Sparse-Input Neural Networks for High-dimensional Nonparametric
Regression and Classification

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Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification

21 November 2017

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Papers citing "Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification"

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Title
End-to-end Feature Selection Approach for Learning Skinny Trees Shibal Ibrahim Kayhan Behdin Rahul Mazumder 503 0 0 28 Oct 2023
Learning the Number of Neurons in Deep Networks J. Álvarez Mathieu Salzmann 182 413 0 19 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 339 4,629 0 10 Nov 2016
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 422 466 0 02 Jul 2016
Breaking the Curse of Dimensionality with Convex Neural Networks Francis R. Bach 184 706 0 30 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 468 43,658 0 17 Sep 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 397 33,529 0 16 Oct 2013
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 226 8,517 0 22 Mar 2013
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems Pinghua Gong Changshui Zhang Zhaosong Lu Jianhua Z. Huang Jieping Ye 170 404 0 18 Mar 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 356 7,942 0 13 Jun 2012
High-dimensional additive modeling L. Meier Sara van de Geer Peter Buhlmann 353 481 0 25 Jun 2008