Neural Network Architecture Optimization through Submodularity and Supermodularity

1 September 2016

Papers citing "Neural Network Architecture Optimization through Submodularity and Supermodularity"

11 / 11 papers shown

Title
Optimizing Recurrent Neural Networks Architectures under Time Constraints Junqi Jin Ziang Yan Kun Fu Nan Jiang Changshui Zhang 45 2 0 29 Aug 2016
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 89 1,043 0 19 Feb 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 223 945 0 11 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 438 43,635 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications Rishabh K. Iyer J. Bilmes 56 156 0 09 Aug 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 269 14,707 0 20 Jun 2014
Input Warping for Bayesian Optimization of Non-stationary Functions Jasper Snoek Kevin Swersky R. Zemel Ryan P. Adams 83 238 0 05 Feb 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 291 6,274 0 16 Dec 2013
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints Rishabh K. Iyer J. Bilmes 78 259 0 08 Nov 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 344 7,934 0 13 Jun 2012