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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
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
372
458
0
16 Apr 2018
CubeNet: Equivariance to 3D Rotation and Translation
CubeNet: Equivariance to 3D Rotation and Translation
Daniel E. Worrall
Gabriel J. Brostow
3DPC
259
149
0
12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection
3D G-CNNs for Pulmonary Nodule Detection
M. Winkels
Taco S. Cohen
MedIm3DPC
255
109
0
12 Apr 2018
Roto-Translation Covariant Convolutional Networks for Medical Image
  Analysis
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis
Erik J. Bekkers
Maxime W. Lafarge
M. Veta
K. Eppenhof
J. Pluim
R. Duits
MedIm
372
184
0
10 Apr 2018
Intertwiners between Induced Representations (with Applications to the
  Theory of Equivariant Neural Networks)
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks)
Taco S. Cohen
Mario Geiger
Maurice Weiler
216
49
0
28 Mar 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
602
4,140
0
22 Mar 2018
Land cover mapping at very high resolution with rotation equivariant
  CNNs: towards small yet accurate models
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models
Diego Marcos
Michele Volpi
B. Kellenberger
D. Tuia
262
248
0
16 Mar 2018
HexaConv
HexaConv
Emiel Hoogeboom
Jorn W. T. Peters
Taco S. Cohen
Max Welling
186
63
0
06 Mar 2018
N-body Networks: a Covariant Hierarchical Neural Network Architecture
  for Learning Atomic Potentials
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials
Risi Kondor
AI4CE
208
111
0
05 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
357
1,110
0
22 Feb 2018
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations
Beranger Dumont
Simona Maggio
Pablo Montalvo
AAML
178
25
0
19 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks
  to the Action of Compact Groups
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor
Shubhendu Trivedi
MLT
444
551
0
11 Feb 2018
Spherical CNNs
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
760
979
0
30 Jan 2018
Aligned to the Object, not to the Image: A Unified Pose-aligned
  Representation for Fine-grained Recognition
Aligned to the Object, not to the Image: A Unified Pose-aligned Representation for Fine-grained Recognition
Pei Guo
Ryan Farrell
194
36
0
27 Jan 2018
Non-Parametric Transformation Networks
Non-Parametric Transformation Networks
Dipan K. Pal
Marios Savvides
305
7
0
14 Jan 2018
Covariant Compositional Networks For Learning Graphs
Covariant Compositional Networks For Learning Graphs
Risi Kondor
H. Son
Horace Pan
Brandon M. Anderson
Shubhendu Trivedi
GNN
223
170
0
07 Jan 2018
Deformable Classifiers
Deformable Classifiers
Jiajun Shen
Y. Amit
105
0
0
18 Dec 2017
StrassenNets: Deep Learning with a Multiplication Budget
StrassenNets: Deep Learning with a Multiplication Budget
Michael Tschannen
Aran Khanna
Anima Anandkumar
269
30
0
11 Dec 2017
Transformational Sparse Coding
Transformational Sparse Coding
Dimitrios C. Gklezakos
Rajesh P. N. Rao
96
2
0
08 Dec 2017
Empirically Analyzing the Effect of Dataset Biases on Deep Face
  Recognition Systems
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
Adam Kortylewski
Bernhard Egger
Andreas C. Schneider
Thomas Gerig
Andreas Morel-Forster
T. Vetter
CVBM
354
72
0
05 Dec 2017
Efficient and Invariant Convolutional Neural Networks for Dense
  Prediction
Efficient and Invariant Convolutional Neural Networks for Dense Prediction
Hongyang Gao
Shuiwang Ji
MDE
95
12
0
24 Nov 2017
Learning Steerable Filters for Rotation Equivariant CNNs
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler
Fred Hamprecht
M. Storath
307
426
0
20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves
Christine Allen-Blanchette
A. Makadia
Kostas Daniilidis
431
553
0
17 Nov 2017
Moonshine: Distilling with Cheap Convolutions
Moonshine: Distilling with Cheap Convolutions
Elliot J. Crowley
Gavia Gray
Amos Storkey
431
127
0
07 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled
  Observations
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar
P. Sattigeri
Avinash Balakrishnan
BDLDRL
333
564
0
02 Nov 2017
Parametrizing filters of a CNN with a GAN
Parametrizing filters of a CNN with a GAN
Yannic Kilcher
Gary Bécigneul
Thomas Hofmann
GAN
93
2
0
31 Oct 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
