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Embedding Learning

3751 directly classified papers

Papers per year

Papers

Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis ICML 2015
Eigenwords: Spectral Word Embeddings JMLR 2015
Learning Concept Embeddings With Combined Human-Machine Expertise ICCV 2015
Cross-domain recommendation without shared users or items by sharing latent vector distributions AISTATS 2015
Supervised Discrete Hashing CVPR 2015
Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection CVPR 2015
Online Sketching Hashing CVPR 2015
Semi-Supervised Learning With Explicit Relationship Regularization CVPR 2015
Learning Word Representations with Hierarchical Sparse Coding ICML 2015
Alternating Co-Quantization for Cross-Modal Hashing ICCV 2015
Compact Random Feature Maps ICML 2014
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping NIPS 2014
Linear-time training of nonlinear low-dimensional embeddings AISTATS 2014
Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014
Robust 3D Tracking with Descriptor Fields CVPR 2014
Multi-feature Spectral Clustering with Minimax Optimization CVPR 2014
Learning Ordered Representations with Nested Dropout ICML 2014
Learning Distributed Representations for Structured Output Prediction NIPS 2014
Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014
Dimensionality Reduction with Subspace Structure Preservation NIPS 2014
Affinity Weighted Embedding ICML 2014
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence AISTATS 2014
A Unified Semantic Embedding: Relating Taxonomies and Attributes NIPS 2014
Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search ICML 2014