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Events for January 19, 2018

  • Transfer Day

    Fri, Jan 19, 2018

    Viterbi School of Engineering Undergraduate Admission

    Receptions & Special Events


    TRANSFER DAY FEATURES: A presentation from Viterbi Admission, Campus Tours, Academic Department Visits, and more!

    If you have questions about engineering and the transfer process then Transfer Day is for you. Transfer Day is a half-day comprehensive program designed to give you the most in-depth look at the transfer process and academic life at USC. Specifically, the program includes presentations on the admission process, transfer credit policy, academics, financial aid. You will also have the opportunity to visit an academic department or take a campus tour. Reservations are required.

    RSVP

    Location: Ronald Tutor Campus Center (TCC) - USC Admission Office

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • NL Seminar-Attention Is All You Need

    Fri, Jan 19, 2018 @ 03:00 PM - 04:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Ashish Vaswani, Jakob Uszkoreit, and Niki Parmar , Google Brain

    Talk Title: Attention Is All You Need

    Series: Natural Language Seminar

    Abstract: The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 English to German translation task, improving over the existing best results, including ensembles by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state of the art BLEU score of 41.8 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.

    Biography: TBA

    Host: Marjan Ghazvininejad and Kevin Knight

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

    Location: Information Science Institute (ISI) - 11th Flr Conf Rms # 1135 and #1137, Marina Del Reys

    Audiences: Everyone Is Invited

    Posted By: Peter Zamar

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