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Semi-Supervised Generation with Cluster-aware Generative Models

Semi-Supervised Generation with Cluster-aware Generative Models

3 April 2017
Lars Maaløe
Marco Fraccaro
Ole Winther
ArXiv (abs)PDFHTML

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
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model
T. Templin
Milad Memarzadeh
W. Vinci
P. A. Lott
A. A. Asanjan
Anthony Alexiades Armenakas
E. Rieffel
DRL
167
6
0
22 Mar 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders
  using context
Discouraging posterior collapse in hierarchical Variational Autoencoders using context
Anna Kuzina
Jakub M. Tomczak
BDLDRL
326
1
0
20 Feb 2023
EXoN: EXplainable encoder Network
EXoN: EXplainable encoder Network
SeungHwan An
Hosik Choi
Jong-June Jeon
BDLDRL
221
5
0
23 May 2021
Hierarchical VAEs Know What They Don't Know
Hierarchical VAEs Know What They Don't KnowInternational Conference on Machine Learning (ICML), 2021
Jakob Drachmann Havtorn
J. Frellsen
Søren Hauberg
Lars Maaløe
DRL
612
83
0
16 Feb 2021
Capturing Label Characteristics in VAEs
Capturing Label Characteristics in VAEs
Thomas Joy
Sebastian M. Schmon
Juil Sock
N. Siddharth
Tom Rainforth
CMLDRL
374
51
0
17 Jun 2020
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Lars Maaløe
Marco Fraccaro
Valentin Liévin
Ole Winther
BDLDRL
326
222
0
06 Feb 2019
Semi-Unsupervised Learning: Clustering and Classifying using
  Ultra-Sparse Labels
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels
M. Willetts
Stephen J. Roberts
Christopher C Holmes
192
5
0
24 Jan 2019
Semi-unsupervised Learning of Human Activity using Deep Generative
  Models
Semi-unsupervised Learning of Human Activity using Deep Generative Models
M. Willetts
Aiden Doherty
Stephen J. Roberts
Chris Holmes
124
3
0
29 Oct 2018
Adversarially Learned Mixture Model
Adversarially Learned Mixture Model
Andrew Jesson
Cécile Low-Kam
Tanya Nair
F. Soudan
Florent Chandelier
Nicolas Chapados
127
2
0
14 Jul 2018
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
Arash Vahdat
Evgeny Andriyash
W. Macready
355
53
0
18 May 2018
GumBolt: Extending Gumbel trick to Boltzmann priors
GumBolt: Extending Gumbel trick to Boltzmann priors
Amir Khoshaman
Mohammad H. Amin
210
15
0
18 May 2018
DVAE++: Discrete Variational Autoencoders with Overlapping
  Transformations
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Arash Vahdat
W. Macready
Zhengbing Bian
Amir Khoshaman
Evgeny Andriyash
206
79
0
14 Feb 2018
GLSR-VAE: Geodesic Latent Space Regularization for Variational
  AutoEncoder Architectures
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures
Gaëtan Hadjeres
Frank Nielsen
F. Pachet
DRL
196
68
0
14 Jul 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GANBDL
486
676
0
19 May 2017
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