Friday, March 29, 2013

Videos: 2012 IPAM Graduate Summer School: Deep Learning, Feature Learning

From Yann LeCun's feed here are the videos of last summer's IPAM's grad school:


Graduate Summer School: Deep Learning, Feature Learning

July 9 - 27, 2012

UCLA Faculty Center
480 Charles E. Young Drive
California Room

Printable Version

Monday, July 09, 2012

Morning Session

8:00 - 8:45Check-In/Breakfast (Hosted by IPAM)
8:45 - 9:00Welcome and Opening Remarks
9:00 - 10:00
10:00 - 10:30Break
10:30 - 11:30
"PART 2: Using backpropagation for fine-tuning a generative model to be better at discrimination"
Play Video
11:30 - 12:00Break
12:00 - 1:00Joint talk: James Bergstra (Harvard), Clement Farabet (NYU)
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"Deep Learning, Graphical Models, Energy-Based Models, Structured Prediction"

Play Video
3:30 - 4:00Break
4:00 - 5:00
"Deep Learning, Graphical Models, EnergyBased Models, Structured Prediction (Part 2)"
Presentation (PDF File)
Play Video
5:00 - 6:30Reception (Hosted by IPAM)

Tuesday, July 10, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"Deep Learning, Self-Taught Learning and Unsupervised Feature Learning (Part 1 Slides1-68; Part 2 Slides 69-109)"
Presentation (PDF File)
Play Video
10:00 - 10:30Break
10:30 - 11:30
"Advanced topics + Research philosophy / Neural Networks: Representation"
Presentation (PDF File)
Play Video
11:30 - 12:00Break
12:00 - 1:00
"Non-linear hypotheses"
Play Video
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"Non-linear hypotheses (Part 2)"

Play Video
3:30 - 4:00Break
4:00 - 5:00Joint talk: James Bergstra (Harvard), Clement Farabet (NYU)

Wednesday, July 11, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"Learning Hierarchies of Invariant Features (Parts 1 & 2)"
Presentation (PDF File)
Play Video
10:00 - 10:30Break
10:30 - 11:30
"Deep Learning, Graphical Models, EnergyBased Models, Structured Prediction (Part 3)"

Play Video
11:30 - 12:00Break
12:00 - 1:00Joint talk: James Bergstra (Harvard), Clement Farabet (NYU)
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"PART 3: Some applications of deep learning (Slides 1-38)"
Presentation (PDF File)
Play Video
3:30 - 4:00Break
4:00 - 5:00
"PART 4: A computational principle that explains sex, the brain, and sparse coding (Slides 39-92)"
Presentation (PDF File)
Play Video

Thursday, July 12, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"Deep Learning Methods for Vision"
Presentation (PDF File)
Play Video
10:00 - 10:30Break
10:30 - 11:30
"Deep Learning Methods for Vision (Part 2)"

Play Video
11:30 - 12:00Break
12:00 - 1:00
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"Part 1"

Play Video
3:30 - 4:00Break
4:00 - 5:00Joint talk: James Bergstra (Harvard), Clement Farabet (NYU)

Friday, July 13, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
10:00 - 10:30Break
10:30 - 11:30
11:30 - 12:00Break
12:00 - 1:00
"Part 2"

Play Video
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"Part 3"
Play Video
3:30 - 4:00Break
4:00 - 5:00
"Deep Learning, Graphical Models, EnergyBased Models, Structured Prediction (Part 4)"

Play Video

Monday, July 16, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"Part 1"
Play Video
10:00 - 10:30Break
10:30 - 11:30
"Part 2"

Play Video
11:30 - 12:00Break
12:00 - 1:00
"Some Relevant Topics in Optimization (Part 1) - (Slides Cover Parts 1 & 2)"
Presentation (PDF File)
Play Video
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"Some Relevant Topics in Optimization (Part 2)"
Play Video
3:30 - 4:00Break
4:00 - 5:00
"A tutorial on sparse modeling."
Presentation (PDF File)
Play Video
5:00 - 6:30Reception (Hosted by IPAM)

Tuesday, July 17, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"Sparse and Regularized Optimization Part 1 (Slides Cover Parts 1 & 2)"
Presentation (PDF File)
Play Video
10:00 - 10:30Break
10:30 - 11:30
"Sparse and Regularized Optimization Part 2"
Presentation (PDF File)
Play Video
11:30 - 12:00Break
12:00 - 1:00
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"Part 3"

