Embedding Learning
3,795 papers
Papers per year
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85
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Papers
Label-Embedding for Attribute-Based Classification
CVPR 2013
Large-Scale Video Hashing via Structure Learning
ICCV 2013
Learning Binary Codes for High-Dimensional Data Using Bilinear Projections
CVPR 2013
Learning Coupled Feature Spaces for Cross-Modal Matching
ICCV 2013
Learning Multi-level Sparse Representations
NeurIPS 2013
Learning word embeddings efficiently with noise-contrastive estimation
NeurIPS 2013
Multilinear Dynamical Systems for Tensor Time Series
NeurIPS 2013
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning
ICML 2013
On Compact Codes for Spatially Pooled Features
ICML 2013
Parallel Vector Field Embedding
JMLR 2013
Predictable Dual-View Hashing
ICML 2013
Riemannian Similarity Learning
ICML 2013
Robust Low Rank Kernel Embeddings of Multivariate Distributions
NeurIPS 2013
SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors
CVPR 2013
Semantic-Aware Co-indexing for Image Retrieval
ICCV 2013
Sign Cauchy Projections and Chi-Square Kernel
NeurIPS 2013
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning
ICML 2013
Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing
JMLR 2013
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification
ICML 2013
The Power of Asymmetry in Binary Hashing
NeurIPS 2013
Translating Embeddings for Modeling Multi-relational Data
NeurIPS 2013
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
NeurIPS 2013
A latent factor model for highly multi-relational data
NeurIPS 2012
Angular Quantization-based Binary Codes for Fast Similarity Search
NeurIPS 2012
Co-Regularized Hashing for Multimodal Data
NeurIPS 2012