metric learning

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings ICML 2018 Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes IJCAI 2018 Iterative Metric Learning for Imbalance Data Classification IJCAI 2018 Kernelized Subspace Pooling for Deep Local Descriptors CVPR 2018 Learning a neural response metric for retinal prosthesis ICLR 2018 Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders NeurIPS 2018 Learning Deep Descriptors With Scale-Aware Triplet Networks CVPR 2018 Learning Deep Disentangled Embeddings With the F-Statistic Loss NeurIPS 2018 Learning Thematic Similarity Metric from Article Sections Using Triplet Networks ACL 2018 Learning to Compare: Relation Network for Few-Shot Learning CVPR 2018 Learning Wasserstein Embeddings ICLR 2018 Local Descriptors Optimized for Average Precision CVPR 2018 Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models CVPR 2018 Low-Shot Learning With Imprinted Weights CVPR 2018 Memory Matching Networks for One-Shot Image Recognition CVPR 2018 MEnet: A Metric Expression Network for Salient Object Segmentation IJCAI 2018 Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators NeurIPS 2018 Mining on Manifolds: Metric Learning Without Labels CVPR 2018 Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning CVPR 2018 Multi-Level Metric Learning via Smoothed Wasserstein Distance IJCAI 2018 Multi-view Metric Learning in Vector-valued Kernel Spaces AISTATS 2018 OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning CVPR 2018 One-Shot Action Localization by Learning Sequence Matching Network CVPR 2018 One-Shot Relational Learning for Knowledge Graphs EMNLP 2018 Online Heterogeneous Transfer Metric Learning IJCAI 2018