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Orthogonal SVD Covariance Conditioning and Latent Disentanglement

Orthogonal SVD Covariance Conditioning and Latent Disentanglement

11 December 2022
Yue Song
N. Sebe
Wei Wang
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Papers citing "Orthogonal SVD Covariance Conditioning and Latent Disentanglement"

15 / 15 papers shown
Title
Unsupervised Representation Learning from Sparse Transformation Analysis
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song
Thomas Anderson Keller
Yisong Yue
Pietro Perona
Max Welling
DRL
29
0
0
07 Oct 2024
DINE: Dimensional Interpretability of Node Embeddings
DINE: Dimensional Interpretability of Node Embeddings
Simone Piaggesi
Megha Khosla
Andre' Panisson
Avishek Anand
14
6
0
02 Oct 2023
Flow Factorized Representation Learning
Flow Factorized Representation Learning
Yue Song
Thomas Anderson Keller
N. Sebe
Max Welling
DRL
OOD
21
3
0
22 Sep 2023
Householder Projector for Unsupervised Latent Semantics Discovery
Householder Projector for Unsupervised Latent Semantics Discovery
Yue Song
Jichao Zhang
N. Sebe
Wei Wang
15
5
0
16 Jul 2023
Latent Traversals in Generative Models as Potential Flows
Latent Traversals in Generative Models as Potential Flows
Yue Song
Andy Keller
N. Sebe
Max Welling
DRL
23
10
0
25 Apr 2023
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
Yue Song
N. Sebe
Wei Wang
13
8
0
05 Jul 2022
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual
  Recognition
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
Yue Song
N. Sebe
Wei Wang
21
33
0
26 May 2022
Fast Differentiable Matrix Square Root and Inverse Square Root
Fast Differentiable Matrix Square Root and Inverse Square Root
Yue Song
N. Sebe
Wei Wang
27
15
0
29 Jan 2022
Rayleigh EigenDirections (REDs): GAN latent space traversals for
  multidimensional features
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features
Guha Balakrishnan
Raghudeep Gadde
Aleix M. Martinez
Pietro Perona
25
3
0
25 Jan 2022
WarpedGANSpace: Finding non-linear RBF paths in GAN latent space
WarpedGANSpace: Finding non-linear RBF paths in GAN latent space
Christos Tzelepis
Georgios Tzimiropoulos
Ioannis Patras
76
62
0
27 Sep 2021
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
54
137
0
09 Sep 2021
EigenGAN: Layer-Wise Eigen-Learning for GANs
EigenGAN: Layer-Wise Eigen-Learning for GANs
Zhenliang He
Meina Kan
Shiguang Shan
GAN
46
50
0
26 Apr 2021
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
348
0
14 Jun 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
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
950
20,561
0
17 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,362
0
25 Aug 2016
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