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Embedding Learning

3751 directly classified papers

Papers per year

Papers

Multi-View Complementary Hash Tables for Nearest Neighbor Search ICCV 2015
FAemb: A Function Approximation-Based Embedding Method for Image Retrieval CVPR 2015
Objects2action: Classifying and Localizing Actions Without Any Video Example ICCV 2015
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization NIPS 2015
Simultaneous Feature Learning and Hash Coding With Deep Neural Networks CVPR 2015
Sparse Projections for High-Dimensional Binary Codes CVPR 2015
Space-Time Local Embeddings NIPS 2015
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs ICCV 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