Representation Learning

Adaptive dropout for training deep neural networks NeurIPS 2013 Adding Unlabeled Samples to Categories by Learned Attributes CVPR 2013 A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit CVPR 2013 A Novel Two-Step Method for Cross Language Representation Learning NeurIPS 2013 BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition CVPR 2013 Cartesian K-Means CVPR 2013 Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models CVPR 2013 Compressible Motion Fields CVPR 2013 Convex Two-Layer Modeling NeurIPS 2013 Correlated random features for fast semi-supervised learning NeurIPS 2013 Data-Driven 3D Primitives for Single Image Understanding ICCV 2013 Detection Evolution with Multi-order Contextual Co-occurrence CVPR 2013 Diffusion Processes for Retrieval Revisited CVPR 2013 Distributed Representations of Words and Phrases and their Compositionality NeurIPS 2013 Ensemble Projection for Semi-supervised Image Classification ICCV 2013 Fast Convolutional Sparse Coding CVPR 2013 Fine-Grained Categorization by Alignments ICCV 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 Histograms of Sparse Codes for Object Detection CVPR 2013 Improving Image Matting Using Comprehensive Sampling Sets CVPR 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013 Learning invariant representations and applications to face verification NeurIPS 2013 Learning Multiple Non-linear Sub-spaces Using K-RBMs CVPR 2013 Learning the Change for Automatic Image Cropping CVPR 2013