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Embedding Learning

3,753 papers

Papers per year

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474
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Papers

Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes JMLR 2016
Subspace Learning with Partial Information JMLR 2016
Distribution-Matching Embedding for Visual Domain Adaptation JMLR 2016
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels JMLR 2016
A fast, universal algorithm to learn parametric nonlinear embeddings NIPS 2015
Pointer Networks NIPS 2015
Regressive Virtual Metric Learning NIPS 2015
Sparse Local Embeddings for Extreme Multi-label Classification NIPS 2015
Visalogy: Answering Visual Analogy Questions NIPS 2015
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization NIPS 2015
Compressive spectral embedding: sidestepping the SVD NIPS 2015
Space-Time Local Embeddings NIPS 2015
Deep Visual Analogy-Making NIPS 2015
The Poisson Gamma Belief Network NIPS 2015
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NIPS 2015
Metric recovery from directed unweighted graphs AISTATS 2015
Cross-domain recommendation without shared users or items by sharing latent vector distributions AISTATS 2015
Similarity Learning for High-Dimensional Sparse Data AISTATS 2015
Majorization-Minimization for Manifold Embedding AISTATS 2015
Supervised Discrete Hashing CVPR 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering CVPR 2015
Bilinear Random Projections for Locality-Sensitive Binary Codes CVPR 2015
Semi-Supervised Learning With Explicit Relationship Regularization CVPR 2015
Online Sketching Hashing CVPR 2015
Evaluation of Output Embeddings for Fine-Grained Image Classification CVPR 2015