Representation Learning

Variational Gaussian Process State-Space Models NeurIPS 2014 Visual Tracking via Probability Continuous Outlier Model CVPR 2014 What Regularized Auto-Encoders Learn from the Data-Generating Distribution JMLR 2014 Zeta Hull Pursuits: Learning Nonconvex Data Hulls NeurIPS 2014 3D-Based Reasoning with Blocks, Support, and Stability CVPR 2013 3D R Transform on Spatio-temporal Interest Points for Action Recognition CVPR 2013 A Bayesian Approach to Multimodal Visual Dictionary Learning CVPR 2013 Action Recognition by Hierarchical Sequence Summarization CVPR 2013 Adaptive Sparsity in Gaussian Graphical Models ICML 2013 A Deep Architecture for Matching Short Texts NeurIPS 2013 A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NeurIPS 2013 Affine-Constrained Group Sparse Coding and Its Application to Image-Based Classifications ICCV 2013 A Fully Hierarchical Approach for Finding Correspondences in Non-rigid Shapes ICCV 2013 A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting ICCV 2013 All About VLAD CVPR 2013 A Machine Learning Approach for Non-blind Image Deconvolution CVPR 2013 A Machine Learning Framework for Programming by Example ICML 2013 A Max-Margin Perspective on Sparse Representation-Based Classification ICCV 2013 A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013 A memory frontier for complex synapses NeurIPS 2013 Analogy-preserving Semantic Embedding for Visual Object Categorization ICML 2013 Analyzing the Harmonic Structure in Graph-Based Learning NeurIPS 2013 A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013 An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation ICML 2013 A New Convex Relaxation for Tensor Completion NeurIPS 2013