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Embedding Learning

3,753 papers

Papers per year

2
14
58
474
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Papers

Primal-Dual methods for sparse constrained matrix completion AISTATS 2012
Distance Preserving Embeddings for General n-Dimensional Manifolds COLT 2012
Metric and Kernel Learning Using a Linear Transformation JMLR 2012
Sally: A Tool for Embedding Strings in Vector Spaces JMLR 2012
SVDFeature: A Toolkit for Feature-based Collaborative Filtering JMLR 2012
PiCoDes: Learning a Compact Code for Novel-Category Recognition NIPS 2011
Metric Learning with Multiple Kernels NIPS 2011
Dimensionality Reduction Using the Sparse Linear Model NIPS 2011
Similarity-based Learning via Data Driven Embeddings NIPS 2011
Multi-View Learning of Word Embeddings via CCA NIPS 2011
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators NIPS 2011
Learning a Distance Metric from a Network NIPS 2011
Randomized Algorithms for Comparison-based Search NIPS 2011
Learning to Search Efficiently in High Dimensions NIPS 2011
Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011
Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” AISTATS 2011
Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011
Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011
Improving Bilingual Projections via Sparse Covariance Matrices EMNLP 2011
Learning Multi-modal Similarity JMLR 2011
A Family of Simple Non-Parametric Kernel Learning Algorithms JMLR 2011
Theoretical Analysis of Bayesian Matrix Factorization JMLR 2011
Learning Kernels with Radiuses of Minimum Enclosing Balls NIPS 2010
Label Embedding Trees for Large Multi-Class Tasks NIPS 2010
Deep Coding Network NIPS 2010