Semi-Supervised Generation with Cluster-aware Generative Models

3 April 2017

Papers citing "Semi-Supervised Generation with Cluster-aware Generative Models"

14 / 14 papers shown

Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model

Anthony Alexiades Armenakas

E. Rieffel

DRL

167

22 Mar 2023

Discouraging posterior collapse in hierarchical Variational Autoencoders using context

Anna Kuzina

Jakub M. Tomczak

BDL DRL

330

20 Feb 2023

EXoN: EXplainable encoder Network

221

23 May 2021

Hierarchical VAEs Know What They Don't KnowInternational Conference on Machine Learning (ICML), 2021

Jakob Drachmann Havtorn

612

16 Feb 2021

Capturing Label Characteristics in VAEs

374

17 Jun 2020

BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling

326

222

06 Feb 2019

Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels

M. Willetts

Stephen J. Roberts

Christopher C Holmes

192

24 Jan 2019

Semi-unsupervised Learning of Human Activity using Deep Generative Models

M. Willetts

Aiden Doherty

Stephen J. Roberts

Chris Holmes

124

29 Oct 2018

Adversarially Learned Mixture Model

127

14 Jul 2018

DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors

Arash Vahdat

Evgeny Andriyash

W. Macready

355

18 May 2018

GumBolt: Extending Gumbel trick to Boltzmann priors

Amir Khoshaman

Mohammad H. Amin

210

18 May 2018

DVAE++: Discrete Variational Autoencoders with Overlapping Transformations

206

14 Feb 2018

GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures

196

14 Jul 2017

487

676

19 May 2017