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Metric Learning

172 directly classified papers

Papers per year

Papers

Soft Labels for Ordinal Regression CVPR 2019
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints CVPR 2018
Deep Discriminative Embeddings for Duration Robust Speaker Verification INTERSPEECH 2018
Triplet Loss Based Cosine Similarity Metric Learning for Text-independent Speaker Recognition INTERSPEECH 2018
Learning Discriminative Features for Speaker Identification and Verification INTERSPEECH 2018
Cross-Modality Person Re-Identification with Generative Adversarial Training IJCAI 2018
Tree Edit Distance Learning via Adaptive Symbol Embeddings ICML 2018
Monocular Relative Depth Perception With Web Stereo Data Supervision CVPR 2018
Ring Loss: Convex Feature Normalization for Face Recognition CVPR 2018
Diverse Few-Shot Text Classification with Multiple Metrics NAACL 2018
Relative Attribute Learning with Deep Attentive Cross-image Representation ACML 2018
Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination CVPR 2018
Learning Low-Dimensional Metrics NIPS 2017
Viraliency: Pooling Local Virality CVPR 2017
Online Asymmetric Similarity Learning for Cross-Modal Retrieval CVPR 2017
Learning an Invariant Hilbert Space for Domain Adaptation CVPR 2017
TextFlow: A Text Similarity Measure based on Continuous Sequences ACL 2017
Working hard to know your neighbor's margins: Local descriptor learning loss NIPS 2017
On the Power and Limits of Distance-Based Learning ICML 2016
Actively Learning Hemimetrics with Applications to Eliciting User Preferences ICML 2016
Large Margin Discriminant Dimensionality Reduction in Prediction Space NIPS 2016
Learning Reconstruction-Based Remote Gaze Estimation CVPR 2016
Sliced Wasserstein Kernels for Probability Distributions CVPR 2016
Beyond Mahalanobis Metric: Cayley-Klein Metric Learning CVPR 2015
BOLD - Binary Online Learned Descriptor For Efficient Image Matching CVPR 2015