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Embedding Learning

3751 directly classified papers

Papers per year

Papers

Predictable Dual-View Hashing ICML 2013
Generalized Domain-Adaptive Dictionaries CVPR 2013
Fast Max-Margin Matrix Factorization with Data Augmentation 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
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ICML 2013
Parallel Vector Field Embedding JMLR 2013
Riemannian Similarity Learning ICML 2013
K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes CVPR 2013
Semi-supervised Eigenvectors for Locally-biased Learning NIPS 2012
Angular Quantization-based Binary Codes for Fast Similarity Search NIPS 2012
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NIPS 2012
Isotropic Hashing NIPS 2012
Primal-Dual methods for sparse constrained matrix completion AISTATS 2012
Super-Bit Locality-Sensitive Hashing NIPS 2012
Hamming Distance Metric Learning NIPS 2012
Exploiting Unrelated Tasks in Multi-Task Learning AISTATS 2012
Random Feature Maps for Dot Product Kernels AISTATS 2012
Topic-Partitioned Multinetwork Embeddings NIPS 2012
Distance Preserving Embeddings for General n-Dimensional Manifolds COLT 2012
SVDFeature: A Toolkit for Feature-based Collaborative Filtering JMLR 2012
Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012
Co-Regularized Hashing for Multimodal Data NIPS 2012
A latent factor model for highly multi-relational data NIPS 2012
Learning the Dependency Structure of Latent Factors NIPS 2012