Events

  • 2019 Mar 11

    MBB Lunch Series

    12:00pm to 1:15pm

    Location: 

    1550 William James Hall

     

    The MBB Lunch Series is free and open to the Harvard community.

     

    What Do Neural Networks Learn About the Structure of Natural Language? The Filler---Gap Dependency as a Test Case.
    Ethan Wilcox
    Graduate Student, Linguistics

    Recurrent Neural Networks (RNNs) are one type of neural model that has been able to achieve state-of-the-art scores on a variety of natural language tasks, including translation and language modeling (which is used in, for example, text prediction)....

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  • 2019 Mar 13

    MBB Distinguished Lecture

    (All day)

     

    THE POWER AND LIMITS OF DEEP LEARNING
    Yann LeCun
    Facebook AI Research & New York University

    Deep Learning (DL) has enabled significant progress in computer perception, natural language understanding and control. Almost all these successes rely on supervised learning, where the machine is required to predict human-provided annotations, or model-free reinforcement learning, where the machine learn policies that maximize rewards....

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  • 2019 Mar 14

    MBB Distinguished Lecture

    (All day)

     

    HOW COULD MACHINES LEARN LIKE ANIMALS AND HUMANS?
    Yann LeCun
    Facebook AI Research & New York University

    Supervised deep learning is the workhorse of the recent explosion of interest in AI. But supervised learning requires large amounts of human-annotated training data, which limits its range of applications. Similarly, much attention has been devoted to model-free reinforcement learning, which has been very successful for games, but requires impractically large amounts of trials for real-world applications. In contrast, animals and...

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  • 2019 Apr 08

    MBB Lunch Series

    12:00pm to 1:15pm

    The MBB Lunch Series is free and open to the Harvard community.

    Rahul Bhui
    Postdoctoral Fellow, Psychology

    Scott Delaney
    Graduate Student, HSPH