Architectures

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NeurIPS 2011 Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NeurIPS 2011 Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NeurIPS 2011 From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NeurIPS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 In All Likelihood, Deep Belief Is Not Enough JMLR 2011 Kernel Analysis of Deep Networks JMLR 2011 Large-Scale Category Structure Aware Image Categorization NeurIPS 2011 Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011 Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NeurIPS 2011 Learning to Learn with Compound HD Models NeurIPS 2011 Mixed-Variate Restricted Boltzmann Machines ACML 2011 Natural Language Processing (Almost) from Scratch JMLR 2011 Practical Variational Inference for Neural Networks NeurIPS 2011 Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets ACML 2011 See the Tree Through the Lines: The Shazoo Algorithm NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Sequence learning with hidden units in spiking neural networks NeurIPS 2011 Shallow vs. Deep Sum-Product Networks NeurIPS 2011 Sparse Filtering NeurIPS 2011 Structured sparse coding via lateral inhibition NeurIPS 2011 The Kernel Beta Process NeurIPS 2011 The Manifold Tangent Classifier NeurIPS 2011 The Neural Autoregressive Distribution Estimator AISTATS 2011