Embedding Learning

A Multiplicative Model for Learning Distributed Text-Based Attribute Representations NeurIPS 2014 Associative Embeddings for Large-scale Knowledge Transfer with Self-assessment CVPR 2014 A Unified Semantic Embedding: Relating Taxonomies and Attributes NeurIPS 2014 Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence AISTATS 2014 Circulant Binary Embedding ICML 2014 Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014 Collaborative Hashing CVPR 2014 Compact Random Feature Maps ICML 2014 Deep Fragment Embeddings for Bidirectional Image Sentence Mapping NeurIPS 2014 Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search ICML 2014 DFacTo: Distributed Factorization of Tensors NeurIPS 2014 Dimensionality Reduction with Subspace Structure Preservation NeurIPS 2014 Discriminative Deep Metric Learning for Face Verification in the Wild CVPR 2014 Distributed Representations of Sentences and Documents ICML 2014 Face Alignment at 3000 FPS via Regressing Local Binary Features CVPR 2014 Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014 Ground Metric Learning JMLR 2014 Hierarchical Feature Hashing for Fast Dimensionality Reduction CVPR 2014 Large-scale Multi-label Learning with Missing Labels ICML 2014 Learning Distributed Representations for Structured Output Prediction NeurIPS 2014 Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014 Learning Ordered Representations with Nested Dropout ICML 2014 Linear-time training of nonlinear low-dimensional embeddings AISTATS 2014 Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014 Local Ordinal Embedding ICML 2014