Schedule

Session 1
 8:30- 9:00     (invited talk) Phil Blunsom (Oxford U.): Natural Language Understanding in a Continuous Space
 9:00- 9:30     (accepted oral) Geoffrey Hinton: Distilling Knowledge in a Neural Network 
 9:30-10:00    (invited talk) Herbert Jaeger (Jacobs U. Bremen):  Connecting RNN Layers:  Bottom-up Classification united with Top-Down Control

Coffee Break  10:00 - 10:30 

Session 2
10:30-10:50     (accepted oral) Bryan Catanzaro: cuDNN: Efficient Primitives for Deep Learning
10:50-11:10     (accepted oral) Shamim Nemati: Supervised Learning in Dynamic Bayesian Networks
11:10-11:30     (accepted oral) Zhuowen Tu: Deeply-Supervised Nets 

Posters 1
11:30-14:45 

Lunch break 12:30-15:00 

Session 3
15:00-15:30     (invited talk) Rich Schwartz (BBN):  Fast and Robust Shallow Neural Networks Joint Models for Machine Translation
15:30-16:00     (invited talk) Vlad Mnih (Google DeepMind):  Deep Reinforcement Learning and REINFORCEd Deep Learning
16:00-16:30     (invited talk) Surya Ganguli (Stanford):  From statistical physics to deep learning: on the beneficial role of dynamic criticality, random landscapes, and the reversal of time.

Coffee Break  16:30 - 17:00 

Posters 2
17:00-18:30  
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