《神經網絡：回到未來》（Neural Nets Back to the Future）

官方主頁：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

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