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Dynamically Stable Poincaré Embeddings for Neural Manifolds
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Dynamically Stable Poincaré Embeddings for Neural Manifolds

Jun Chen
Yuang Liu
Xiangrui Zhao
Mengmeng Wang
Yang Liu
ArXiv (abs)PDFHTML

Papers citing "Dynamically Stable Poincaré Embeddings for Neural Manifolds"

15 / 15 papers shown
Title
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior
Jun Chen
Tianxin Huang
Wenzhou Chen
Yong Liu
36
4
0
16 Nov 2021
Hyperbolic Neural Networks
Hyperbolic Neural Networks
O. Ganea
Gary Bécigneul
Thomas Hofmann
58
605
0
23 May 2018
Representation Tradeoffs for Hyperbolic Embeddings
Representation Tradeoffs for Hyperbolic Embeddings
Christopher De Sa
Albert Gu
Christopher Ré
Frederic Sala
216
413
0
10 Apr 2018
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
O. Ganea
Gary Bécigneul
Thomas Hofmann
164
275
0
03 Apr 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
201
19,333
0
13 Jan 2018
Poincaré Embeddings for Learning Hierarchical Representations
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel
Douwe Kiela
93
1,310
0
22 May 2017
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
813
3,293
0
24 Nov 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,890
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
309
25,081
0
30 Apr 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
James Martens
Roger C. Grosse
ODL
104
1,023
0
19 Mar 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
338
18,651
0
06 Feb 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
202
4,898
0
22 Dec 2014
New insights and perspectives on the natural gradient method
New insights and perspectives on the natural gradient method
James Martens
ODL
76
630
0
03 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014