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Unsupervised Learning via Total Correlation Explanation

Unsupervised Learning via Total Correlation Explanation

27 June 2017
Greg Ver Steeg
    SSL
    DRL
    LRM
ArXivPDFHTML

Papers citing "Unsupervised Learning via Total Correlation Explanation"

18 / 18 papers shown
Title
Fast structure learning with modular regularization
Fast structure learning with modular regularization
Greg Ver Steeg
Hrayr Harutyunyan
Daniel Moyer
Aram Galstyan
47
6
0
11 Jun 2017
Nonlinear Information Bottleneck
Nonlinear Information Bottleneck
Artemy Kolchinsky
Brendan D. Tracey
David Wolpert
55
156
0
06 May 2017
Anchored Correlation Explanation: Topic Modeling with Minimal Domain
  Knowledge
Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge
Ryan J. Gallagher
Kyle Reing
David C. Kale
Greg Ver Steeg
133
173
0
30 Nov 2016
Information Dropout: Learning Optimal Representations Through Noisy
  Computation
Information Dropout: Learning Optimal Representations Through Noisy Computation
Alessandro Achille
Stefano Soatto
OOD
DRL
SSL
57
401
0
04 Nov 2016
Toward Interpretable Topic Discovery via Anchored Correlation
  Explanation
Toward Interpretable Topic Discovery via Anchored Correlation Explanation
Kyle Reing
David C. Kale
Greg Ver Steeg
Aram Galstyan
21
14
0
22 Jun 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
157
4,232
0
12 Jun 2016
Sifting Common Information from Many Variables
Sifting Common Information from Many Variables
Greg Ver Steeg
Shuyang Gao
Kyle Reing
Aram Galstyan
32
8
0
07 Jun 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
261
11,149
0
14 Mar 2016
Progressive EM for Latent Tree Models and Hierarchical Topic Detection
Progressive EM for Latent Tree Models and Hierarchical Topic Detection
Peixian Chen
N. Zhang
Leonard K. M. Poon
Zhourong Chen
31
26
0
05 Aug 2015
The Information Sieve
The Information Sieve
Greg Ver Steeg
Aram Galstyan
35
19
0
08 Jul 2015
Deep Learning and the Information Bottleneck Principle
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
181
1,582
0
09 Mar 2015
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRL
BDL
121
2,257
0
30 Oct 2014
Maximally Informative Hierarchical Representations of High-Dimensional
  Data
Maximally Informative Hierarchical Representations of High-Dimensional Data
Greg Ver Steeg
Aram Galstyan
TPM
70
65
0
27 Oct 2014
Optimal high-level descriptions of dynamical systems
Optimal high-level descriptions of dynamical systems
David Wolpert
Joshua A. Grochow
E. Libby
Simon DeDeo
AI4CE
31
5
0
25 Sep 2014
Discovering Structure in High-Dimensional Data Through Correlation
  Explanation
Discovering Structure in High-Dimensional Data Through Correlation Explanation
Greg Ver Steeg
Aram Galstyan
CML
68
99
0
04 Jun 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
253
14,912
1
21 Dec 2013
Demystifying Information-Theoretic Clustering
Demystifying Information-Theoretic Clustering
Greg Ver Steeg
Aram Galstyan
Fei Sha
Simon DeDeo
61
28
0
15 Oct 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
243
12,422
0
24 Jun 2012
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