Embedding Learning

Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes ICCV 2015 Regressive Virtual Metric Learning NeurIPS 2015 Scalable Model Selection for Large-Scale Factorial Relational Models ICML 2015 Scalable Nonlinear Embeddings for Semantic Category-Based Image Retrieval ICCV 2015 Scene Classification With Semantic Fisher Vectors CVPR 2015 Semantics-Preserving Hashing for Cross-View Retrieval CVPR 2015 Semi-Supervised Learning With Explicit Relationship Regularization CVPR 2015 Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis ICCV 2015 Similarity Learning for High-Dimensional Sparse Data AISTATS 2015 Simultaneous Feature Learning and Hash Coding With Deep Neural Networks CVPR 2015 Space-Time Local Embeddings NeurIPS 2015 Sparse Local Embeddings for Extreme Multi-label Classification NeurIPS 2015 Sparse Projections for High-Dimensional Binary Codes CVPR 2015 Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NeurIPS 2015 Supervised Discrete Hashing CVPR 2015 The Kendall and Mallows Kernels for Permutations ICML 2015 The Poisson Gamma Belief Network NeurIPS 2015 Tree Quantization for Large-Scale Similarity Search and Classification CVPR 2015 Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction ICCV 2015 Universal Value Function Approximators ICML 2015 Visalogy: Answering Visual Analogy Questions NeurIPS 2015 Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization NeurIPS 2015 Zero-Shot Learning via Semantic Similarity Embedding ICCV 2015 Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014 Affinity Weighted Embedding ICML 2014