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Embedding Learning

3751 directly classified papers

Papers per year

Papers

Regressive Virtual Metric Learning NIPS 2015
The Poisson Gamma Belief Network NIPS 2015
Deep Visual Analogy-Making NIPS 2015
Sparse Projections for High-Dimensional Binary Codes CVPR 2015
Deep Correlation for Matching Images and Text CVPR 2015
Fine-Grained Visual Categorization via Multi-Stage Metric Learning CVPR 2015
Scene Classification With Semantic Fisher Vectors CVPR 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering CVPR 2015
Similarity Learning for High-Dimensional Sparse Data AISTATS 2015
A fast, universal algorithm to learn parametric nonlinear embeddings NIPS 2015
Low Dimensional Explicit Feature Maps ICCV 2015
Learning Program Embeddings to Propagate Feedback on Student Code ICML 2015
Semantics-Preserving Hashing for Cross-View Retrieval CVPR 2015
Scalable Model Selection for Large-Scale Factorial Relational Models ICML 2015
Bilinear Random Projections for Locality-Sensitive Binary Codes CVPR 2015
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NIPS 2015
The Kendall and Mallows Kernels for Permutations ICML 2015
On Symmetric and Asymmetric LSHs for Inner Product Search ICML 2015
Binary Embedding: Fundamental Limits and Fast Algorithm ICML 2015
Majorization-Minimization for Manifold Embedding AISTATS 2015
An NMF Perspective on Binary Hashing ICCV 2015
Metric recovery from directed unweighted graphs AISTATS 2015
Universal Value Function Approximators ICML 2015
Multiview Triplet Embedding: Learning Attributes in Multiple Maps ICML 2015
BilBOWA: Fast Bilingual Distributed Representations without Word Alignments ICML 2015