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Embedding Learning

3751 directly classified papers

Papers per year

Papers

SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors CVPR 2013
Large-Scale Video Hashing via Structure Learning ICCV 2013
Binary Code Ranking with Weighted Hamming Distance CVPR 2013
Learning Binary Codes for High-Dimensional Data Using Bilinear Projections CVPR 2013
Learning Coupled Feature Spaces for Cross-Modal Matching ICCV 2013
Robust Low Rank Kernel Embeddings of Multivariate Distributions NIPS 2013
Analogy-preserving Semantic Embedding for Visual Object Categorization ICML 2013
Multilinear Dynamical Systems for Tensor Time Series NIPS 2013
Semantic-Aware Co-indexing for Image Retrieval ICCV 2013
Face Recognition via Archetype Hull Ranking ICCV 2013
Learning word embeddings efficiently with noise-contrastive estimation NIPS 2013
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NIPS 2013
Distributed Representations of Words and Phrases and their Compositionality NIPS 2013
The Power of Asymmetry in Binary Hashing NIPS 2013
DeViSE: A Deep Visual-Semantic Embedding Model NIPS 2013
Compressive Feature Learning NIPS 2013
Sign Cauchy Projections and Chi-Square Kernel NIPS 2013
Learning Multi-level Sparse Representations NIPS 2013
Translating Embeddings for Modeling Multi-relational Data NIPS 2013
General Functional Matrix Factorization Using Gradient Boosting ICML 2013
Generalized Aitchison Embeddings for Histograms ACML 2013
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning ICML 2013
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification ICML 2013
On Compact Codes for Spatially Pooled Features ICML 2013
Convex Collective Matrix Factorization AISTATS 2013