A Generative Process for sampling Contractive Auto-Encoders
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Yoshua Bengio | Salah Rifai | Pascal Vincent | Yann N. Dauphin | Yoshua Bengio | Pascal Vincent | Yann Dauphin | S. Rifai | Y. Dauphin | Salah Rifai
[1] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[2] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[3] Quoc V. Le,et al. Measuring Invariances in Deep Networks , 2009, NIPS.
[4] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.
[5] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[6] Pascal Vincent,et al. Non-Local Manifold Parzen Windows , 2005, NIPS.
[7] Yoshua Bengio,et al. Nonlocal Estimation of Manifold Structure , 2006, Neural Computation.
[8] Yoshua Bengio,et al. Non-Local Manifold Tangent Learning , 2004, NIPS.
[9] Pascal Vincent,et al. Contractive Auto-Encoders: Explicit Invariance During Feature Extraction , 2011, ICML.
[10] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[11] Andrew Y. Ng,et al. Selecting Receptive Fields in Deep Networks , 2011, NIPS.
[12] Christopher M. Bishop,et al. Mixtures of Probabilistic Principal Component Analyzers , 1999, Neural Computation.
[13] Pascal Vincent,et al. Quickly Generating Representative Samples from an RBM-Derived Process , 2011, Neural Computation.
[14] Yann LeCun,et al. Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network , 1991, NIPS.
[15] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[16] Hariharan Narayanan,et al. Sample Complexity of Testing the Manifold Hypothesis , 2010, NIPS.
[17] Geoffrey E. Hinton,et al. On deep generative models with applications to recognition , 2011, CVPR 2011.
[18] Pascal Vincent,et al. The Manifold Tangent Classifier , 2011, NIPS.