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Group Equivariant Convolutional Networks
v1v2v3 (latest)

Group Equivariant Convolutional Networks

24 February 2016
Taco S. Cohen
Max Welling
    BDL
ArXiv (abs)PDFHTML

Papers citing "Group Equivariant Convolutional Networks"

50 / 1,262 papers shown
Real-Time, Highly Accurate Robotic Grasp Detection using Fully
  Convolutional Neural Network with Rotation Ensemble Module
Real-Time, Highly Accurate Robotic Grasp Detection using Fully Convolutional Neural Network with Rotation Ensemble Module
Dongwon Park
Yonghyeok Seo
S. Chun
156
3
0
19 Dec 2018
Multi-Dimensional Scaling on Groups
Multi-Dimensional Scaling on Groups
Mark Blumstein
Henry Kvinge
140
3
0
08 Dec 2018
Cross-Domain 3D Equivariant Image Embeddings
Cross-Domain 3D Equivariant Image Embeddings
Carlos Esteves
Avneesh Sud
Zhengyi Luo
Kostas Daniilidis
A. Makadia
3DPC
193
23
0
06 Dec 2018
Towards a Definition of Disentangled Representations
Towards a Definition of Disentangled Representations
I. Higgins
David Amos
David Pfau
S. Racanière
Loic Matthey
Danilo Jimenez Rezende
Alexander Lerchner
OCLDRL
432
514
0
05 Dec 2018
Measure, Manifold, Learning, and Optimization: A Theory Of Neural
  Networks
Measure, Manifold, Learning, and Optimization: A Theory Of Neural Networks
Shuai Li
179
2
0
30 Nov 2018
Quantizing Euclidean motions via double-coset decomposition
Quantizing Euclidean motions via double-coset decomposition
C. Wülker
Gregory Chirikjian
77
9
0
28 Nov 2018
Steerable Wavelet Scattering for 3D Atomic Systems with Application to
  Li-Si Energy Prediction
Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction
Xavier Brumwell
Paul Sinz
K. Kim
Y. Qi
M. Hirn
114
8
0
21 Nov 2018
Multi-layer Pruning Framework for Compressing Single Shot MultiBox
  Detector
Multi-layer Pruning Framework for Compressing Single Shot MultiBox DetectorIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2018
Pravendra Singh
Manikandan Ravikiran
Neeraj Matiyali
Vinay P. Namboodiri
166
22
0
20 Nov 2018
Stochastic Deep Networks
Stochastic Deep NetworksInternational Conference on Machine Learning (ICML), 2018
Gwendoline de Bie
Gabriel Peyré
Marco Cuturi
256
24
0
19 Nov 2018
DeepConsensus: using the consensus of features from multiple layers to
  attain robust image classification
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification
Yuchen Li
Safwan Hossain
Kiarash Jamali
Frank Rudzicz
77
1
0
18 Nov 2018
Symmetry constrained machine learning
Symmetry constrained machine learningIntelligent Systems with Applications (ISA), 2018
D. Bergman
127
11
0
16 Nov 2018
VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud
  Segmentation
VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation
Hsien-Yu Meng
Lin Gao
Yu-kun Lai
Tianyi Zhou
3DPCDRL
156
255
0
11 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLTAI4CE
565
343
0
05 Nov 2018
The Effect of Learning Strategy versus Inherent Architecture Properties
  on the Ability of Convolutional Neural Networks to Develop Transformation
  Invariance
The Effect of Learning Strategy versus Inherent Architecture Properties on the Ability of Convolutional Neural Networks to Develop Transformation Invariance
Megha Srivastava
K. Grill-Spector
AAMLOOD
100
7
0
31 Oct 2018
Rotational 3D Texture Classification Using Group Equivariant CNNs
Rotational 3D Texture Classification Using Group Equivariant CNNs
Vincent Andrearczyk
Adrien Depeursinge
127
12
0
16 Oct 2018
Pose Estimation for Objects with Rotational Symmetry
Pose Estimation for Objects with Rotational Symmetry
Enric Corona
Kaustav Kundu
Sanja Fidler
168
44
0
13 Oct 2018
Bayesian Deep Convolutional Networks with Many Channels are Gaussian
  Processes
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Roman Novak
Lechao Xiao
Jaehoon Lee
Yasaman Bahri
Greg Yang
Jiri Hron
Daniel A. Abolafia
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
UQCVBDL
354
325
0
11 Oct 2018
Learning Compressed Transforms with Low Displacement Rank
Learning Compressed Transforms with Low Displacement Rank
Anna T. Thomas
Albert Gu
Tri Dao
Atri Rudra
Christopher Ré
358
43
0
04 Oct 2018
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image
  Transformation
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation
Mauricio Orbes-Arteaga
Lauge Sørensen
M. Jorge Cardoso
Marc Modat
Sebastien Ourselin
Stefan Sommer
Mads Nielsen
Christian Igel
A. Pai
DiffMMedIm
126
3
0
03 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILMAAML
253
50
0
02 Oct 2018
A rotation-equivariant convolutional neural network model of primary
  visual cortex
A rotation-equivariant convolutional neural network model of primary visual cortexInternational Conference on Learning Representations (ICLR), 2018
Alexander S. Ecker
Fabian H. Sinz
E. Froudarakis
Paul G. Fahey
Santiago A. Cadena
Edgar Y. Walker
Erick Cobos
Jacob Reimer
A. Tolias
Matthias Bethge
188
58
0
27 Sep 2018
ManifoldNet: A Deep Network Framework for Manifold-valued Data
ManifoldNet: A Deep Network Framework for Manifold-valued Data
Rudrasis Chakraborty
Jose J. Bouza
J. Manton
B. Vemuri
221
17
0
11 Sep 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
Chuhan Min
Aosen Wang
Yiran Chen
Wenyao Xu
Xin Chen
179
41
0
06 Sep 2018
