Representation Learning

Decorrelating Semantic Visual Attributes by Resisting the Urge to Share CVPR 2014 Deep AutoRegressive Networks ICML 2014 Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters CVPR 2014 Deep Fragment Embeddings for Bidirectional Image Sentence Mapping NeurIPS 2014 Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction ICML 2014 Deep Symmetry Networks NeurIPS 2014 Describing Textures in the Wild CVPR 2014 Design Principles of the Hippocampal Cognitive Map NeurIPS 2014 Detecting Objects using Deformation Dictionaries CVPR 2014 Deterministic Symmetric Positive Semidefinite Matrix Completion NeurIPS 2014 Dimensionality Reduction with Subspace Structure Preservation NeurIPS 2014 Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014 Dirichlet-based Histogram Feature Transform for Image Classification CVPR 2014 Discovering Structure in High-Dimensional Data Through Correlation Explanation NeurIPS 2014 Discrete Graph Hashing NeurIPS 2014 Discriminative Features via Generalized Eigenvectors ICML 2014 Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities CVPR 2014 Discriminative Unsupervised Feature Learning with Convolutional Neural Networks NeurIPS 2014 Diverse Sequential Subset Selection for Supervised Video Summarization NeurIPS 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull NeurIPS 2014 Do Deep Nets Really Need to be Deep? NeurIPS 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014 Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014 Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014 Efficient Learning and Planning with Compressed Predictive States JMLR 2014