Deep Learning

Efficient Match Kernel between Sets of Features for Visual Recognition NeurIPS 2009 Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NeurIPS 2009 Exploring Strategies for Training Deep Neural Networks JMLR 2009 Fast Image Deconvolution using Hyper-Laplacian Priors NeurIPS 2009 Fast subtree kernels on graphs NeurIPS 2009 Free energy score space NeurIPS 2009 Heavy-Tailed Symmetric Stochastic Neighbor Embedding NeurIPS 2009 Kernel Methods for Deep Learning NeurIPS 2009 Learning a Small Mixture of Trees NeurIPS 2009 Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition NeurIPS 2009 Learning in Markov Random Fields using Tempered Transitions NeurIPS 2009 Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NeurIPS 2009 Learning transport operators for image manifolds NeurIPS 2009 Measuring Invariances in Deep Networks NeurIPS 2009 NEUROSVM: An Architecture to Reduce the Effect of the Choice of Kernel on the Performance of SVM JMLR 2009 Nonlinear Learning using Local Coordinate Coding NeurIPS 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 On Invariance in Hierarchical Models NeurIPS 2009 On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation NeurIPS 2009 Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification NeurIPS 2009 Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NeurIPS 2009 Particle-based Variational Inference for Continuous Systems NeurIPS 2009 Periodic Step Size Adaptation for Single Pass On-line Learning NeurIPS 2009 Polynomial Semantic Indexing NeurIPS 2009 Posterior vs Parameter Sparsity in Latent Variable Models NeurIPS 2009