Deep Learning

Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Gated Softmax Classification NeurIPS 2010 Generating more realistic images using gated MRF's NeurIPS 2010 Generative Local Metric Learning for Nearest Neighbor Classification NeurIPS 2010 Global Analytic Solution for Variational Bayesian Matrix Factorization NeurIPS 2010 Group Sparse Coding with a Laplacian Scale Mixture Prior NeurIPS 2010 Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NeurIPS 2010 Improving posterior marginal approximations in latent Gaussian models AISTATS 2010 Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010 Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NeurIPS 2010 Joint Cascade Optimization Using A Product Of Boosted Classifiers NeurIPS 2010 Kernel Descriptors for Visual Recognition NeurIPS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NeurIPS 2010 Layer-wise analysis of deep networks with Gaussian kernels NeurIPS 2010 Learning Convolutional Feature Hierarchies for Visual Recognition NeurIPS 2010 Learning from Candidate Labeling Sets NeurIPS 2010 Learning to combine foveal glimpses with a third-order Boltzmann machine NeurIPS 2010 Learning To Count Objects in Images NeurIPS 2010 Learning to localise sounds with spiking neural networks NeurIPS 2010 Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010 LSTD with Random Projections NeurIPS 2010 Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NeurIPS 2010 Multitask Learning without Label Correspondences NeurIPS 2010