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Embedding Learning

3,753 papers

Papers per year

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Papers

General Functional Matrix Factorization Using Gradient Boosting ICML 2013
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ICML 2013
Riemannian Similarity Learning ICML 2013
On Compact Codes for Spatially Pooled Features ICML 2013
Analogy-preserving Semantic Embedding for Visual Object Categorization ICML 2013
Fast Max-Margin Matrix Factorization with Data Augmentation ICML 2013
Predictable Dual-View Hashing ICML 2013
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning ICML 2013
Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013
Distance Preserving Embeddings for General n-Dimensional Manifolds JMLR 2013
Parallel Vector Field Embedding JMLR 2013
Super-Bit Locality-Sensitive Hashing NIPS 2012
A latent factor model for highly multi-relational data NIPS 2012
Topic-Partitioned Multinetwork Embeddings NIPS 2012
Hamming Distance Metric Learning NIPS 2012
Co-Regularized Hashing for Multimodal Data NIPS 2012
Semi-supervised Eigenvectors for Locally-biased Learning NIPS 2012
Isotropic Hashing NIPS 2012
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NIPS 2012
Feature-aware Label Space Dimension Reduction for Multi-label Classification NIPS 2012
Learning the Dependency Structure of Latent Factors NIPS 2012
Angular Quantization-based Binary Codes for Fast Similarity Search NIPS 2012
Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012
Random Feature Maps for Dot Product Kernels AISTATS 2012
Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012