Discriminative Learning of Similarity and Group Equivariant
  Representations
Discriminative Learning of Similarity and Group Equivariant Representations
Shubhendu Trivedi
158
1
0
30 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network
Isometric Transformation Invariant Graph-based Deep Neural Network
Renata Khasanova
P. Frossard
108
3
0
21 Aug 2018
Learning Invariances using the Marginal Likelihood
Learning Invariances using the Marginal Likelihood
Mark van der Wilk
Matthias Bauer
S. T. John
J. Hensman
207
92
0
16 Aug 2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent
  Self-ensembling Model
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
Xiaomeng Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Pheng-Ann Heng
MedIm
149
146
0
12 Aug 2018
A Domain Guided CNN Architecture for Predicting Age from Structural
  Brain Images
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images
Pascal Sturmfels
S. Rutherford
Mike Angstadt
Mark Peterson
Chandra S. Sripada
Jenna Wiens
MedIm
127
23
0
11 Aug 2018
Using Machine Learning Safely in Automotive Software: An Assessment and
  Adaption of Software Process Requirements in ISO 26262
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262
Rick Salay
Krzysztof Czarnecki
222
72
0
05 Aug 2018
Geared Rotationally Identical and Invariant Convolutional Neural Network
  Systems
Geared Rotationally Identical and Invariant Convolutional Neural Network Systems
ShihChung B. Lo
Ph. D.
M. Freedman
M. D.
S. Mun
Ph. D.
H. Chan
Ph. D
88
4
0
03 Aug 2018
SlimNets: An Exploration of Deep Model Compression and Acceleration
SlimNets: An Exploration of Deep Model Compression and Acceleration
Ini Oguntola
Subby Olubeko
Chris Sweeney
124
11
0
01 Aug 2018
Scale equivariance in CNNs with vector fields
Scale equivariance in CNNs with vector fields
Diego Marcos
B. Kellenberger
Sylvain Lobry
D. Tuia
181
58
0
31 Jul 2018
Transformationally Identical and Invariant Convolutional Neural Networks
  by Combining Symmetric Operations or Input Vectors
Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors
S. Lo
M. Freedman
S. Mun
184
3
0
30 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding
Explorations in Homeomorphic Variational Auto-Encoding
Luca Falorsi
P. D. Haan
Tim R. Davidson
Nicola De Cao
Maurice Weiler
Patrick Forré
Taco S. Cohen
BDLDRL
284
120
0
12 Jul 2018
DeSTNet: Densely Fused Spatial Transformer Networks
DeSTNet: Densely Fused Spatial Transformer Networks
R. Annunziata
Christos Sagonas
Jacques Calì
100
6
0
11 Jul 2018
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation
  in Dermoscopy Images
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Pheng-Ann Heng
MedIm
104
26
0
08 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in
  Volumetric Data
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric DataNeural Information Processing Systems (NeurIPS), 2018
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
336
566
0
06 Jul 2018
Sample Efficient Semantic Segmentation using Rotation Equivariant
  Convolutional Networks
Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks
J. Linmans
Jim Winkens
Bastiaan S. Veeling
Taco S. Cohen
Max Welling
MedIm
195
27
0
02 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
379
297
0
24 Jun 2018
Group Equivariant Capsule Networks
Group Equivariant Capsule Networks
J. E. Lenssen
Matthias Fey
Pascal Libuschewski
288
117
0
13 Jun 2018
Transformationally Identical and Invariant Convolutional Neural Networks
  through Symmetric Element Operators
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators
S. Lo
M. Freedman
S. Mun
Shuo Gu
157
5
0
10 Jun 2018
Rotation Equivariant CNNs for Digital Pathology
Rotation Equivariant CNNs for Digital Pathology
Bastiaan S. Veeling
J. Linmans
Jim Winkens
Taco S. Cohen
Max Welling
273
662
0
08 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
1.3K
3,405
0
04 Jun 2018
Rotation Equivariance and Invariance in Convolutional Neural Networks
Rotation Equivariance and Invariance in Convolutional Neural Networks
Benjamin Chidester
Minh Do
Jian Ma
93
36
0
31 May 2018
Why do deep convolutional networks generalize so poorly to small image
  transformations?
Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay
Yair Weiss
536
591
0
30 May 2018
Invariant Representations without Adversarial Training
Invariant Representations without Adversarial Training
Daniel Moyer
Shuyang Gao
Rob Brekelmans
Greg Ver Steeg
Aram Galstyan
OOD
331
231
0
24 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant
  Deep Networks
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
Xiuyuan Cheng
Qiang Qiu
Robert Calderbank
Guillermo Sapiro
171
47
0
17 May 2018
Learning on the Edge: Explicit Boundary Handling in CNNs
Learning on the Edge: Explicit Boundary Handling in CNNs
Carlo Innamorati
Tobias Ritschel
Tim Weyrich
Niloy J. Mitra
102
21
0
08 May 2018
Universal approximations of invariant maps by neural networks
Universal approximations of invariant maps by neural networks
Dmitry Yarotsky
292
240
0
26 Apr 2018
Progressive Neural Networks for Image Classification
Progressive Neural Networks for Image Classification
Zhi Zhang
G. Ning
Yigang Cen
Yongqian Li
Zhiqun Zhao
Hao Sun
Zhihai He
54
8
0
25 Apr 2018
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