Deep Learning

Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots CVPR 2013 Wavelets on Graphs via Deep Learning NeurIPS 2013 Weakly Supervised Learning for Attribute Localization in Outdoor Scenes CVPR 2013 Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines CVPR 2013 What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NeurIPS 2013 What Makes a Patch Distinct? CVPR 2013 When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NeurIPS 2013 Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions ICCV 2013 Zero-Shot Learning Through Cross-Modal Transfer NeurIPS 2013 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model NeurIPS 2012 A Better Way to Pretrain Deep Boltzmann Machines NeurIPS 2012 Accuracy at the Top NeurIPS 2012 A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012 A dynamic excitatory-inhibitory network in a VLSI chip for spiking information reregistrations NeurIPS 2012 Affine Independent Variational Inference NeurIPS 2012 A Generative Model for Parts-based Object Segmentation NeurIPS 2012 A Hybrid Neural Network-Latent Topic Model AISTATS 2012 Analog readout for optical reservoir computers NeurIPS 2012 A Neural Autoregressive Topic Model NeurIPS 2012 Angular Quantization-based Binary Codes for Fast Similarity Search NeurIPS 2012 A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012 Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NeurIPS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012