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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)



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