Orthogonal SVD Covariance Conditioning and Latent Disentanglement

11 December 2022

Papers citing "Orthogonal SVD Covariance Conditioning and Latent Disentanglement"

11 / 11 papers shown

Title
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 24 0 0 07 Oct 2024
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality Yue Song N. Sebe Wei Wang 8 6 0 05 Jul 2022
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition Yue Song N. Sebe Wei Wang 10 33 0 26 May 2022
Fast Differentiable Matrix Square Root and Inverse Square Root Yue Song N. Sebe Wei Wang 22 15 0 29 Jan 2022
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features Guha Balakrishnan Raghudeep Gadde Aleix M. Martinez Pietro Perona 19 3 0 25 Jan 2022
WarpedGANSpace: Finding non-linear RBF paths in GAN latent space Christos Tzelepis Georgios Tzimiropoulos Ioannis Patras 68 62 0 27 Sep 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 43 134 0 09 Sep 2021
EigenGAN: Layer-Wise Eigen-Learning for GANs Zhenliang He Meina Kan Shiguang Shan GAN 44 50 0 26 Apr 2021
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 220 347 0 14 Jun 2018
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 948 20,214 0 17 Apr 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016