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Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

30 April 2021

Papers citing "Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder"

50 / 63 papers shown

Title
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations Tonmoy Hossain Miaomiao Zhang 108 3 0 20 Dec 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,149 0 01 Mar 2022
A prior-based approximate latent Riemannian metric Georgios Arvanitidis B. Georgiev Bernhard Schölkopf MedIm 34 13 0 09 Mar 2021
CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection Abdul Waheed Muskan Goyal Deepak Gupta Ashish Khanna F. Al-turjman P. Pinheiro MedIm 87 579 0 08 Mar 2021
Geometry-Aware Hamiltonian Variational Auto-Encoder Clément Chadebec Clément Mantoux S. Allassonnière DRL 64 16 0 22 Oct 2020
Geometrically Enriched Latent Spaces Georgios Arvanitidis Søren Hauberg Bernhard Schölkopf DRL 69 55 0 02 Aug 2020
Lung Segmentation from Chest X-rays using Variational Data Imputation Raghavendra Selvan Erik Dam Nicki S. Detlefsen Sofus Rischel Kaining Sheng Mads Nielsen A. Pai 84 56 0 20 May 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 122 49 0 12 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 532 42,591 0 03 Dec 2019
Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders Nina Miolane S. Holmes DRL 34 20 0 19 Nov 2019
FMRI data augmentation via synthesis Peiye Zhuang Alex Schwing Oluwasanmi Koyejo DiffM MedIm 42 44 0 13 Jul 2019
Cardiac MRI Segmentation with Strong Anatomical Guarantees Nathan Painchaud Youssef Skandarani Thierry Judge Olivier Bernard A. Lalande Pierre-Marc Jodoin 35 63 0 05 Jul 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 147 1,827 0 02 Jun 2019
Learning Hierarchical Priors in VAEs Alexej Klushyn Nutan Chen Richard Kurle Botond Cseke Patrick van der Smagt BDL CML DRL 45 100 0 13 May 2019
A Contrastive Divergence for Combining Variational Inference and MCMC Francisco J. R. Ruiz Michalis K. Titsias BDL 54 60 0 10 May 2019
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation Junhao Wen Elina Thibeau-Sutre Mauricio Diaz-Melo J. Samper-González A. Routier Simona Bottani Didier Dormont S. Durrleman Ninon Burgos O. Colliot 75 520 0 16 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 81 272 0 29 Mar 2019
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 65 381 0 14 Mar 2019
Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models M. Frenzel Bogdan Teleaga Asahi Ushio 37 7 0 06 Feb 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 80 178 0 17 Jan 2019
Poincaré Wasserstein Autoencoder Ivan Ovinnikov 50 17 0 05 Jan 2019
3D MRI brain tumor segmentation using autoencoder regularization Andriy Myronenko 92 1,047 0 27 Oct 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 112 111 0 26 Oct 2018
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 101 1,393 0 19 Sep 2018
Generating Highly Realistic Images of Skin Lesions with GANs Christoph Baur Shadi Albarqouni Nassir Navab GAN MedIm 73 79 0 05 Sep 2018
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN Swee Kiat Lim Yi Loo Ngoc-Trung Tran Ngai-Man Cheung Gemma Roig Yuval Elovici 39 117 0 23 Aug 2018
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks Hoo-Chang Shin Neil A. Tenenholtz Jameson K. Rogers C. Schwarz M. Senjem J. Gunter Katherine P. Andriole Mark H. Michalski MedIm 108 541 0 26 Jul 2018
How good is my GAN? K. Shmelkov Cordelia Schmid Alahari Karteek GAN EGVM 51 350 0 25 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 99 115 0 12 Jul 2018
High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks Dimitrios Korkinof T. Rijken Michael OÑeill J. Yearsley H. Harvey Ben Glocker MedIm 57 67 0 09 Jul 2018
Hamiltonian Variational Auto-Encoder Anthony L. Caterini Arnaud Doucet Dino Sejdinovic BDL DRL 57 95 0 29 May 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 114 384 0 03 Apr 2018
BAGAN: Data Augmentation with Balancing GAN G. Mariani Florian Scheidegger R. Istrate C. Bekas A. Malossi 55 314 0 26 Mar 2018
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification Maayan Frid-Adar I. Diamant Eyal Klang Michal Amitai Jacob Goldberger H. Greenspan GAN MedIm 91 1,562 0 03 Mar 2018
Pros and Cons of GAN Evaluation Measures Ali Borji ELM EGVM 67 878 0 09 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 135 283 0 10 Jan 2018
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 80 1,013 0 28 Nov 2017
The Riemannian Geometry of Deep Generative Models Hang Shao Abhishek Kumar P. T. Fletcher DRL 61 183 0 21 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 182 694 0 15 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 138 1,073 0 12 Nov 2017
Metrics for Deep Generative Models Nutan Chen Alexej Klushyn Richard Kurle Xueyan Jiang Justin Bayer Patrick van der Smagt SyDa DRL 68 116 0 03 Nov 2017
Data Augmentation in Emotion Classification Using Generative Adversarial Networks Xinyue Zhu Yifan Liu Zengchang Qin Jiahong Li GAN 61 120 0 02 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
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 164 7,376 0 27 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) Lei Bi Jinman Kim Ashnil Kumar Dagan Feng M. Fulham MedIm GAN 67 139 0 31 Jul 2017
Unsupervised Domain Adaptation for Robust Speech Recognition via Variational Autoencoder-Based Data Augmentation Wei-Ning Hsu Yu Zhang James R. Glass 61 129 0 19 Jul 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 68 635 0 19 May 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 174 4,827 0 26 Jan 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 128 1,728 0 01 Dec 2016