Sorry to everyone that received this today, please ignore. This was sent out yesterday but there must be some issue either on my end or with servers.
On Mon, Feb 26, 2018 at 10:47 AM Michael Noukhovitch mnoukhov@gmail.com wrote:
Reminder: this is in 15!
On Fri, Feb 23, 2018, 12:29 Michael Noukhovitch mnoukhov@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.