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Embedding Learning

3751 directly classified papers

Papers per year

Papers

Matching Networks for One Shot Learning NIPS 2016
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NIPS 2016
FAemb: A Function Approximation-Based Embedding Method for Image Retrieval CVPR 2015
Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction ICCV 2015
Multi-View Complementary Hash Tables for Nearest Neighbor Search ICCV 2015
Objects2action: Classifying and Localizing Actions Without Any Video Example ICCV 2015
Learning Temporal Embeddings for Complex Video Analysis ICCV 2015
Pointer Networks NIPS 2015
Visalogy: Answering Visual Analogy Questions NIPS 2015
Space-Time Local Embeddings NIPS 2015
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs ICCV 2015
Deep Visual Analogy-Making NIPS 2015
Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes ICCV 2015
MMSS: Multi-Modal Sharable and Specific Feature Learning for RGB-D Object Recognition ICCV 2015
Zero-Shot Learning via Semantic Similarity Embedding ICCV 2015
Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors CVPR 2015
Multi-Task Learning With Low Rank Attribute Embedding for Person Re-Identification ICCV 2015
The Poisson Gamma Belief Network NIPS 2015
Sparse Projections for High-Dimensional Binary Codes CVPR 2015
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization NIPS 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering CVPR 2015
Regressive Virtual Metric Learning NIPS 2015
Sparse Local Embeddings for Extreme Multi-label Classification NIPS 2015
Compressive spectral embedding: sidestepping the SVD NIPS 2015
Evaluation of Output Embeddings for Fine-Grained Image Classification CVPR 2015