Representation Learning

General Stochastic Networks for Classification NeurIPS 2014 Geodesic Distance Function Learning via Heat Flow on Vector Fields ICML 2014 Graph Estimation From Multi-Attribute Data JMLR 2014 Grassmann Averages for Scalable Robust PCA CVPR 2014 Hierarchical Feature Hashing for Fast Dimensionality Reduction CVPR 2014 Histograms of Pattern Sets for Image Classification and Object Recognition CVPR 2014 How transferable are features in deep neural networks? NeurIPS 2014 Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014 Immediate, Scalable Object Category Detection CVPR 2014 Improved Multimodal Deep Learning with Variation of Information NeurIPS 2014 Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit NeurIPS 2014 Inferring Unseen Views of People CVPR 2014 Influence Function Learning in Information Diffusion Networks ICML 2014 Information-Theoretic Characterization of Sparse Recovery AISTATS 2014 Interpretable Sparse High-Order Boltzmann Machines AISTATS 2014 Is Rotation a Nuisance in Shape Recognition? CVPR 2014 Kernel Mean Estimation and Stein Effect ICML 2014 Kernel Mean Estimation via Spectral Filtering NeurIPS 2014 Kernel-PCA Analysis of Surface Normals for Shape-from-Shading CVPR 2014 K-means recovers ICA filters when independent components are sparse ICML 2014 Large-Margin Convex Polytope Machine NeurIPS 2014 Large-margin Weakly Supervised Dimensionality Reduction ICML 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Large Scale Multi-view Stereopsis Evaluation CVPR 2014 Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images CVPR 2014