[Lisa_seminaires] [Bigger Room CHANGE] [mila-tous] [Tea Talk] Hugo Larochelle (Mila + Brain) Fri November 9 2018 10:30 AM Z-330

Pablo Fonseca palefo at gmail.com
Ven 9 Nov 10:38:23 EST 2018


The streaming link is: The streaming link is
https://bluejeans.com/910827731/webrtc
Pablo Fonseca


On Fri, Nov 9, 2018 at 9:42 AM Rim Assouel <rim.assouel at gmail.com> wrote:

> Last minute change for a bigger room (this one has a capacity of 130 so we
> should be fine).
>
> The talk will happen in Z-330, this is the Claire McNicoll building !
>
> See you there,
>
> Rim & Sai
>
>
>
> On Mon, Nov 5, 2018 at 9:33 AM <rim.assouel at gmail.com> wrote:
>
>> This week we have *Hugo Larochelle* from * Mila + Brain* giving a talk
>> on *Fri November 9 2018* at *10:30 AM* in room *JC S1-111*
>>
>> Will this talk be streamed <https://mila.bluejeans.com/809027115/webrtc>?
>> Yes
>> Recorded? Yes
>>
>> Feel like learning to learn ? Hugo will teach you the good way, this
>> Friday,  one shot at a time ;)
>>
>> See you there!
>> Rim and Sai
>>
>> *TITLE* Few-Shot Learning with Meta-Learning: Progress Made and
>> Challenges Ahead.
>>
>> *KEYWORDS*
>>
>> *ABSTRACT*
>> A lot of the recent progress on many AI tasks was enable in part by the
>> availability of large quantities of labeled data. Yet, humans are able to
>> learn concepts from as little as a handful of examples. Meta-learning is a
>> very promising framework for addressing the problem of generalizing from
>> small amounts of data, known as few-shot learning. In meta-learning, our
>> model is itself a learning algorithm: it takes as input a training set and
>> outputs a classifier. For few-shot learning, it is (meta-)trained directly
>> to produce classifiers with good generalization performance for problems
>> with very little labeled data. In this talk, I'll present an overview of
>> the recent research that has made exciting progress on this topic
>> (including my own) and will discuss the challenges as well as research
>> opportunities that remain.
>>
>> *BIO*
>> Hugo Larochelle is Research Scientist at Google Brain and lead of the
>> Montreal Google Brain team. He is also a member of Yoshua Bengio's Mila and
>> an Adjunct Professor at the Université de Montréal. Previously, he was
>> Associate Professor at the University of Sherbrooke. He also co-founded
>> Whetlab, which was acquired in 2015 by Twitter, where he then worked as a
>> Research Scientist in the Twitter Cortex group. From 2009 to 2011, he was
>> also a member of the machine learning group at the University of Toronto,
>> as a postdoctoral fellow under the supervision of Geoffrey Hinton. He
>> obtained his Ph.D. at the Université de Montréal, under the supervision of
>> Yoshua Bengio. His long time nemesis is Aaron Courville. Finally, he has a
>> popular online course on deep learning and neural networks, freely
>> accessible on YouTube.
>>
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