Embedding Learning

Metric Learning with Multiple Kernels NeurIPS 2011 Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011 Multi-View Learning of Word Embeddings via CCA NeurIPS 2011 PiCoDes: Learning a Compact Code for Novel-Category Recognition NeurIPS 2011 Randomized Algorithms for Comparison-based Search NeurIPS 2011 Similarity-based Learning via Data Driven Embeddings NeurIPS 2011 Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011 Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011 Theoretical Analysis of Bayesian Matrix Factorization JMLR 2011 CUR from a Sparse Optimization Viewpoint NeurIPS 2010 Deep Coding Network NeurIPS 2010 Factorized Orthogonal Latent Spaces AISTATS 2010 Feature Set Embedding for Incomplete Data NeurIPS 2010 Half Transductive Ranking AISTATS 2010 Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning NeurIPS 2010 Label Embedding Trees for Large Multi-Class Tasks NeurIPS 2010 Large Scale Online Learning of Image Similarity Through Ranking JMLR 2010 Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence JMLR 2010 Learning Kernels with Radiuses of Minimum Enclosing Balls NeurIPS 2010 On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010 Pose-Sensitive Embedding by Nonlinear NCA Regression NeurIPS 2010 (RF)^2 -- Random Forest Random Field NeurIPS 2010 Sphere Embedding: An Application to Part-of-Speech Induction NeurIPS 2010 Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010 Canonical Time Warping for Alignment of Human Behavior NeurIPS 2009