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Connecting Sphere Manifolds Hierarchically for Regularization

Connecting Sphere Manifolds Hierarchically for Regularization

25 June 2021
Damien Scieur
Youngsung Kim
    3DH
ArXivPDFHTML

Papers citing "Connecting Sphere Manifolds Hierarchically for Regularization"

23 / 23 papers shown
Title
Geoopt: Riemannian Optimization in PyTorch
Geoopt: Riemannian Optimization in PyTorch
Max Kochurov
R. Karimov
Sergei Kozlukov
50
118
0
06 May 2020
Mixed-curvature Variational Autoencoders
Mixed-curvature Variational Autoencoders
Ondrej Skopek
O. Ganea
Gary Bécigneul
CML
DRL
BDL
55
102
0
19 Nov 2019
Constant Curvature Graph Convolutional Networks
Constant Curvature Graph Convolutional Networks
Gregor Bachmann
Gary Bécigneul
O. Ganea
GNN
65
135
0
12 Nov 2019
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural Networks
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
99
643
0
28 Oct 2019
Hyperbolic Graph Neural Networks
Hyperbolic Graph Neural Networks
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CE
GNN
71
377
0
28 Oct 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan Oseledets
Victor Lempitsky
53
288
0
03 Apr 2019
Poincaré GloVe: Hyperbolic Word Embeddings
Poincaré GloVe: Hyperbolic Word Embeddings
A. Tifrea
Gary Bécigneul
O. Ganea
52
287
0
15 Oct 2018
Riemannian Adaptive Optimization Methods
Riemannian Adaptive Optimization Methods
Gary Bécigneul
O. Ganea
ODL
91
254
0
01 Oct 2018
Relational inductive biases, deep learning, and graph networks
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
499
3,101
0
04 Jun 2018
Hyperbolic Neural Networks
Hyperbolic Neural Networks
O. Ganea
Gary Bécigneul
Thomas Hofmann
50
593
0
23 May 2018
Representation Tradeoffs for Hyperbolic Embeddings
Representation Tradeoffs for Hyperbolic Embeddings
Christopher De Sa
Albert Gu
Christopher Ré
Frederic Sala
164
410
0
10 Apr 2018
Do Convolutional Neural Networks Learn Class Hierarchy?
Do Convolutional Neural Networks Learn Class Hierarchy?
B. Alsallakh
Amin Jourabloo
Mao Ye
Xiaoming Liu
Liu Ren
138
212
0
17 Oct 2017
Poincaré Embeddings for Learning Hierarchical Representations
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel
Douwe Kiela
75
1,290
0
22 May 2017
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
68
1,454
0
07 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
597
3,264
0
24 Nov 2016
Generative Visual Manipulation on the Natural Image Manifold
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu
Philipp Krahenbuhl
Eli Shechtman
Alexei A. Efros
GAN
64
1,395
0
12 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
680
36,599
0
25 Aug 2016
Nonparametric Spherical Topic Modeling with Word Embeddings
Nonparametric Spherical Topic Modeling with Word Embeddings
N. Batmanghelich
A. Saeedi
Karthik Narasimhan
S. Gershman
52
88
0
01 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Order-Embeddings of Images and Language
Order-Embeddings of Images and Language
Ivan Vendrov
Ryan Kiros
Sanja Fidler
R. Urtasun
90
544
0
19 Nov 2015
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
318
33,445
0
16 Oct 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
583
31,406
0
16 Jan 2013
Stochastic gradient descent on Riemannian manifolds
Stochastic gradient descent on Riemannian manifolds
Silvere Bonnabel
76
589
0
22 Nov 2011
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