A Spike and Slab Restricted Boltzmann Machine
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[1] T. J. Mitchell,et al. Bayesian Variable Selection in Linear Regression , 1988 .
[2] David Haussler,et al. Unsupervised learning of distributions on binary vectors using two layer networks , 1991, NIPS 1991.
[3] Richard S. Zemel,et al. Directional-Unit Boltzmann Machines , 1992, NIPS.
[4] Geoffrey E. Hinton,et al. Bayesian Learning for Neural Networks , 1995 .
[5] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[6] L. Younes. On the convergence of markovian stochastic algorithms with rapidly decreasing ergodicity rates , 1999 .
[7] Geoffrey E. Hinton,et al. Learning Sparse Topographic Representations with Products of Student-t Distributions , 2002, NIPS.
[8] Christopher K. I. Williams,et al. Products of Gaussians and Probabilistic Minor Component Analysis , 2002, Neural Computation.
[9] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[10] Alan F. Murray,et al. Continuous restricted Boltzmann machine with an implementable training algorithm , 2003 .
[11] Miguel Á. Carreira-Perpiñán,et al. On Contrastive Divergence Learning , 2005, AISTATS.
[12] Geoffrey E. Hinton,et al. Restricted Boltzmann machines for collaborative filtering , 2007, ICML '07.
[13] Roger B. Grosse,et al. Shift-Invariance Sparse Coding for Audio Classification , 2007, UAI.
[14] Geoffrey E. Hinton,et al. The Recurrent Temporal Restricted Boltzmann Machine , 2008, NIPS.
[15] Geoffrey E. Hinton,et al. Implicit Mixtures of Restricted Boltzmann Machines , 2008, NIPS.
[16] Antonio Torralba,et al. Ieee Transactions on Pattern Analysis and Machine Intelligence 1 80 Million Tiny Images: a Large Dataset for Non-parametric Object and Scene Recognition , 2022 .
[17] Tijmen Tieleman,et al. Training restricted Boltzmann machines using approximations to the likelihood gradient , 2008, ICML '08.
[18] Yoshua Bengio,et al. Classification using discriminative restricted Boltzmann machines , 2008, ICML '08.
[19] Geoffrey E. Hinton,et al. Factored conditional restricted Boltzmann Machines for modeling motion style , 2009, ICML '09.
[20] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[21] Geoffrey E. Hinton,et al. Deep Boltzmann Machines , 2009, AISTATS.
[22] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[23] A. Krizhevsky. Convolutional Deep Belief Networks on CIFAR-10 , 2010 .
[24] Geoffrey E. Hinton,et al. Modeling pixel means and covariances using factorized third-order boltzmann machines , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[25] Geoffrey E. Hinton,et al. Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images , 2010, AISTATS.
[26] Luca Maria Gambardella,et al. High-Performance Neural Networks for Visual Object Classification , 2011, ArXiv.
[27] Honglak Lee,et al. An Analysis of Single-Layer Networks in Unsupervised Feature Learning , 2011, AISTATS.