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Variational Deep Embedding: An Unsupervised and Generative Approach to
  Clustering
v1v2v3 (latest)

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

16 November 2016
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
    BDLDRL
ArXiv (abs)PDFHTML

Papers citing "Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering"

32 / 32 papers shown
Title
Scalable Robust Bayesian Co-Clustering with Compositional ELBOs
Scalable Robust Bayesian Co-Clustering with Compositional ELBOs
Ashwin Vinod
Chandrajit Bajaj
BDL
117
0
0
05 Apr 2025
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation
Lingkun Luo
Shiqiang Hu
Liming Chen
157
0
0
10 Feb 2025
Deep clustering using adversarial net based clustering loss
Deep clustering using adversarial net based clustering loss
Kart-Leong Lim
122
0
0
12 Dec 2024
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
Fei Tang
Yongliang Shen
Hang Zhang
Zeqi Tan
Wenqi Zhang
Guiyang Hou
Kaitao Song
Weiming Lu
Yueting Zhuang
124
0
0
15 Oct 2024
The VampPrior Mixture Model
The VampPrior Mixture Model
Andrew Stirn
David A. Knowles
BDL
82
1
0
06 Feb 2024
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
Tonmoy Hossain
Miaomiao Zhang
120
3
0
20 Dec 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CMLOOD
193
2
0
16 Oct 2023
A Robust Speaker Clustering Method Based on Discrete Tied Variational
  Autoencoder
A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder
Chen Feng
Jianzong Wang
Tongxu Li
Junqing Peng
Jing Xiao
DRL
57
0
0
04 Mar 2020
Infinite Variational Autoencoder for Semi-Supervised Learning
Infinite Variational Autoencoder for Semi-Supervised Learning
Ehsan Abbasnejad
A. Dick
Anton Van Den Hengel
BDLDRL
63
79
0
23 Nov 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
161
4,240
0
12 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
488
9,076
0
10 Jun 2016
A Neural Autoregressive Approach to Collaborative Filtering
A Neural Autoregressive Approach to Collaborative Filtering
Yin Zheng
Bangsheng Tang
Wenkui Ding
Hanning Zhou
BDL
65
223
0
31 May 2016
Stick-Breaking Variational Autoencoders
Stick-Breaking Variational Autoencoders
Marco Cote
Padhraic Smyth
BDLDRL
130
163
0
20 May 2016
Auxiliary Deep Generative Models
Auxiliary Deep Generative Models
Lars Maaløe
C. Sønderby
Søren Kaae Sønderby
Ole Winther
DRLGAN
86
451
0
17 Feb 2016
Generating Images with Perceptual Similarity Metrics based on Deep
  Networks
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy
Thomas Brox
DRLGAN
118
1,142
0
08 Feb 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDLDRL
99
915
0
06 Feb 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSegGAN
486
2,579
0
25 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
294
14,032
0
19 Nov 2015
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
105
2,884
0
19 Nov 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
106
2,228
0
18 Nov 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
111
2,245
0
18 Jun 2015
Deep Convolutional Inverse Graphics Network
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni
William F. Whitney
Pushmeet Kohli
J. Tenenbaum
DRLBDL
105
930
0
11 Mar 2015
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GANDRL
184
1,962
0
16 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GANSyDaAI4CE
267
10,438
0
06 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
496
43,717
0
17 Sep 2014
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data
Yin Zheng
Yujin Zhang
Hugo Larochelle
BDL
83
63
0
13 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
580
27,338
0
01 Sep 2014
Semi-Supervised Learning with Deep Generative Models
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma
Danilo Jimenez Rezende
S. Mohamed
Max Welling
GANSSLBDL
105
2,746
0
20 Jun 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
458
16,922
0
20 Dec 2013
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
290
10,550
0
01 Nov 2007
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