Deep Learning

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 Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Semantic Labeling of 3D Point Clouds for Indoor Scenes NeurIPS 2011 Semi-supervised Regression via Parallel Field Regularization 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 Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NeurIPS 2011 t-divergence Based Approximate Inference NeurIPS 2011 The Fixed Points of Off-Policy TD NeurIPS 2011 The Kernel Beta Process NeurIPS 2011 The Manifold Tangent Classifier NeurIPS 2011 The Neural Autoregressive Distribution Estimator AISTATS 2011 Transfer Learning by Borrowing Examples for Multiclass Object Detection NeurIPS 2011 Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011 Two-Layer Multiple Kernel Learning AISTATS 2011 Unsupervised learning models of primary cortical receptive fields and receptive field plasticity NeurIPS 2011 Variance Penalizing AdaBoost NeurIPS 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 Weisfeiler-Lehman Graph Kernels JMLR 2011 Why The Brain Separates Face Recognition From Object Recognition NeurIPS 2011