[Lisa_seminaires] [DIRO Talk] Jacob Andreas (UC Berkeley) Mon Feb 26 11AM Z240

Michael Noukhovitch mnoukhov at gmail.com
Mar 27 Fév 14:34:26 EST 2018


Reminder: this is in 15!

On Fri, Feb 23, 2018, 12:29 Michael Noukhovitch <mnoukhov at gmail.com> wrote:

> Kicking off next week's special DIRO talks we have *Jacob Andreas* from *UC
> Berkeley* giving a talk on *Monday Feb 26* at *11:00AM* in room *Claire-McNicoll
> Z240*.
>
> You should be able to learn quite a bit from this presentation just by
> listening!
> Michael
>
> *TITLE *Learning from Language
>
> *KEYWORDS *NLP, compositional/modular learning, reinforcement learning,
> interpretable ML
>
>
> *ABSTRACT*Natural language is built from a library of concepts and
> compositional
> operators that provide a rich source of information about how humans
> understand the world.  Can this information help us build better
> machine learning models? In this talk, we'll explore three ways of
> integrating compositional linguistic structure and learning: using
> language as a source of modular reasoning operators for question
> answering, as a scaffold for fast and generalizable reinforcement
> learning, and as a tool for understanding representations in neural
> networks.
>
> *BIO*
> Jacob Andreas is a fifth-year PhD student at UC Berkeley working in
> natural language processing. He holds a B.S. from Columbia and an
> M.Phil. from Cambridge, where he studied as a Churchill scholar. His
> papers were recognized at NAACL 2016 and ICML 2017. Jacob has been an
> NSF graduate fellow, a Huawei--Berkeley AI fellow, and a Facebook
> fellow.
>
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