Group Equivariant Convolutional Networks

24 February 2016

Papers citing "Group Equivariant Convolutional Networks"

49 / 499 papers shown

Title
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 30 41 0 06 Sep 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 35 3 0 21 Aug 2018
Learning Invariances using the Marginal Likelihood Mark van der Wilk Matthias Bauer S. T. John J. Hensman 36 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 27 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 25 69 0 05 Aug 2018
SlimNets: An Exploration of Deep Model Compression and Acceleration Ini Oguntola Subby Olubeko Chris Sweeney 27 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 39 116 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 45 495 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 56 266 0 24 Jun 2018
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators S. Lo M. Freedman S. Mun Shuo Gu 19 5 0 10 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 121 3,087 0 04 Jun 2018
Rotation Equivariance and Invariance in Convolutional Neural Networks Benjamin Chidester Minh Do Jian Ma 21 35 0 31 May 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 37 557 0 30 May 2018
Invariant Representations without Adversarial Training Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan OOD 15 208 0 24 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 30 43 0 17 May 2018
Learning on the Edge: Explicit Boundary Handling in CNNs Carlo Innamorati Tobias Ritschel Tim Weyrich Niloy J. Mitra 19 20 0 08 May 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 32 205 0 26 Apr 2018
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 88 389 0 16 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 36 107 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 22 171 0 10 Apr 2018
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks) Taco S. Cohen Mario Geiger Maurice Weiler 41 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 25 237 0 16 Mar 2018
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials Risi Kondor AI4CE 38 106 0 05 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 44 944 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 62 488 0 11 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 80 894 0 30 Jan 2018
Covariant Compositional Networks For Learning Graphs Risi Kondor H. Son Horace Pan Brandon M. Anderson Shubhendu Trivedi GNN 33 165 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 35 71 0 05 Dec 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 65 510 0 17 Nov 2017
Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley Gavia Gray Amos Storkey 33 120 0 07 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 40 1,087 0 23 Oct 2017
Convolutional Networks for Spherical Signals Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 38 70 0 14 Sep 2017
Polar Transformer Networks Carlos Esteves Christine Allen-Blanchette Xiaowei Zhou Kostas Daniilidis ViT 34 184 0 06 Sep 2017
Sparsity Invariant CNNs J. Uhrig N. Schneider Lukas Schneider Uwe Franke Thomas Brox Andreas Geiger 59 824 0 22 Aug 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs Jean-Charles Vialatte Vincent Gripon G. Coppin 25 5 0 08 Jun 2017
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition Che-Wei Huang Shrikanth. S. Narayanan HAI 27 2 0 07 Jun 2017
Deep Rotation Equivariant Network Junying Li Zichen Yang Haifeng Liu Deng Cai 26 59 0 24 May 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 98 2,427 0 10 Mar 2017
Mixing Complexity and its Applications to Neural Networks Michal Moshkovitz Naftali Tishby 32 11 0 02 Mar 2017
Oriented Response Networks Yanzhao Zhou QiXiang Ye Qiang Qiu Jianbin Jiao 27 259 0 07 Jan 2017
Rotation equivariant vector field networks Diego Marcos Michele Volpi N. Komodakis D. Tuia 28 266 0 29 Dec 2016
Steerable CNNs Taco S. Cohen Max Welling BDL 63 493 0 27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 77 700 0 14 Dec 2016
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 58 2,553 0 12 Dec 2016
Doubly Convolutional Neural Networks Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang OOD 3DV 22 63 0 30 Oct 2016
Generalization Error of Invariant Classifiers Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 21 77 0 14 Oct 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 20 364 0 08 Feb 2016
On the energy landscape of deep networks Pratik Chaudhari Stefano Soatto ODL 43 27 0 20 Nov 2015