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Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating
  Mechanisms

Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms

3 November 2019
Daeryong Kim
B. Suh
ArXivPDFHTML

Papers citing "Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms"

18 / 18 papers shown
Title
Sequential Variational Autoencoders for Collaborative Filtering
Sequential Variational Autoencoders for Collaborative Filtering
Noveen Sachdeva
Giuseppe Manco
Ettore Ritacco
Vikram Pudi
BDL
39
103
0
25 Nov 2018
Avoiding Latent Variable Collapse With Generative Skip Models
Avoiding Latent Variable Collapse With Generative Skip Models
Adji Bousso Dieng
Yoon Kim
Alexander M. Rush
David M. Blei
DRL
48
174
0
12 Jul 2018
Understanding disentangling in $β$-VAE
Understanding disentangling in βββ-VAE
Christopher P. Burgess
I. Higgins
Arka Pal
Loic Matthey
Nicholas Watters
Guillaume Desjardins
Alexander Lerchner
CoGe
DRL
62
829
0
10 Apr 2018
Variational Autoencoders for Collaborative Filtering
Variational Autoencoders for Collaborative Filtering
Dawen Liang
Rahul G. Krishnan
Matthew D. Hoffman
Tony Jebara
BDL
181
1,239
0
16 Feb 2018
Unsupervised Learning of Disentangled and Interpretable Representations
  from Sequential Data
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu
Yu Zhang
James R. Glass
BDL
SSL
78
352
0
22 Sep 2017
Personalizing Session-based Recommendations with Hierarchical Recurrent
  Neural Networks
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
Massimo Quadrana
Alexandros Karatzoglou
Balázs Hidasi
Paolo Cremonesi
38
646
0
13 Jun 2017
IRGAN: A Minimax Game for Unifying Generative and Discriminative
  Information Retrieval Models
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
Jun Wang
Lantao Yu
Weinan Zhang
Yu Gong
Yinghui Xu
Benyou Wang
Peng Zhang
Dell Zhang
83
600
0
30 May 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GAN
BDL
66
633
0
19 May 2017
Nonparametric Variational Auto-encoders for Hierarchical Representation
  Learning
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning
Prasoon Goyal
Zhiting Hu
Xiaodan Liang
Chenyu Wang
Eric Xing
CML
BDL
64
117
0
21 Mar 2017
Language Modeling with Gated Convolutional Networks
Language Modeling with Gated Convolutional Networks
Yann N. Dauphin
Angela Fan
Michael Auli
David Grangier
237
2,397
0
23 Dec 2016
Deep Variational Information Bottleneck
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
119
1,720
0
01 Dec 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational
  Autoencoders
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul
P. Mediano
M. Garnelo
M. J. Lee
Hugh Salimbeni
Kai Arulkumaran
Murray Shanahan
DRL
57
658
0
08 Nov 2016
Stick-Breaking Variational Autoencoders
Stick-Breaking Variational Autoencoders
Marco Cote
Padhraic Smyth
BDL
DRL
110
164
0
20 May 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDL
DRL
97
911
0
06 Feb 2016
Session-based Recommendations with Recurrent Neural Networks
Session-based Recommendations with Recurrent Neural Networks
Balázs Hidasi
Alexandros Karatzoglou
L. Baltrunas
D. Tikk
66
2,088
0
21 Nov 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
86
2,224
0
18 Nov 2015
Collaborative Deep Learning for Recommender Systems
Collaborative Deep Learning for Recommender Systems
Hao Wang
Naiyan Wang
Dit-Yan Yeung
BDL
117
1,618
0
10 Sep 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,933
0
20 Dec 2013
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