The Expressive Power of Neural Networks: A View from the Width

8 September 2017

Papers citing "The Expressive Power of Neural Networks: A View from the Width"

22 / 122 papers shown

Title
Neural Contextual Bandits with UCB-based Exploration Dongruo Zhou Lihong Li Quanquan Gu 36 15 0 11 Nov 2019
Stochastic Feedforward Neural Networks: Universal Approximation Thomas Merkh Guido Montúfar 17 8 0 22 Oct 2019
DirectPET: Full Size Neural Network PET Reconstruction from Sinogram Data W. Whiteley W. K. Luk J. Gregor 3DV AI4TS 29 54 0 19 Aug 2019
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks Alejandro Molina P. Schramowski Kristian Kersting ODL 23 77 0 15 Jul 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 32 122 0 23 Jun 2019
Deep Network Approximation Characterized by Number of Neurons Zuowei Shen Haizhao Yang Shijun Zhang 20 182 0 13 Jun 2019
Universal Approximation with Deep Narrow Networks Patrick Kidger Terry Lyons 29 324 0 21 May 2019
Nonlinear Approximation via Compositions Zuowei Shen Haizhao Yang Shijun Zhang 23 92 0 26 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks Asifullah Khan A. Sohail Umme Zahoora Aqsa Saeed Qureshi OOD 33 2,268 0 17 Jan 2019
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections Jian-Feng Cai Dong Li Jiaze Sun Ke Wang 14 5 0 22 Nov 2018
On a Sparse Shortcut Topology of Artificial Neural Networks Fenglei Fan Dayang Wang Hengtao Guo Qikui Zhu Pingkun Yan Ge Wang Hengyong Yu 38 22 0 22 Nov 2018
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks Difan Zou Yuan Cao Dongruo Zhou Quanquan Gu ODL 24 446 0 21 Nov 2018
Gradient Descent Finds Global Minima of Deep Neural Networks S. Du J. Lee Haochuan Li Liwei Wang M. Tomizuka ODL 35 1,122 0 09 Nov 2018
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity Chulhee Yun S. Sra Ali Jadbabaie 20 117 0 17 Oct 2018
Universal Approximation with Quadratic Deep Networks Fenglei Fan Jinjun Xiong Ge Wang PINN 15 78 0 31 Jul 2018
ResNet with one-neuron hidden layers is a Universal Approximator Hongzhou Lin Stefanie Jegelka 36 227 0 28 Jun 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min-Bin Lin Fred Hamprecht Yoshua Bengio Aaron Courville 48 1,390 0 22 Jun 2018
Learning One-hidden-layer ReLU Networks via Gradient Descent Xiao Zhang Yaodong Yu Lingxiao Wang Quanquan Gu MLT 28 134 0 20 Jun 2018
The Effect of Network Width on the Performance of Large-batch Training Lingjiao Chen Hongyi Wang Jinman Zhao Dimitris Papailiopoulos Paraschos Koutris 16 22 0 11 Jun 2018
Optimal approximation of continuous functions by very deep ReLU networks Dmitry Yarotsky 13 293 0 10 Feb 2018
The power of deeper networks for expressing natural functions David Rolnick Max Tegmark 31 174 0 16 May 2017
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016