The Power of Depth for Feedforward Neural Networks

12 December 2015

Papers citing "The Power of Depth for Feedforward Neural Networks"

50 / 367 papers shown

Title
On Architectures for Including Visual Information in Neural Language Models for Image Description Marc Tanti Albert Gatt K. Camilleri VLM 30 2 0 09 Nov 2019
Theoretical Guarantees for Model Auditing with Finite Adversaries Mario Díaz Peter Kairouz Jiachun Liao Lalitha Sankar MLAU AAML 34 2 0 08 Nov 2019
Lipschitz Constrained Parameter Initialization for Deep Transformers Hongfei Xu Qiuhui Liu Josef van Genabith Deyi Xiong Jingyi Zhang ODL 12 26 0 08 Nov 2019
ChebNet: Efficient and Stable Constructions of Deep Neural Networks with Rectified Power Units via Chebyshev Approximations Shanshan Tang Bo Li Haijun Yu 19 7 0 07 Nov 2019
Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders N. Sergin Hao Yan DRL 9 22 0 01 Nov 2019
Stochastic Feedforward Neural Networks: Universal Approximation Thomas Merkh Guido Montúfar 17 8 0 22 Oct 2019
Approximation capabilities of neural networks on unbounded domains Ming-xi Wang Yang Qu 19 19 0 21 Oct 2019
The Local Elasticity of Neural Networks Hangfeng He Weijie J. Su 40 44 0 15 Oct 2019
Dissecting Deep Neural Networks Haakon Robinson Adil Rasheed Omer San 18 11 0 09 Oct 2019
Generalization Bounds for Convolutional Neural Networks Shan Lin Jingwei Zhang MLT 17 34 0 03 Oct 2019
Full error analysis for the training of deep neural networks C. Beck Arnulf Jentzen Benno Kuckuck 14 47 0 30 Sep 2019
Bifurcation Spiking Neural Network Shao-Qun Zhang Zhao-Yu Zhang Zhi-Hua Zhou 19 8 0 18 Sep 2019
Optimal Function Approximation with Relu Neural Networks Bo Liu Yi Liang 25 33 0 09 Sep 2019
Port-Hamiltonian Approach to Neural Network Training Stefano Massaroli Michael Poli Federico Califano Angela Faragasso Jinkyoo Park Atsushi Yamashita Hajime Asama 21 14 0 06 Sep 2019
On the rate of convergence of fully connected very deep neural network regression estimates Michael Kohler S. Langer 17 40 0 29 Aug 2019
Automated Architecture Design for Deep Neural Networks Steven Abreu 3DV AI4CE 12 16 0 22 Aug 2019
Fast generalization error bound of deep learning without scale invariance of activation functions Y. Terada Ryoma Hirose MLT 11 6 0 25 Jul 2019
A Fine-Grained Spectral Perspective on Neural Networks Greg Yang Hadi Salman 30 110 0 24 Jul 2019
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology Nima Dehmamy Albert-László Barabási Rose Yu GNN 30 132 0 11 Jul 2019
On Symmetry and Initialization for Neural Networks Ido Nachum Amir Yehudayoff MLT 28 5 0 01 Jul 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 35 122 0 23 Jun 2019
The phase diagram of approximation rates for deep neural networks Dmitry Yarotsky Anton Zhevnerchuk 22 121 0 22 Jun 2019
Approximation power of random neural networks Bolton Bailey Ziwei Ji Matus Telgarsky Ruicheng Xian 18 6 0 18 Jun 2019
Interpretations of Deep Learning by Forests and Haar Wavelets Changcun Huang FAtt 11 0 0 16 Jun 2019
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators Sheng-Wei Chen Xu Wang Chao Chen Yifan Lu Xijin Zhang Linfu Wen 24 2 0 12 Jun 2019
Deep Compositional Spatial Models A. Zammit‐Mangion T. L. J. Ng Quan Vu Maurizio Filippone 28 55 0 06 Jun 2019
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 9 541 0 06 Jun 2019
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies Ronen Basri David Jacobs Yoni Kasten S. Kritchman 8 215 0 02 Jun 2019
Function approximation by deep networks H. Mhaskar T. Poggio 27 23 0 30 May 2019
Expression of Fractals Through Neural Network Functions Nadav Dym B. Sober Ingrid Daubechies 13 14 0 27 May 2019
Tucker Decomposition Network: Expressive Power and Comparison Ye Liu Junjun Pan Michael K. Ng 24 1 0 23 May 2019
Approximation spaces of deep neural networks Rémi Gribonval Gitta Kutyniok M. Nielsen Felix Voigtländer 13 124 0 03 May 2019
Stability and Generalization of Graph Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN MLT 30 153 0 03 May 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 11 36 0 16 Apr 2019
Depth Separations in Neural Networks: What is Actually Being Separated? Itay Safran Ronen Eldan Ohad Shamir MDE 19 35 0 15 Apr 2019
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent Karthik A. Sankararaman Soham De Zheng Xu Yifan Jiang Tom Goldstein ODL 24 103 0 15 Apr 2019
The coupling effect of Lipschitz regularization in deep neural networks Nicolas P. Couellan 14 5 0 12 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 36 136 0 10 Apr 2019
Deep Clustering With Intra-class Distance Constraint for Hyperspectral Images Jinguang Sun Wanli Wang Xian Wei Li Fang Xiaoliang Tang Yusheng Xu Hui Yu W. Yao 4 19 0 01 Apr 2019
Is Deeper Better only when Shallow is Good? Eran Malach Shai Shalev-Shwartz 28 45 0 08 Mar 2019
Limiting Network Size within Finite Bounds for Optimization Linu Pinto Sasi Gopalan 19 2 0 07 Mar 2019
Universal approximations of permutation invariant/equivariant functions by deep neural networks Akiyoshi Sannai Yuuki Takai Matthieu Cordonnier 29 67 0 05 Mar 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions Belinda Tzen Maxim Raginsky DiffM 15 99 0 05 Mar 2019
A lattice-based approach to the expressivity of deep ReLU neural networks V. Corlay J. Boutros P. Ciblat L. Brunel 13 4 0 28 Feb 2019
Efficient Deep Learning of GMMs S. Jalali C. Nuzman I. Saniee VLM 20 4 0 15 Feb 2019
A simple and efficient architecture for trainable activation functions Andrea Apicella Francesco Isgrò R. Prevete 6 36 0 08 Feb 2019
On the CVP for the root lattices via folding with deep ReLU neural networks V. Corlay J. Boutros P. Ciblat L. Brunel 12 2 0 06 Feb 2019
Are All Layers Created Equal? Chiyuan Zhang Samy Bengio Y. Singer 20 140 0 06 Feb 2019
Optimal Nonparametric Inference via Deep Neural Network Ruiqi Liu B. Boukai Zuofeng Shang 18 18 0 05 Feb 2019
Complexity of Linear Regions in Deep Networks Boris Hanin David Rolnick 4 224 0 25 Jan 2019