[Lisa_seminaires] [Tea Talk] Anirudh Goyal (Mila) Fri 5 April 2019 10h30 Mila Auditorium

Rim Assouel rim.assouel at gmail.com
Ven 5 Avr 09:59:06 EDT 2019


Reminder that this happens in 30 minutes :)

Le lundi 1 avril 2019, Rim Assouel <rim.assouel at gmail.com> a écrit :

> This week we have * Anirudh Goyal* from * Mila * giving a talk on *
> Inductive Biases, Invariances and Generalization* at * 10h30* in room *
> Mila Auditorium*.
>
> Will this talk be streamed <https://mila.bluejeans.com/809027115/webrtc>?
> yes
>
> See you there!
> The Tea Talk Team
>
> *TITLE* Inductive Biases, Invariances and Generalization
>
> *ABSTRACT*
> The biggest challenge right now in RL specifically, AI more generally, is
> to devise methods for learning complex behaviours that have meaningful
> generalization. In supervised learning (vision, speech, NLP), it seems that
> deep models can achieve very complex generalization, but this is not really
> the case in RL. In this talk, I'm going to first argue that this gap in
> generalization has much to do with current practices in evaluating
> generalization in multitask, transfer and meta-learning setups, and then
> I'm going to talk about an elegant solution for learning complex inductive
> biases that can be used to exploit the structure of the task, thus enabling
> the learning agent to incorporate prior knowledge into the learning system
> to exploit reusable structure in task space.
>
> *BIO*
> Anirudh Goyal is a first year PhD student advised by Prof. Yoshua Bengio.
> His current research interests center around understanding the interplay
> b/w three words: Invariances, Inductive Biases and Generalization.
>
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