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 - 8:45	Check-In/Breakfast (Hosted by IPAM)
8:45 - 9:00	Welcome and Opening Remarks
9:00 - 10:00	Geoffrey Hinton (University of Toronto) "PART 1: Introduction to Deep Learning & Deep Belief Nets (PDF Parts 1 & 2)"  Presentation (PDF File) Play Video
10:00 - 10:30	Break
10:30 - 11:30	Geoffrey Hinton (University of Toronto) "PART 2: Using backpropagation for fine-tuning a generative model to be better at discrimination" Play Video
11:30 - 12:00	Break
12:00 - 1:00	Joint talk: James Bergstra (Harvard), Clement Farabet (NYU)
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Yann LeCun (New York University) "Deep Learning, Graphical Models, Energy-Based Models, Structured Prediction" Play Video
3:30 - 4:00	Break
4:00 - 5:00	Yann LeCun (New York University) "Deep Learning, Graphical Models, EnergyBased Models, Structured Prediction (Part 2)" Presentation (PDF File) Play Video
5:00 - 6:30	Reception (Hosted by IPAM)
Tuesday, July 10, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Andrew Ng (Stanford University) "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 - 10:30	Break
10:30 - 11:30	Andrew Ng (Stanford University) "Advanced topics + Research philosophy / Neural Networks: Representation" Presentation (PDF File) Play Video
11:30 - 12:00	Break
12:00 - 1:00	Andrew Ng (Stanford University) "Non-linear hypotheses" Play Video
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Andrew Ng (Stanford University) "Non-linear hypotheses (Part 2)" Play Video
3:30 - 4:00	Break
4:00 - 5:00	Joint talk: James Bergstra (Harvard), Clement Farabet (NYU)
Wednesday, July 11, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Yann LeCun (New York University) "Learning Hierarchies of Invariant Features (Parts 1 & 2)" Presentation (PDF File) Play Video
10:00 - 10:30	Break
10:30 - 11:30	Yann LeCun (New York University) "Deep Learning, Graphical Models, EnergyBased Models, Structured Prediction (Part 3)" Play Video
11:30 - 12:00	Break
12:00 - 1:00	Joint talk: James Bergstra (Harvard), Clement Farabet (NYU)
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Geoffrey Hinton (University of Toronto) "PART 3: Some applications of deep learning (Slides 1-38)" Presentation (PDF File) Play Video
3:30 - 4:00	Break
4:00 - 5:00	Geoffrey Hinton (University of Toronto) "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 - 9:00	Continental Breakfast
9:00 - 10:00	Rob Fergus (New York University) "Deep Learning Methods for Vision" Presentation (PDF File) Play Video
10:00 - 10:30	Break
10:30 - 11:30	Rob Fergus (New York University) "Deep Learning Methods for Vision (Part 2)" Play Video
11:30 - 12:00	Break
12:00 - 1:00	Geoffrey Hinton (University of Toronto)   Presentation (PDF File) Play Video
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Alan Yuille (University of California, Los Angeles (UCLA)) "Part 1" Play Video
3:30 - 4:00	Break
4:00 - 5:00	Joint talk: James Bergstra (Harvard), Clement Farabet (NYU)
Friday, July 13, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Graham Taylor (University of Guelph)   Presentation (PDF File) Play Video
10:00 - 10:30	Break
10:30 - 11:30	Graham Taylor (University of Guelph)   Presentation (PDF File) Play Video
11:30 - 12:00	Break
12:00 - 1:00	Alan Yuille (University of California, Los Angeles (UCLA)) "Part 2" Play Video
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Alan Yuille (University of California, Los Angeles (UCLA)) "Part 3" Play Video
3:30 - 4:00	Break
4:00 - 5:00	Yann LeCun (New York University) "Deep Learning, Graphical Models, EnergyBased Models, Structured Prediction (Part 4)" Play Video
Monday, July 16, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Yoshua Bengio (University of Montreal) "Part 1" Play Video
10:00 - 10:30	Break
10:30 - 11:30	Yoshua Bengio (University of Montreal) "Part 2" Play Video
11:30 - 12:00	Break
12:00 - 1:00	Stephen Wright (University of Wisconsin-Madison) "Some Relevant Topics in Optimization (Part 1) - (Slides Cover Parts 1 & 2)" Presentation (PDF File) Play Video
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Stephen Wright (University of Wisconsin-Madison) "Some Relevant Topics in Optimization (Part 2)" Play Video
3:30 - 4:00	Break
4:00 - 5:00	Arthur Szlam (New York University) "A tutorial on sparse modeling." Presentation (PDF File) Play Video
5:00 - 6:30	Reception (Hosted by IPAM)
Tuesday, July 17, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Stephen Wright (University of Wisconsin-Madison) "Sparse and Regularized Optimization Part 1 (Slides Cover Parts 1 & 2)" Presentation (PDF File) Play Video
10:00 - 10:30	Break
10:30 - 11:30	Stephen Wright (University of Wisconsin-Madison) "Sparse and Regularized Optimization Part 2" Presentation (PDF File) Play Video
11:30 - 12:00	Break
12:00 - 1:00	Arthur Szlam (New York University)   Play Video
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Yoshua Bengio (University of Montreal) "Part 3" Play Video
3:30 - 4:00	Break
4:00 - 5:00	Yoshua Bengio (University of Montreal) "Part 4" Play Video
Wednesday, July 18, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Stéphane Mallat (École Polytechnique) "Scattering Invariant Deep Networks for Classification " Presentation (PDF File) Play Video
10:00 - 10:30	Break
