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Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks

20 June 2019

Papers citing "Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks"

26 / 26 papers shown

Title
Pushing the Limits of Capsule Networks P. Nair Rohan Doshi Stefan Keselj 45 32 0 15 Mar 2021
Improving the Robustness of Capsule Networks to Image Affine Transformations Jindong Gu Volker Tresp 3DPC 44 51 0 18 Nov 2019
Building Deep, Equivariant Capsule Networks Sairaam Venkatraman S. Balasubramanian R. R. Sarma 3DPC 38 27 0 04 Aug 2019
Capsule Networks Need an Improved Routing Algorithm Inyoung Paik Taeyeong Kwak Injung Kim 115 35 0 31 Jul 2019
Path Capsule Networks Mohammed Amer Tomás Maul 3DPC 29 27 0 11 Feb 2019
Generalized Capsule Networks with Trainable Routing Procedure Zhenhua Chen David J. Crandall 3DPC MedIm 45 31 0 27 Aug 2018
Effects of Degradations on Deep Neural Network Architectures Prasun Roy Subhankar Ghosh Saumik Bhattacharya Umapada Pal 58 137 0 26 Jul 2018
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks Jinghui Chen Dongruo Zhou Yiqi Tang Ziyan Yang Yuan Cao Quanquan Gu ODL 79 193 0 18 Jun 2018
Averaging Weights Leads to Wider Optima and Better Generalization Pavel Izmailov Dmitrii Podoprikhin T. Garipov Dmitry Vetrov A. Wilson FedML MoMe 135 1,669 0 14 Mar 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs T. Garipov Pavel Izmailov Dmitrii Podoprikhin Dmitry Vetrov A. Wilson UQCV 83 755 0 27 Feb 2018
An Artificial Neural Network Architecture Based on Context Transformations in Cortical Minicolumns Vasily Morzhakov A. Redozubov AI4TS 30 2 0 16 Dec 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 177 4,602 0 26 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning Ashia Wilson Rebecca Roelofs Mitchell Stern Nathan Srebro Benjamin Recht ODL 68 1,032 0 23 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,880 0 17 Apr 2017
Snapshot Ensembles: Train 1, get M for free Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu John E. Hopcroft Kilian Q. Weinberger OOD FedML UQCV 134 951 0 01 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,596 0 07 Oct 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 381 14,260 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,412 0 02 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 480 43,685 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 294 6,283 0 16 Dec 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 455 7,666 0 03 Jul 2012