《神经网络：回到未来》（Neural Nets Back to the Future）-ICML 2016

《神经网络：回到未来》（Neural Nets Back to the Future）

官方主页：Neural Nets Back to the Future @ ICML 16 June 23rd 2016 at Crowne Plaza in NYC

Workshop Schedule

08:20 am Welcome and Introduction

08:30 am Larry Jackel - Machine Learning and Neural Nets at Bell Labs, Holmdel North-C, Toyota Research Institute, NVIDIA video 09:15 am Gerry Tesauro - On TD-Learning and links with DeePRL in Atari and AlphaGo IBM Research video 10:00 Coffee Break

10:30 am Yoshua Bengio - Learning Long-Term Dependencies with Gradient Descent is Difficult University of Montréal video 10:50 am C. Lee Giles - Recurrent Neural Networks: State Machines and Pushdown Automata Penn State University video 11:30 am Panel discussion with Yoshua Bengio, C. Lee Giles and Tomas Mikolov

12:00 Lunch Break

01:30 pm Patrice Simard - Backpropagation without Multiplication Microsoft Research, Redmond video 01:50 pm Yann Dauphin - Tangent Propagation Facebook AI Research, Menlo Park video 02:10 pm John Platt - Let your Network Grow Google Research, Seattle video 02:30 pm Panel with Yann LeCun, Patrice Simard and John Platt video 03:00 pm Coffee Break

03:30 pm Barak Pearlmutter - Automatic Differentiation versus Back-Propagation: The Human Touch Maynooth University, Ireland video 04:10pm Leon Bottou - Graph Transformer Networks Facebook AI Research, NYC video

Important Dates

June 23rd Workshop Day

Organizers Léon Bottou (leonb@1, Facebook)

David Grangier (grangier@1, Facebook)

Tomas Mikolov (tmikolov@1, Facebook)

John Platt (platt@2, Google) where 1=fb.com and 2=google.com

Acknowledgements

We are thankful to our speakers, and our program committee (Michael Auli, Ronan Collobert, Yann Dauphin, Marc’Aurelio Ranzato).

Photo Credit: Garry Knight