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Metric Learning

2800 directly classified papers

Papers per year

Papers

Generative Local Metric Learning for Kernel Regression NIPS 2017
Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification NIPS 2017
PRUNE: Preserving Proximity and Global Ranking for Network Embedding NIPS 2017
Stochastic Approximation for Canonical Correlation Analysis NIPS 2017
Clustering Billions of Reads for DNA Data Storage NIPS 2017
Asymmetric Feature Maps With Application to Sketch Based Retrieval CVPR 2017
Re-Ranking Person Re-Identification With k-Reciprocal Encoding CVPR 2017
Turn-Taking Offsets and Dialogue Context INTERSPEECH 2017
Joint Intensity and Spatial Metric Learning for Robust Gait Recognition CVPR 2017
Scalable Person Re-Identification on Supervised Smoothed Manifold CVPR 2017
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data CVPR 2017
Kernel functions based on triplet comparisons NIPS 2017
Nonparametric Online Regression while Learning the Metric NIPS 2017
Testing and Learning on Distributions with Symmetric Noise Invariance NIPS 2017
Regret Analysis for Continuous Dueling Bandit NIPS 2017
Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval CVPR 2017
Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation CVPR 2017
Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading IJCAI 2017
A Triplet Ranking-Based Neural Network for Speaker Diarization and Linking INTERSPEECH 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition CVPR 2017
Reranking Translation Candidates Produced by Several Bilingual Word Similarity Sources EACL 2017
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification CVPR 2017
Conditional Similarity Networks CVPR 2017
Learning Deep Binary Descriptor With Multi-Quantization CVPR 2017
Predicting Behaviors of Basketball Players From First Person Videos CVPR 2017