10:30 - 11:30	Stéphane Mallat (École Polytechnique) "Scattering Invariant Deep Networks for Classification (Part 2)" Play Video
11:30 - 12:00	Break
12:00 - 1:00	Kai Yu (Baidu Inc.) "Part 1" Play Video
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Kai Yu (Baidu Inc.) "Part 2" Play Video
3:30 - 4:00	Break
4:00 - 5:00	Jorge Nocedal (Northwestern University) "Tutorial on Optimization methods for machine learning" Presentation (PDF File) Play Video
Thursday, July 19, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Jorge Nocedal (Northwestern University) "Tutorial on Optimization methods for machine learning (Part 2)" Play Video
10:00 - 10:30	Break
10:30 - 11:30	Jorge Nocedal (Northwestern University) "Tutorial on Optimization methods for machine learning (Part 3)" Play Video
11:30 - 2:00	Lunch (on your own)
Afternoon Session
2:00 - 3:30	Stéphane Mallat (École Polytechnique) "Scattering Invariant Deep Networks for Classification (Part 3)" Play Video
3:30 - 4:00	Break
4:00 - 5:00	Jason Morton (Pennsylvania State University) "An Algebraic Perspective on Deep Learning" Presentation (PDF File) Play Video
Friday, July 20, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Jason Morton (Pennsylvania State University) "An Algebraic Perspective on Deep Learning (Part 2)" Play Video
10:00 - 10:30	Break
10:30 - 11:30	Jason Morton (Pennsylvania State University) "An Algebraic Perspective on Deep Learning (Part 3)" Play Video
11:30 - 12:00	Break
12:00 - 1:00	Yoshua Bengio (University of Montreal)   Play Video
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Stanley Osher (University of California, Los Angeles (UCLA))   Play Video
3:30 - 4:00	Break
4:00 - 5:00	Stanley Osher (University of California, Los Angeles (UCLA))   Play Video
Monday, July 23, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Ruslan Salakhutdinov (University of Toronto)   Presentation (PDF File) Play Video
10:00 - 10:30	Break
10:30 - 11:30	Ruslan Salakhutdinov (University of Toronto)   Presentation (PDF File) Play Video
11:30 - 12:00	Break
12:00 - 1:00	Marc'Aurelio Ranzato (Google Inc.) "Deep Gated MRF's - part 1" Presentation (PDF File) Play Video
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Marc'Aurelio Ranzato (Google Inc.) "Deep Gated MRF's - part 2" Presentation (PDF File) Play Video
3:30 - 4:00	Break
4:00 - 5:00	Jason Weston (Google Research) "Part 1" Play Video
5:00 - 6:30	Reception (Hosted by IPAM)
6:30 - 7:30	Brian Milch (Google Inc.) "From Text to Concepts at Google"
Tuesday, July 24, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Jason Weston (Google Research) "Part 2" Play Video
10:00 - 10:30	Break
10:30 - 11:30	Jason Weston (Google Research) "Part 3" Play Video
11:30 - 12:00	Break
12:00 - 1:00	Ruslan Salakhutdinov (University of Toronto)   Presentation (PDF File) Play Video
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Bruno Olshausen (University of California, Berkeley (UC Berkeley)) "From natural scene statistics to models of neural coding and representation (part 1)" Presentation (PDF File) Play Video
3:30 - 4:00	Break
4:00 - 5:00	Marc'Aurelio Ranzato (Google Inc.) "Large Scale Deep Learning" Presentation (PDF File) Play Video
Wednesday, July 25, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Thomas Serre (Brown University) "Deep learning in the visual cortex - Part 1" Presentation (PDF File) Play Video
10:00 - 10:30	Break
10:30 - 11:30	Thomas Serre (Brown University) "Deep learning in the visual cortex - Part 2" Presentation (PDF File) Play Video
11:30 - 12:00	Break
12:00 - 1:00	Roland Memisevic (Johann Wolfgang Goethe-Universität Frankfurt) "Multiview Feature Learning - Part 1" Presentation (PDF File) Play Video
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Roland Memisevic (Johann Wolfgang Goethe-Universität Frankfurt) "Multiview Feature Learning - Part 2" Presentation (PDF File) Play Video
3:30 - 4:00	Break
4:00 - 5:00	Bruno Olshausen (University of California, Berkeley (UC Berkeley)) "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 - 9:00	Continental Breakfast
9:00 - 10:00	Iain Murray (University of Edinburgh) "Introduction to MCMC for deep learning" Presentation (PDF File) Play Video
10:00 - 10:30	Break
10:30 - 11:30	Iain Murray (University of Edinburgh) "Density estimation" Presentation (PDF File) Play Video
11:30 - 12:00	Break
12:00 - 1:00	Nando de Freitas (University of British Columbia) "Part 1" Play Video
1:00 - 2:30	Lunch (on your own)
Afternoon Session
2:30 - 3:30	Nando de Freitas (University of British Columbia) "Part 2" Play Video
3:30 - 4:00	Break
4:00 - 5:00	Thomas Serre (Brown University) "Deep learning in the visual cortex - Part 3" Presentation (PDF File) Play Video
Friday, July 27, 2012
Morning Session
8:00 - 9:00	Continental Breakfast
9:00 - 10:00	Nando de Freitas (University of British Columbia) "An Informal Mathematical Tour of Feature Learning" Presentation (PDF File) Play Video
10:00 - 10:30	Break
10:30 - 11:30	Nando de Freitas (University of British Columbia) "Part 3" Play Video
12:00 - 1:30	Lunch (on your own)
Afternoon Session
1:30 - 2:30	Panel Discussion: Nando de Freitas, Iain Murray, Bruno Olshausen, Ruslan Salakhutdinov, Roland Memisevic
2:30 - 3:00	Closing Remarks by Russ Caflisch (IPAM Director)

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