A Polynomial-Based Approach for Architectural Design and Learning with Deep Neural Networks

24 May 2019

Papers citing "A Polynomial-Based Approach for Architectural Design and Learning with Deep Neural Networks"

8 / 8 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 221 30,089 0 01 Mar 2022
How to Start Training: The Effect of Initialization and Architecture Boris Hanin David Rolnick 55 255 0 05 Mar 2018
The Expressive Power of Neural Networks: A View from the Width Zhou Lu Hongming Pu Feicheng Wang Zhiqiang Hu Liwei Wang 94 892 0 08 Sep 2017
Why Deep Neural Networks for Function Approximation? Shiyu Liang R. Srikant 101 385 0 13 Oct 2016
Error bounds for approximations with deep ReLU networks Dmitry Yarotsky 169 1,226 0 03 Oct 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 71 4,163 0 25 Apr 2016
Benefits of depth in neural networks Matus Telgarsky 324 608 0 14 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014