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The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels
  Methods

The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods

19 January 2021
L. Thiry
Michael Arbel
Eugene Belilovsky
Edouard Oyallon
    AAML
ArXivPDFHTML

Papers citing "The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods"

5 / 5 papers shown
Title
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Yubei Chen
Zeyu Yun
Yi Ma
Bruno A. Olshausen
Yann LeCun
54
8
0
30 Sep 2022
Stacked unsupervised learning with a network architecture found by
  supervised meta-learning
Stacked unsupervised learning with a network architecture found by supervised meta-learning
Kyle L. Luther
H. S. Seung
SSL
27
0
0
06 Jun 2022
Learning with convolution and pooling operations in kernel methods
Learning with convolution and pooling operations in kernel methods
Theodor Misiakiewicz
Song Mei
MLT
20
29
0
16 Nov 2021
A Generative Model for Texture Synthesis based on Optimal Transport
  between Feature Distributions
A Generative Model for Texture Synthesis based on Optimal Transport between Feature Distributions
Antoine Houdard
Arthur Leclaire
Nicolas Papadakis
Julien Rabin
OT
DiffM
22
23
0
19 Jun 2020
Convex Geometry and Duality of Over-parameterized Neural Networks
Convex Geometry and Duality of Over-parameterized Neural Networks
Tolga Ergen
Mert Pilanci
MLT
47
54
0
25 Feb 2020
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