Group Equivariant Convolutional Networks

24 February 2016

Papers citing "Group Equivariant Convolutional Networks"

42 / 392 papers shown

Title
Rotational 3D Texture Classification Using Group Equivariant CNNs Vincent Andrearczyk A. Depeursinge 13 12 0 16 Oct 2018
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 UQCV BDL 19 306 0 11 Oct 2018
Learning Compressed Transforms with Low Displacement Rank Anna T. Thomas Albert Gu Tri Dao Atri Rudra Christopher Ré 27 40 0 04 Oct 2018
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 DiffM MedIm 16 3 0 03 Oct 2018
A rotation-equivariant convolutional neural network model of primary visual cortex 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 16 53 0 27 Sep 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy Chuhan Min Aosen Wang Yiran Chen Wenyao Xu Xin Chen 22 41 0 06 Sep 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 25 3 0 21 Aug 2018
Learning Invariances using the Marginal Likelihood Mark van der Wilk Matthias Bauer S. T. John J. Hensman 34 83 0 16 Aug 2018
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 17 23 0 11 Aug 2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262 Rick Salay Krzysztof Czarnecki 17 69 0 05 Aug 2018
SlimNets: An Exploration of Deep Model Compression and Acceleration Ini Oguntola Subby Olubeko Chris Sweeney 8 11 0 01 Aug 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 28 116 0 12 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 45 494 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 34 264 0 24 Jun 2018
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 AI4CE NAI 94 3,078 0 04 Jun 2018
Rotation Equivariance and Invariance in Convolutional Neural Networks Benjamin Chidester Minh Do Jian Ma 13 35 0 31 May 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 34 557 0 30 May 2018
Invariant Representations without Adversarial Training Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan OOD 15 207 0 24 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 25 43 0 17 May 2018
Learning on the Edge: Explicit Boundary Handling in CNNs Carlo Innamorati Tobias Ritschel Tim Weyrich Niloy J. Mitra 16 20 0 08 May 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 14 205 0 26 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 28 107 0 12 Apr 2018
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis Erik J. Bekkers Maxime W. Lafarge M. Veta K. Eppenhof J. Pluim R. Duits MedIm 17 170 0 10 Apr 2018
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks) Taco S. Cohen Mario Geiger Maurice Weiler 33 46 0 28 Mar 2018
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models Diego Marcos Michele Volpi B. Kellenberger D. Tuia 25 235 0 16 Mar 2018
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 22 940 0 22 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 45 487 0 11 Feb 2018
Covariant Compositional Networks For Learning Graphs Risi Kondor H. Son Horace Pan Brandon M. Anderson Shubhendu Trivedi GNN 33 164 0 07 Jan 2018
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 14 71 0 05 Dec 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 45 508 0 17 Nov 2017
Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley Gavia Gray Amos Storkey 25 120 0 07 Nov 2017
Convolutional Networks for Spherical Signals Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 27 70 0 14 Sep 2017
Polar Transformer Networks Carlos Esteves Christine Allen-Blanchette Xiaowei Zhou Kostas Daniilidis ViT 26 183 0 06 Sep 2017
Sparsity Invariant CNNs J. Uhrig N. Schneider Lukas Schneider Uwe Franke Thomas Brox Andreas Geiger 25 823 0 22 Aug 2017
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition Che-Wei Huang Shrikanth. S. Narayanan HAI 19 25 0 07 Jun 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 69 2,418 0 10 Mar 2017
Rotation equivariant vector field networks Diego Marcos Michele Volpi N. Komodakis D. Tuia 22 265 0 29 Dec 2016
Steerable CNNs Taco S. Cohen Max Welling BDL 49 487 0 27 Dec 2016
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 14 2,546 0 12 Dec 2016
Generalization Error of Invariant Classifiers Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 13 77 0 14 Oct 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 18 363 0 08 Feb 2016
On the energy landscape of deep networks Pratik Chaudhari Stefano Soatto ODL 35 27 0 20 Nov 2015