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Learning Identity-Preserving Transformations on Data Manifolds

22 June 2021

Papers citing "Learning Identity-Preserving Transformations on Data Manifolds"

31 / 31 papers shown

Title
Robust Self-Supervised Learning with Lie Groups Mark Ibrahim Diane Bouchacourt Ari S. Morcos SSL OOD 56 6 0 24 Oct 2022
A prior-based approximate latent Riemannian metric Georgios Arvanitidis B. Georgiev Bernhard Schölkopf MedIm 34 13 0 09 Mar 2021
Variational Autoencoder with Learned Latent Structure Marissa Connor Gregory H. Canal Christopher Rozell CML DRL 71 46 0 18 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 521 10,591 0 17 Feb 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 124 49 0 12 Feb 2020
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification Longbiao Mao Y. Yan Jing-Hao Xue Hanzi Wang CVBM 50 50 0 10 Feb 2020
Representing Closed Transformation Paths in Encoded Network Latent Space Marissa Connor Christopher Rozell 3DPC DRL 62 28 0 05 Dec 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 258 3,505 0 30 Sep 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 73 404 0 14 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 100 597 0 01 May 2019
Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation Jianxin Lin Zhibo Chen Yingce Xia Sen Liu Tao Qin Jiebo Luo GAN 75 50 0 11 Feb 2019
Fast and Robust Shortest Paths on Manifolds Learned from Data Georgios Arvanitidis Søren Hauberg Philipp Hennig Michael Schober 53 37 0 22 Jan 2019
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 164 907 0 30 Jan 2018
The Riemannian Geometry of Deep Generative Models Hang Shao Abhishek Kumar P. T. Fletcher DRL 69 183 0 21 Nov 2017
Disentangling Factors of Variation by Mixing Them Qiyang Hu Attila Szabó Tiziano Portenier Matthias Zwicker Paolo Favaro OCL CoGe DRL 51 76 0 20 Nov 2017
Metrics for Deep Generative Models Nutan Chen Alexej Klushyn Richard Kurle Xueyan Jiang Justin Bayer Patrick van der Smagt SyDa DRL 75 116 0 03 Nov 2017
Latent Space Oddity: on the Curvature of Deep Generative Models Georgios Arvanitidis Lars Kai Hansen Søren Hauberg DRL 110 270 0 31 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,926 0 25 Aug 2017
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 161 4,238 0 12 Jun 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 257 10,267 0 27 Mar 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 176 1,946 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation Søren Hauberg Oren Freifeld Anders Boesen Lindbo Larsen John W. Fisher III Lars Kai Hansen 60 154 0 09 Oct 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 126 1,875 0 22 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,197 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Learning with Pseudo-Ensembles Philip Bachman O. Alsharif Doina Precup 89 602 0 16 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,429 0 28 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,615 0 01 Sep 2014
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 158 535 0 01 Oct 2013
An Unsupervised Algorithm For Learning Lie Group Transformations Jascha Narain Sohl-Dickstein Jimmy C. Wang Bruno A. Olshausen 135 49 0 07 Jan 2010