Play Video
3:30 - 4:00Break
4:00 - 5:00
"Part 4"

Play Video

Wednesday, July 18, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"Scattering Invariant Deep Networks for Classification "
Presentation (PDF File)
Play Video
10:00 - 10:30Break
10:30 - 11:30
"Scattering Invariant Deep Networks for Classification (Part 2)"

Play Video
11:30 - 12:00Break
12:00 - 1:00
"Part 1"
Play Video
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"Part 2"

Play Video
3:30 - 4:00Break
4:00 - 5:00
"Tutorial on Optimization methods for machine learning"
Presentation (PDF File)
Play Video

Thursday, July 19, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"Tutorial on Optimization methods for machine learning (Part 2)"

Play Video
10:00 - 10:30Break
10:30 - 11:30
"Tutorial on Optimization methods for machine learning (Part 3)"

Play Video
11:30 - 2:00Lunch (on your own)

Afternoon Session

2:00 - 3:30
"Scattering Invariant Deep Networks for Classification (Part 3)"

Play Video
3:30 - 4:00Break
4:00 - 5:00
"An Algebraic Perspective on Deep Learning"
Presentation (PDF File)
Play Video

Friday, July 20, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"An Algebraic Perspective on Deep Learning (Part 2)"

Play Video
10:00 - 10:30Break
10:30 - 11:30
"An Algebraic Perspective on Deep Learning (Part 3)"

Play Video
11:30 - 12:00Break
12:00 - 1:00
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
3:30 - 4:00Break
4:00 - 5:00

Monday, July 23, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
10:00 - 10:30Break
10:30 - 11:30
11:30 - 12:00Break
12:00 - 1:00
"Deep Gated MRF's - part 1"
Presentation (PDF File)
Play Video
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"Deep Gated MRF's - part 2"
Presentation (PDF File)
Play Video
3:30 - 4:00Break
4:00 - 5:00
"Part 1"
Play Video
5:00 - 6:30Reception (Hosted by IPAM)
6:30 - 7:30

Tuesday, July 24, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"Part 2"

Play Video
10:00 - 10:30Break
10:30 - 11:30
"Part 3"

Play Video
11:30 - 12:00Break
12:00 - 1:00
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"From natural scene statistics to models of neural coding and representation (part 1)"
Presentation (PDF File)
Play Video
3:30 - 4:00Break
4:00 - 5:00
"Large Scale Deep Learning"
Presentation (PDF File)
Play Video

Wednesday, July 25, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"Deep learning in the visual cortex - Part 1"
Presentation (PDF File)
Play Video
10:00 - 10:30Break
10:30 - 11:30
"Deep learning in the visual cortex - Part 2"
Presentation (PDF File)
Play Video
11:30 - 12:00Break
12:00 - 1:00
"Multiview Feature Learning - Part 1"
Presentation (PDF File)
Play Video
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"Multiview Feature Learning - Part 2"
Presentation (PDF File)
Play Video
3:30 - 4:00Break
4:00 - 5:00
"From natural scene statistics to models of neural coding and representation (part 2)"
Presentation (PDF File)
Play Video

Thursday, July 26, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"Introduction to MCMC for deep learning"
Presentation (PDF File)
Play Video
10:00 - 10:30Break
10:30 - 11:30
11:30 - 12:00Break
12:00 - 1:00
"Part 1"
Play Video
1:00 - 2:30Lunch (on your own)

Afternoon Session

2:30 - 3:30
"Part 2"

Play Video
3:30 - 4:00Break
4:00 - 5:00
"Deep learning in the visual cortex - Part 3"
Presentation (PDF File)
Play Video

Friday, July 27, 2012

Morning Session

8:00 - 9:00Continental Breakfast
9:00 - 10:00
"An Informal Mathematical Tour of Feature Learning"
Presentation (PDF File)
Play Video
10:00 - 10:30Break
10:30 - 11:30
"Part 3"

Play Video
12:00 - 1:30Lunch (on your own)

Afternoon Session

1:30 - 2:30Panel Discussion: Nando de Freitas, Iain Murray, Bruno Olshausen, Ruslan Salakhutdinov, Roland Memisevic
2:30 - 3:00Closing Remarks by Russ Caflisch (IPAM Director)



Join the CompressiveSensing subreddit or the Google+ Community and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.

No comments:

Printfriendly