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MPCC: Matching Priors and Conditionals for Clustering

MPCC: Matching Priors and Conditionals for Clustering

21 August 2020
N. Astorga
P. Huijse
P. Protopapas
P. Estévez
ArXivPDFHTML

Papers citing "MPCC: Matching Priors and Conditionals for Clustering"

21 / 21 papers shown
Title
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
163
3,803
0
12 Jul 2019
Stacked Capsule Autoencoders
Stacked Capsule Autoencoders
Adam R. Kosiorek
S. Sabour
Yee Whye Teh
Geoffrey E. Hinton
OCL
36
262
0
17 Jun 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
104
2,306
0
29 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
502
10,500
0
12 Dec 2018
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSL
VLM
60
846
0
17 Jul 2018
On GANs and GMMs
On GANs and GMMs
Eitan Richardson
Yair Weiss
GAN
118
150
0
31 May 2018
Distribution Matching in Variational Inference
Distribution Matching in Variational Inference
Mihaela Rosca
Balaji Lakshminarayanan
S. Mohamed
GAN
CML
DRL
51
98
0
19 Feb 2018
Diverse and Accurate Image Description Using a Variational Auto-Encoder
  with an Additive Gaussian Encoding Space
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
Liwei Wang
Alex Schwing
Svetlana Lazebnik
CoGe
71
175
0
19 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
165
8,807
0
25 Aug 2017
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data
Swaminathan Gurumurthy
Ravi Kiran Sarvadevabhatla
R. Venkatesh Babu
GAN
55
271
0
07 Jun 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational
  Learning
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava
Lazar Valkov
Chris Russell
Michael U. Gutmann
Charles Sutton
SyDa
GAN
48
677
0
22 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
130
9,509
0
31 Mar 2017
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
253
4,554
0
13 Nov 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
368
8,999
0
10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
90
1,648
0
02 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
59
1,312
0
02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
82
1,827
0
31 May 2016
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
65
2,855
0
19 Nov 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
66
2,224
0
18 Nov 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
358
16,962
0
20 Dec 2013
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
111
1,830
0
20 Dec 2013
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