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Invariant Scattering Convolution Networks
5 March 2012
Joan Bruna
S. Mallat
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Papers citing
"Invariant Scattering Convolution Networks"
50 / 490 papers shown
Title
Deep Haar Scattering Networks in Pattern Recognition: A promising approach
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Excessive Invariance Causes Adversarial Vulnerability
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Jens Behrmann
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Matthias Bethge
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A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model
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Multi-scale Geometric Summaries for Similarity-based Sensor Fusion
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Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Roman Novak
Lechao Xiao
Jaehoon Lee
Yasaman Bahri
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Daniel A. Abolafia
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
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121
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11 Oct 2018
Geometric Scattering for Graph Data Analysis
Feng Gao
Guy Wolf
M. Hirn
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Encoding Robust Representation for Graph Generation
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Compressing the Input for CNNs with the First-Order Scattering Transform
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Eugene Belilovsky
Sergey Zagoruyko
Michal Valko
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25
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27 Sep 2018
Scattering Networks for Hybrid Representation Learning
Edouard Oyallon
Sergey Zagoruyko
Gabriel Huang
N. Komodakis
Simon Lacoste-Julien
Matthew Blaschko
Eugene Belilovsky
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17 Sep 2018
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Jose J. Bouza
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Isometric Transformation Invariant Graph-based Deep Neural Network
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A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification
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Yizhou Sun
Bing Xue
Mengjie Zhang
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20 Aug 2018
On Lipschitz Bounds of General Convolutional Neural Networks
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R. Balan
Maneesh Kumar Singh
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Generalization Error in Deep Learning
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Raja Giryes
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AI4CE
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HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
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Nicolas Thome
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An Algorithm for Learning Shape and Appearance Models without Annotations
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Mikael Brudfors
Kevin Bronik
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Scaled Simplex Representation for Subspace Clustering
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Mengyang Yu
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Joint Time-Frequency Scattering
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Vincent Lostanlen
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Fractional Wavelet Scattering Network and Applications
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Dengwang Li
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Diffusion Scattering Transforms on Graphs
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Alejandro Ribeiro
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SN Omkar
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Interpreting Deep Learning: The Machine Learning Rorschach Test?
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Adversarial Examples in Remote Sensing
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Adversarially Robust Training through Structured Gradient Regularization
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Aurelien Lucchi
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Generative networks as inverse problems with Scattering transforms
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Richard Baraniuk
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Monotone Learning with Rectified Wire Networks
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SHADE: Information Based Regularization for Deep Learning
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Matthieu Cord
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Universal approximations of invariant maps by neural networks
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126
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CubeNet: Equivariance to 3D Rotation and Translation
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Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs
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Neil C. Rabinowitz
Ari S. Morcos
Daniel Zoran
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12 Apr 2018
Feature selection in weakly coherent matrices
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Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification
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MIMO Graph Filters for Convolutional Neural Networks
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Ke Sun
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The Role of Information Complexity and Randomization in Representation Learning
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Pablo Piantanida
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Qiwei Xie
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