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Embedding Learning

3751 directly classified papers

Papers per year

Papers

DFacTo: Distributed Factorization of Tensors NIPS 2014
Neural Word Embedding as Implicit Matrix Factorization NIPS 2014
Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014
Zeta Hull Pursuits: Learning Nonconvex Data Hulls NIPS 2014
Wasserstein Propagation for Semi-Supervised Learning ICML 2014
Distributed Representations of Sentences and Documents ICML 2014
Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014
Large-scale Multi-label Learning with Missing Labels ICML 2014
Face Alignment at 3000 FPS via Regressing Local Binary Features CVPR 2014
Circulant Binary Embedding ICML 2014
Hierarchical Feature Hashing for Fast Dimensionality Reduction CVPR 2014
Associative Embeddings for Large-scale Knowledge Transfer with Self-assessment CVPR 2014
Single Image Super-resolution using Deformable Patches CVPR 2014
Triangulation Embedding and Democratic Aggregation for Image Search CVPR 2014
Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014
Discriminative Deep Metric Learning for Face Verification in the Wild CVPR 2014
Local Ordinal Embedding ICML 2014
Ground Metric Learning JMLR 2014
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations NIPS 2014
Collaborative Hashing CVPR 2014
Learning Coupled Feature Spaces for Cross-Modal Matching ICCV 2013
Large-Scale Video Hashing via Structure Learning ICCV 2013
Analogy-preserving Semantic Embedding for Visual Object Categorization ICML 2013
From Local Similarity to Global Coding: An Application to Image Classification CVPR 2013
A General Two-Step Approach to Learning-Based Hashing ICCV 2013