891
1,194
0
23 Oct 2017
Interpretable Transformations with Encoder-Decoder Networks
Interpretable Transformations with Encoder-Decoder Networks
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
DRL
180
103
0
19 Oct 2017
Convolutional Networks for Spherical Signals
Convolutional Networks for Spherical Signals
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
159
73
0
14 Sep 2017
Classifying Unordered Feature Sets with Convolutional Deep Averaging
  Networks
Classifying Unordered Feature Sets with Convolutional Deep Averaging Networks
Andrew Gardner
Jinko Kanno
C. A. Duncan
R. Selmic
164
13
0
10 Sep 2017
Polar Transformer Networks
Polar Transformer Networks
Carlos Esteves
Christine Allen-Blanchette
Xiaowei Zhou
Kostas Daniilidis
ViT
270
192
0
06 Sep 2017
Deep rank-based transposition-invariant distances on musical sequences
Deep rank-based transposition-invariant distances on musical sequences
Gaëtan Hadjeres
Frank Nielsen
82
1
0
03 Sep 2017
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
613
905
0
22 Aug 2017
Discovery of Visual Semantics by Unsupervised and Self-Supervised
  Representation Learning
Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning
Gustav Larsson
SSLVLM
142
6
0
19 Aug 2017
Rotational Rectification Network: Enabling Pedestrian Detection for
  Mobile Vision
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision
Xinshuo Weng
Shangxuan Wu
Fares N. Beainy
Kris Kitani
ObjD
153
12
0
19 Jun 2017
Group Invariance, Stability to Deformations, and Complexity of Deep
  Convolutional Representations
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations
A. Bietti
Julien Mairal
323
8
0
09 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on
  Graphs
Learning Local Receptive Fields and their Weight Sharing Scheme on GraphsIEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017
Jean-Charles Vialatte
Vincent Gripon
G. Coppin
116
6
0
08 Jun 2017
Characterizing Types of Convolution in Deep Convolutional Recurrent
  Neural Networks for Robust Speech Emotion Recognition
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition
Che-Wei Huang
Shrikanth. S. Narayanan
HAI
145
27
0
07 Jun 2017
Dynamic Steerable Blocks in Deep Residual Networks
Dynamic Steerable Blocks in Deep Residual NetworksBritish Machine Vision Conference (BMVC), 2017
J. Jacobsen
Bert de Brabandere
A. Smeulders
179
28
0
02 Jun 2017
Dense Transformer Networks
Dense Transformer Networks
Jun Yu Li
Yongjun Chen
Lei Cai
Ian Davidson
Shuiwang Ji
ViTMedIm
150
17
0
24 May 2017
Deep Rotation Equivariant Network
Deep Rotation Equivariant Network
Junying Li
Zichen Yang
Haifeng Liu
Deng Cai
252
61
0
24 May 2017
On the effect of pooling on the geometry of representations
On the effect of pooling on the geometry of representations
Gary Bécigneul
144
2
0
20 Mar 2017
Discriminate-and-Rectify Encoders: Learning from Image Transformation
  Sets
Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets
Andrea Tacchetti
S. Voinea
Georgios Evangelopoulos
84
1
0
14 Mar 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
1.4K
2,746
0
10 Mar 2017
Mixing Complexity and its Applications to Neural Networks
Mixing Complexity and its Applications to Neural Networks
Michal Moshkovitz
Naftali Tishby
93
11
0
02 Mar 2017
Graph-based Isometry Invariant Representation Learning
Graph-based Isometry Invariant Representation Learning
Renata Khasanova
P. Frossard
232
55
0
01 Mar 2017
Equivariance Through Parameter-Sharing
Equivariance Through Parameter-SharingInternational Conference on Machine Learning (ICML), 2017
Siamak Ravanbakhsh
J. Schneider
Barnabás Póczós
308
277
0
27 Feb 2017
Emergence of Selective Invariance in Hierarchical Feed Forward Networks
Emergence of Selective Invariance in Hierarchical Feed Forward Networks
Dipan K. Pal
Vishnu Boddeti
Marios Savvides
103
0
0
30 Jan 2017
Oriented Response Networks
Oriented Response NetworksComputer Vision and Pattern Recognition (CVPR), 2017
Yanzhao Zhou
QiXiang Ye
Qiang Qiu
Jianbin Jiao
272
277
0
07 Jan 2017
Automatic Discoveries of Physical and Semantic Concepts via Association
  Priors of Neuron Groups
Automatic Discoveries of Physical and Semantic Concepts via Association Priors of Neuron Groups
Shuai Li
Kui Jia
Xiaogang Wang
124
0
0
30 Dec 2016
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