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Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery

5 August 2019

Papers citing "Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery"

35 / 35 papers shown

Title
The Exploration of Error Bounds in Classification with Noisy Labels Haixia Liu Boxiao Li Can Yang Yang Wang NoLa 169 0 0 25 Jan 2025
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 103 1 0 12 Oct 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 301 30,152 0 01 Mar 2022
Multiscale regression on unknown manifolds Wenjing Liao Mauro Maggioni Stefano Vigogna 56 9 0 13 Jan 2021
A deep network construction that adapts to intrinsic dimensionality beyond the domain A. Cloninger T. Klock AI4CE 72 14 0 06 Aug 2020
Deep ReLU network approximation of functions on a manifold Johannes Schmidt-Hieber 103 95 0 02 Aug 2019
Smooth function approximation by deep neural networks with general activation functions Ilsang Ohn Yongdai Kim 62 80 0 17 Jun 2019
Deep Network Approximation Characterized by Number of Neurons Zuowei Shen Haizhao Yang Shijun Zhang 64 186 0 13 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 189 18,224 0 28 May 2019
Nonlinear Approximation and (Deep) ReLU Networks Ingrid Daubechies Ronald A. DeVore S. Foucart Boris Hanin G. Petrova 110 143 0 05 May 2019
$Error bounds for approximations with deep ReLU neural networks in $W^{s,p}$ norms$ Error bounds for approximations with deep ReLU neural networks in $W^{s,p}$ norms Ingo Gühring Gitta Kutyniok P. Petersen 93 200 0 21 Feb 2019
Fast convergence rates of deep neural networks for classification Yongdai Kim Ilsang Ohn Dongha Kim 3DH 3DV 69 81 0 10 Dec 2018
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality Taiji Suzuki 193 246 0 18 Oct 2018
Universality of Deep Convolutional Neural Networks Ding-Xuan Zhou HAI PINN 420 517 0 28 May 2018
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization Sanjeev Arora Nadav Cohen Elad Hazan 120 487 0 19 Feb 2018
The Expressive Power of Neural Networks: A View from the Width Zhou Lu Hongming Pu Feicheng Wang Zhiqiang Hu Liwei Wang 102 899 0 08 Sep 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,605 0 05 Sep 2017
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 242 816 0 22 Aug 2017
Recent Trends in Deep Learning Based Natural Language Processing Tom Young Devamanyu Hazarika Soujanya Poria Min Zhang 83 2,838 0 09 Aug 2017
Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations Boris Hanin 73 356 0 09 Aug 2017
Estimating the Reach of a Manifold Eddie Aamari Jisu Kim Frédéric Chazal Bertrand Michel Alessandro Rinaldo Larry Wasserman LM-Orsay 126 105 0 12 May 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 356 4,636 0 10 Nov 2016
Error bounds for approximations with deep ReLU networks Dmitry Yarotsky 207 1,236 0 03 Oct 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 118 1,484 0 03 Oct 2016
Deep nets for local manifold learning C. Chui H. Mhaskar 68 62 0 24 Jul 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 760 37,927 0 20 May 2016
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper ... Chong-Jun Wang Bo Xiao Dani Yogatama J. Zhan Zhenyao Zhu 146 2,976 0 08 Dec 2015
Provable approximation properties for deep neural networks Uri Shaham A. Cloninger Ronald R. Coifman 185 231 0 24 Sep 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 587 27,345 0 01 Sep 2014
Minimax-optimal nonparametric regression in high dimensions Yun Yang S. Tokdar 104 93 0 28 Jan 2014
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 230 8,529 0 22 Mar 2013
Local Linear Regression on Manifolds and its Geometric Interpretation Ming-Yen Cheng Hau‐Tieng Wu 102 89 0 01 Jan 2012
k-NN Regression Adapts to Local Intrinsic Dimension Samory Kpotufe 387 129 0 19 Oct 2011
Local polynomial regression on unknown manifolds Peter J. Bickel Bo Li 275 130 0 07 Aug 2007