Learning with convolution and pooling operations in kernel methods

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Learning with convolution and pooling operations in kernel methods

16 November 2021

Theodor Misiakiewicz

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Papers citing "Learning with convolution and pooling operations in kernel methods"

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Title
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios Alessandro Favero Francesco Cagnetta Matthieu Wyart 79 31 0 16 Jun 2021
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 102 91 0 25 Feb 2021
Approximation and Learning with Deep Convolutional Models: a Kernel Perspective A. Bietti 81 30 0 19 Feb 2021
Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration Song Mei Theodor Misiakiewicz Andrea Montanari 91 112 0 26 Jan 2021
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods L. Thiry Michael Arbel Eugene Belilovsky Edouard Oyallon AAML 56 14 0 19 Jan 2021
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? Zhiyuan Li Yi Zhang Sanjeev Arora BDL MLT 83 39 0 16 Oct 2020
Computational Separation Between Convolutional and Fully-Connected Networks Eran Malach Shai Shalev-Shwartz 76 26 0 03 Oct 2020
When Do Neural Networks Outperform Kernel Methods? Behrooz Ghorbani Song Mei Theodor Misiakiewicz Andrea Montanari 98 189 0 24 Jun 2020
Enhanced Convolutional Neural Tangent Kernels Zhiyuan Li Ruosong Wang Dingli Yu S. Du Wei Hu Ruslan Salakhutdinov Sanjeev Arora 68 133 0 03 Nov 2019
Linearized two-layers neural networks in high dimension Behrooz Ghorbani Song Mei Theodor Misiakiewicz Andrea Montanari MLT 81 243 0 27 Apr 2019
On Lazy Training in Differentiable Programming Lénaïc Chizat Edouard Oyallon Francis R. Bach 111 840 0 19 Dec 2018
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks Difan Zou Yuan Cao Dongruo Zhou Quanquan Gu ODL 202 448 0 21 Nov 2018
Gradient Descent Provably Optimizes Over-parameterized Neural Networks S. Du Xiyu Zhai Barnabás Póczós Aarti Singh MLT ODL 236 1,276 0 04 Oct 2018
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks Julien Mairal SSL 71 130 0 20 May 2016
The spectrum of kernel random matrices N. Karoui 173 224 0 04 Jan 2010
Testing for Homogeneity with Kernel Fisher Discriminant Analysis Zaïd Harchaoui Francis R. Bach Eric Moulines 125 119 0 07 Apr 2008