Learning Invariant Riemannian Geometric Representations Using Deep Nets

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Learning Invariant Riemannian Geometric Representations Using Deep Nets

30 August 2017

Suhas Lohit

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Papers citing "Learning Invariant Riemannian Geometric Representations Using Deep Nets"

9 / 9 papers shown

Title
End-to-End Saliency Mapping via Probability Distribution Prediction Saumya Jetley Naila Murray E. Vig 58 148 0 05 Apr 2018
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem R. Clark Sen Wang Hongkai Wen Andrew Markham A. Trigoni 80 350 0 29 Jan 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 815 3,302 0 24 Nov 2016
Generalized BackPropagation, Étude De Cas: Orthogonality Mehrtash Harandi Basura Fernando 62 62 0 17 Nov 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 149 2,156 0 17 May 2016
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 159 1,587 0 16 Jun 2015
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets Pascal Vincent A. D. Brébisson Xavier Bouthillier 82 49 0 22 Dec 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 240 4,884 0 21 Dec 2013
Manopt, a Matlab toolbox for optimization on manifolds Nicolas Boumal Bamdev Mishra P.-A. Absil R. Sepulchre 113 1,033 0 23 Aug 2013

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