[Lisa_seminaires] [mila-tous] [reminder] [Tea Talk] Maxime Chevalier-Boisvert (Mila) Fri January 11 2019 10h30 Mila Auditorium

Dzmitry Bahdanau dimabgv at gmail.com
Ven 11 Jan 17:52:38 EST 2019


Thanks everyone for coming to our talk!

If you are interested in using BabyAI for your research or doing research
in the directions that Maxime and myself propose, please come to our BabyAI
Idea Fair, which will take place at the meeting room A.14 on Tuesday,
January 15, 13:00. It will be an informal gathering for people interested
in grounded language acquisition in general and using BabyAI in particular.
Let's get know each other better and brainstorm about ideas!

Please join #aigame on slack for further communication about BabyAI.

Dima

On Fri, 11 Jan 2019 at 10:13 Pablo Fonseca <palefo at gmail.com> wrote:

> The streaming link for this talk is
> https://mila.bluejeans.com/4862024040/webrtc
> <https://mila.bluejeans.com/4862024040/webrtc>
>
>
>
> On Fri, Jan 11, 2019 at 9:50 AM Rim Assouel <rim.assouel at gmail.com> wrote:
>
>> This happens in 45 minutes!
>>
>> The auditorium is located in the new Mila building : 6650 St-Urbain
>> <https://maps.google.com/?q=6650+St-Urbain&entry=gmail&source=g>, ground
>> floor, the room at the very end of the corridor, right after the Agora.
>>
>> See you there!
>>
>> On Jan 7, 2019, at 9:53 AM, Rim Assouel <rim.assouel at gmail.com> wrote:
>>
>> This week we have * Maxime Chevalier-Boisvert* from * Mila * giving a
>> talk on * BabyAI: A Platform to Study the Sample Efficiency of Grounded
>> Language Learning* at * 10h30* in room * Mila Auditorium*.
>>
>> Will this talk be streamed
>> <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmila.bluejeans.com%2F809027115%2Fwebrtc&data=02%7C01%7C%7Cfff90164c81b40b986ed08d674afe588%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636824696144711094&sdata=7R9%2FbUnkk%2BnS41mb%2FC7z31G%2B2n675y1mfxjN%2Bnd%2BvLQ%3D&reserved=0>?
>> yes
>>
>> We are also pleased to share the new « website » where we will keep track
>> of the talks slides/recordings :
>> https://sites.google.com/lisa.iro.umontreal.ca/tea-talk-recordings/home?authuser=0
>> <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Flisa.iro.umontreal.ca%2Ftea-talk-recordings%2Fhome%3Fauthuser%3D0&data=02%7C01%7C%7Cfff90164c81b40b986ed08d674afe588%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636824696144711094&sdata=HSaAxTbNrNZn4o2nXg%2FdRxd2F5PTGJ2rG2gaiOTD9RA%3D&reserved=0>
>> It’s accessible with your Mila google account :)
>>
>> See you there and Happy New Year!
>>
>> Pablo, Sai and Rim
>>
>> *TITLE* BabyAI: A Platform to Study the Sample Efficiency of Grounded
>> Language Learning
>>
>> *ABSTRACT*
>> This talk will present BabyAI, a research project based at Mila with the
>> long-term goal of creating agents which we can communicate with and teach
>> new concepts using natural language. We will begin by discussing why
>> language learning is a hard problem, one to which deep learning doesn't yet
>> have a satisfying answer for. We will then introduce the BabyAI platform,
>> created to study the sample efficiency of grounded language learning in the
>> context of embodied agents and instruction following (see paper accepted at
>> ICLR19, https://openreview.net/forum?id=rJeXCo0cYX
>> <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopenreview.net%2Fforum%3Fid%3DrJeXCo0cYX&data=02%7C01%7C%7Cfff90164c81b40b986ed08d674afe588%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636824696144711094&sdata=D0QTqMzgRYHAqNP%2BNNOeZ3Z2rR6zzKZ5%2FrnaOxg3QQ4%3D&reserved=0>).
>> Lastly, we will discuss multiple promising research directions we have
>> identified with the goal of improving the sample efficiency of grounded
>> language learning.
>>
>> *BIO*
>> Maxime has completed a PhD in computer science at the Université de
>> Montréal in early 2016. She has since worked at Apple as part of the mobile
>> GPU team, and then joined Mila as part of the research engineering staff.
>> At Mila, she has been co-directing the BabyAI project with Dzmitry
>> Bahdanau, and took part in creating the Duckietown Simulator. Her main
>> research interests are robotics, embodied agents and reinforcement learning.
>>
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