4.7k citations · 10.6k across the 33 of their papers we have counts for
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Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Yann Dauphin, Razvan Pascanu, Caglar Gulcehre +3
A central challenge to many fields of science and engineering involves minimizing non-convex error functions over continuous, high dimensional spaces. Gradient descent or quasi-New…
On the saddle point problem for non-convex optimization
Razvan Pascanu, Yann N. Dauphin, Surya Ganguli +1
A central challenge to many fields of science and engineering involves minimizing non-convex error functions over continuous, high dimensional spaces. Gradient descent or quasi-New…
Zero-Shot Learning for Semantic Utterance Classification
Yann N. Dauphin, Gokhan Tur, Dilek Hakkani-Tur +1
We propose a novel zero-shot learning method for semantic utterance classification (SUC). It learns a classifier for problems where none of the semantic categories …