Approximating Continuous Functions by ReLU Nets of Minimal Width

31 October 2017

Papers citing "Approximating Continuous Functions by ReLU Nets of Minimal Width"

8 / 58 papers shown

Title
ResNet with one-neuron hidden layers is a Universal Approximator Hongzhou Lin Stefanie Jegelka 43 227 0 28 Jun 2018
Learning One-hidden-layer ReLU Networks via Gradient Descent Xiao Zhang Yaodong Yu Lingxiao Wang Quanquan Gu MLT 30 134 0 20 Jun 2018
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond Xingguo Li Junwei Lu Zhaoran Wang Jarvis Haupt T. Zhao 27 78 0 13 Jun 2018
Mad Max: Affine Spline Insights into Deep Learning Randall Balestriero Richard Baraniuk AI4CE 31 78 0 17 May 2018
Optimal approximation of continuous functions by very deep ReLU networks Dmitry Yarotsky 27 294 0 10 Feb 2018
The power of deeper networks for expressing natural functions David Rolnick Max Tegmark 36 174 0 16 May 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,748 0 26 Sep 2016
Benefits of depth in neural networks Matus Telgarsky 153 603 0 14 Feb 2016