generalizability and requiring minimal supervision, and with concrete applications to natural language understanding, knowledge base construction, computational biology and medicine. Muhao has published over 40 papers in leading AI, NLP and Comp. Bio/med venues. His work has received a best student paper award at ACM BCB, and best paper award nomination at CoNLL. Additional information is available at https://muhaochen.github.io/

    Host: CS Department

    Audiences: Everyone Is Invited

    Posted By: Cherie Carter

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  • Virtual Q&A Panel: What you should know about leading in TECH!

    Thu, Nov 12, 2020 @ 04:30 PM - 05:30 PM

    Computer Science

    Workshops & Infosessions


    This event is hosted by ITP. CS students are invited to join.

    Please join us on Thursday, November 12 at 4:30 pm PST for a virtual Q&A panel featuring leaders in data science, product management, software engineering, and network security. Additionally, students will be able to network with panelists and ask questions regarding the tech field during COVID-19, career insight, and much more!

    This event is highly recommended to students who want to start their career in the technology industry. All USC students are welcome to join and participate. The Q&A will be recorded and can be sent to students if requested. Online participants will get a chance to ask questions.

    Click the Zoom link below to join on Thursday, November 12 at 4:30pm PST:
    https://usc.zoom.us/j/99308109238?pwd=elMwbWp5cDdjMkJHNG03Z0h6ZW84dz09

    Location: Online - Zoom

    WebCast Link: https://usc.zoom.us/j/99308109238?pwd=elMwbWp5cDdjMkJHNG03Z0h6ZW84dz09

    Audiences: Everyone Is Invited

    Posted By: USC Computer Science

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  • Viterbi Impact Program (VIP) Celebration

    Thu, Nov 12, 2020 @ 05:00 PM - 06:00 PM

    Viterbi School of Engineering Student Affairs

    Receptions & Special Events


    Join us as we celebrate and thank our Viterbi Impact volunteers for their service!

    Location: Online

    WebCast Link: https://usc.zoom.us/j/92595709853?pwd=V0dHRFdod015RGhvejdCNitTampxZz09

    Audiences: Everyone Is Invited

    Posted By: Viterbi Undergraduate Programs

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  • DEN@Viterbi: How to Apply Virtual Info Session

    Thu, Nov 12, 2020 @ 06:00 PM - 07:00 PM

    Distance Education Network, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi representatives for a step-by-step guide and tips for how to apply for formal admission into a Master's degree or Graduate Certificate program. The session is intended for individuals who wish to pursue a graduate degree program completely online via USC Viterbi's flexible online DEN@Viterbi delivery method.

    Attendees will have the opportunity to connect directly with USC Viterbi representatives and ask questions about the admission process throughout the session.

    Register Now!

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e97d29aba08ea45d2265bd9d069884740

    Audiences: Everyone Is Invited

    Posted By: Corporate & Professional Programs

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