@Alfredo Canziani Hi Alf, at , Yann mentioned there are dataset that the NYU students can use for their SSL project. I was wondering if it is possible to release those to students outside of NYU so that we can try them out as well? 🤔(00:57:27 - 01:54:44) - 08L – Self-supervised learning and variational inference

@Alfredo Canziani Hi Alf, at , Yann mentioned there are dataset that the NYU students can use for their SSL project. I was wondering if it is possible to release those to students outside of NYU so that we can try them out as well? 🤔(00:57:27 - 01:54:44)
08L – Self-supervised learning and variational inference

Course website: http://bit.ly/DLSP21-web
Playlist: http://bit.ly/DLSP21-YouTube
Speaker: Yann LeCun

Chapters
00:00:00 – Welcome to class
00:00:45 – GANs revisited
00:17:07 – Self-supervised learning: a broader purpose
00:31:59 – Sparse modeling
00:43:25 – Amortized inference
00:51:21 – Convolut...
Course website: http://bit.ly/DLSP21-web
Playlist: http://bit.ly/DLSP21-YouTube
Speaker: Yann LeCun

Chapters
00:00:00 – Welcome to class
00:00:45 – GANs revisited
00:17:07 – Self-supervised learning: a broader purpose
00:31:59 – Sparse modeling
00:43:25 – Amortized inference
00:51:21 – Convolutional sparse modeling (with group sparsity
00:55:12 – Discriminant recurrent sparse AE
00:57:26 – Other self-supervised learning techniques
00:58:45 – Group sparsity
01:07:47 – Regularization through temporal consistency
01:12:09 – VAE: intuitive interpretation
01:26:13 – VAE: probabilistic variational approximation-based interpretation

#PyTorch #NYU #Yann LeCun #Deep Learning #neural networks
– Summary - 08L – Self-supervised learning and variational inference

– Summary

08L – Self-supervised learning and variational inference
2021年08月12日 
00:00:00 - 00:01:00
– Welcome to class - 08L – Self-supervised learning and variational inference

– Welcome to class

08L – Self-supervised learning and variational inference
2021年08月12日 
00:00:00 - 01:54:44
– GANs - 08L – Self-supervised learning and variational inference

– GANs

08L – Self-supervised learning and variational inference
2021年08月12日 
00:01:00 - 00:17:10
– How do Humans and Animals learn quickly - 08L – Self-supervised learning and variational inference

– How do Humans and Animals learn quickly

08L – Self-supervised learning and variational inference
2021年08月12日 
00:17:10 - 00:28:05
– Self Supervised Learning - 08L – Self-supervised learning and variational inference

– Self Supervised Learning

08L – Self-supervised learning and variational inference
2021年08月12日 
00:28:05 - 00:32:00
– Sparse Coding Sparce Modeling - 08L – Self-supervised learning and variational inference

– Sparse Coding Sparce Modeling

08L – Self-supervised learning and variational inference
2021年08月12日 
00:32:00 - 01:07:45
@Alfredo Canziani Hi Alf, at , Yann mentioned there are dataset that the NYU students can use for their SSL project. I was wondering if it is possible to release those to students outside of NYU so that we can try them out as well? 🤔 - 08L – Self-supervised learning and variational inference

@Alfredo Canziani Hi Alf, at , Yann mentioned there are dataset that the NYU students can use for their SSL project. I was wondering if it is possible to release those to students outside of NYU so that we can try them out as well? 🤔

08L – Self-supervised learning and variational inference
2021年08月12日 
00:57:27 - 01:54:44
If this way of making features ( , 1:12:06) is so cool and more "natural" (kinda same as a brain works with visual features), why the research wasn't turned in that direction starting from 2010 when it was proposed? 🤔  I suggest there are some limitations Yann didn't mention? Or the reason is that the topic is still kinda more complex than the usual convolutions?Thanks for the vid, Alfredo and Yann 🤗 - 08L – Self-supervised learning and variational inference

If this way of making features ( , 1:12:06) is so cool and more "natural" (kinda same as a brain works with visual features), why the research wasn't turned in that direction starting from 2010 when it was proposed? 🤔 I suggest there are some limitations Yann didn't mention? Or the reason is that the topic is still kinda more complex than the usual convolutions?Thanks for the vid, Alfredo and Yann 🤗

08L – Self-supervised learning and variational inference
2021年08月12日 
00:58:55 - 01:54:44
– Regularization Through Temporal Consistency - 08L – Self-supervised learning and variational inference

– Regularization Through Temporal Consistency

08L – Self-supervised learning and variational inference
2021年08月12日 
01:07:45 - 01:12:05
at  , how do you know which parts of z to allow to vary, and which to not, exactly? How do you know which parts represent the "objects", and which parts represents the things that are changing, like the location of the objects? - 08L – Self-supervised learning and variational inference

at , how do you know which parts of z to allow to vary, and which to not, exactly? How do you know which parts represent the "objects", and which parts represents the things that are changing, like the location of the objects?

08L – Self-supervised learning and variational inference
2021年08月12日 
01:11:40 - 01:54:44
– Variational AE - 08L – Self-supervised learning and variational inference

– Variational AE

08L – Self-supervised learning and variational inference
2021年08月12日 
01:12:05 - 01:54:44

Alfredo Canziani

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Timetable

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