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A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data

A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data

13 September 2014
Yin Zheng
Yujin Zhang
Hugo Larochelle
    BDL
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Papers citing "A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data"

5 / 5 papers shown
Title
Multimodal Deep Learning
Multimodal Deep Learning
Cem Akkus
Jiquan Ngiam
Vladana Djakovic
Steffen Jauch-Walser
A. Khosla
...
Jann Goschenhofer
Honglak Lee
A. Ng
Daniel Schalk
Matthias Aßenmacher
104
3,169
0
12 Jan 2023
A Deep and Tractable Density Estimator
A Deep and Tractable Density Estimator
Benigno Uria
Iain Murray
Hugo Larochelle
BDL
91
193
0
07 Oct 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
436
7,658
0
03 Jul 2012
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
241
12,422
0
24 Jun 2012
Supervised Topic Models
Supervised Topic Models
David M. Blei
Jon D. McAuliffe
BDL
114
1,788
0
03 Mar 2010
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