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Metric Learning

2800 directly classified papers

Papers per year

Papers

Off-Topic Spoken Response Detection Using Siamese Convolutional Neural Networks INTERSPEECH 2017
Optical Flow Requires Multiple Strategies (but Only One Network) CVPR 2017
Learning an Invariant Hilbert Space for Domain Adaptation CVPR 2017
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks NIPS 2017
A Robust-Equitable Measure for Feature Ranking and Selection JMLR 2017
Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis JMLR 2017
Nearly optimal classification for semimetrics JMLR 2017
Designing Effective Inter-Pixel Information Flow for Natural Image Matting CVPR 2017
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation IJCNLP 2017
Template Matching With Deformable Diversity Similarity CVPR 2017
Order-Preserving Wasserstein Distance for Sequence Matching CVPR 2017
Object-Aware Dense Semantic Correspondence CVPR 2017
Deep Kernels for Optimizing Locomotion Controllers CORL 2017
A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds CVPR 2017
Online Graph Completion: Multivariate Signal Recovery in Computer Vision CVPR 2017
Online Asymmetric Similarity Learning for Cross-Modal Retrieval CVPR 2017
Quality Aware Network for Set to Set Recognition CVPR 2017
Convolutional Neural Network Architecture for Geometric Matching CVPR 2017
Cross-Modality Binary Code Learning via Fusion Similarity Hashing CVPR 2017
NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance CVPR 2017
On Kernelized Multi-armed Bandits ICML 2017
Measuring Sample Quality with Kernels ICML 2017
A Unified View of Multi-Label Performance Measures ICML 2017
Multi-Class Optimal Margin Distribution Machine ICML 2017
Learning Deep Semantic Embeddings for Cross-Modal Retrieval ACML 2017