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Embedding Learning

3,753 papers

Papers per year

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Papers

Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014
Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014
Associative Embeddings for Large-scale Knowledge Transfer with Self-assessment CVPR 2014
Hierarchical Feature Hashing for Fast Dimensionality Reduction CVPR 2014
Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014
Collaborative Hashing CVPR 2014
Single Image Super-resolution using Deformable Patches CVPR 2014
Triangulation Embedding and Democratic Aggregation for Image Search CVPR 2014
Robust 3D Tracking with Descriptor Fields CVPR 2014
Multi-feature Spectral Clustering with Minimax Optimization CVPR 2014
Wasserstein Propagation for Semi-Supervised Learning ICML 2014
Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search ICML 2014
Large-scale Multi-label Learning with Missing Labels ICML 2014
Compact Random Feature Maps ICML 2014
Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014
Local Ordinal Embedding ICML 2014
Circulant Binary Embedding ICML 2014
Distributed Representations of Sentences and Documents ICML 2014
Affinity Weighted Embedding ICML 2014
Learning Ordered Representations with Nested Dropout ICML 2014
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014
Ground Metric Learning JMLR 2014
Translating Embeddings for Modeling Multi-relational Data NIPS 2013
Learning Multi-level Sparse Representations NIPS 2013
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NIPS 2013