Schedule

 7:30 - 7:45 Welcome
 7:45 - 8:15 New insights on parameter estimation
Nando de Freitas (University of Oxford)
 8:15 - 8:45  A PAC-Bayesian Analysis of Dropouts
David McAllester (Toyota Technological Institute)
 8:45 - 9:15 Two architectures for one-shot learning
Josh Tenenbaum (Massachusetts Institute of Technology)
   
 9:15 - 9:40 Coffee Break
   
 9:40 - 10:00 Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis, Antonoglou, Daan Wierstra, Martin Riedmiller (DeepMind Technologies)
 10:00 - 10:30 Panel Discussion
[Nando de Freitas, David McAllester, Josh Tenenbaum]
   
 10:30 - 11:30 Poster session
   
 11:30 - 15:00 Lunch
 
 15:00 - 15:30

 
Q&A with Mark Zuckerberg (Facebook)
 15:30 - 16:00 Natural Language Parsing With Compositional Vector Grammars
Chris Manning (Stanford University)
 16:00 - 16:30 Learning Representations of Text using Neural Networks
Tomas Mikolov (Google)
 16:30 - 17:00 Visualizing and Understanding Convolutional Neural Networks
Matt Zeiler (New York University)
   
 17:00 - 17:40 Coffee Break
   
 17:40 - 18:00 Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction
Jian Zhou, Olga Troyanskaya (Princeton University)
 18:00 - 18:30 Panel Discussion
[Mark Zuckerberg, Chris Manning, Tomas Mikolov, Matt Zeiler]