[Lisa_teatalk] [Lisa_labo] Tea Talk Fri. 12th, 14:30

Yoshua Bengio yoshua.umontreal at gmail.com
Tue Apr 19 06:43:51 EDT 2016


and of long term dependencies are one of my life's challenges.
Le 18 avr. 2016 23:33, "Anirudh goyal" <anirudhgoyal9119 at gmail.com> a
écrit :

> As you already know, I started implementing Yann Olivier's paper, I
> am interested in learning too about long-term credit assignment.
> [image: Web Bug from
> http://t.sidekickopen04.com/e1t/o/5/f18dQhb0S7ks8dDMPbW2n0x6l2B9gXrN7sKj6v5dcN4N63BrC2QJWszW7fKkv61pctGFV5SQLN1k1H6H0?si=5865098844831744&pi=2536c9f5-c32b-4c99-8a3d-16c6e9b6ea1a]
>
>
>
>
> - - Anirudh
>
> On Mon, Apr 18, 2016 at 7:59 PM, Alex Lamb <alex6200 at gmail.com> wrote:
>
>> Hello,
>>
>> Is anyone in the lab actively working on the RNN long term credit
>> assignment problem?
>>
>> I would be interested in another discussion on this issue, especially if
>> someone is actively working on it.
>>
>> Best,
>>
>> Alex.
>>
>> On Sun, Apr 17, 2016 at 8:43 PM, David Krueger <
>> david.scott.krueger at gmail.com> wrote:
>>
>>> In reference to the problem of constant memory training of RNNs, I
>>> mentioned the forward computation of derivatives in this talk (although I
>>> didn't know the name).
>>> Here is a recent paper I encountered that proposes an approximation to
>>> this method; it might be interesting to anyone who's interested in this
>>> problem.
>>>
>>> http://arxiv.org/abs/1507.07680
>>>
>>> On Tue, Mar 8, 2016 at 12:16 PM, Jörg Bornschein <bornj at iro.umontreal.ca
>>> > wrote:
>>>
>>>> Hi,
>>>>
>>>> this Friday our tea-talk will be a bit more of an brain storming
>>>> session and we'll have David Krueger present and discuss some research
>>>> ideas.
>>>>
>>>> Title: Bayesian non-parametric discriminative freeze-thaw sequential
>>>> GANs,
>>>> and other half-baked research ideas
>>>> Who: David Krueger
>>>> When: Fri. March 11th, 14:30
>>>> Where: AA 3195
>>>>
>>>>
>>>>
>>>> Looking forward to see you there!
>>>>
>>>>    j
>>>>
>>>>
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>>>>
>>>>
>>>
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>>>
>>
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>
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