metric learning

Curvilinear Distance Metric Learning NeurIPS 2019 Data-Adaptive Metric Learning with Scale Alignment AAAI 2019 Deep Embedding Learning With Discriminative Sampling Policy CVPR 2019 Deep Metric Learning Beyond Binary Supervision CVPR 2019 Deep Metric Learning to Rank CVPR 2019 Deep Metric Learning With Tuplet Margin Loss ICCV 2019 Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing CVPR 2019 Deep Supervised Cross-Modal Retrieval CVPR 2019 Deep Unknown Intent Detection with Margin Loss ACL 2019 Dense Classification and Implanting for Few-Shot Learning CVPR 2019 Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates CVPR 2019 Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification ICCV 2019 Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning AAAI 2019 Divide and Conquer the Embedding Space for Metric Learning CVPR 2019 Domain Generalization via Model-Agnostic Learning of Semantic Features NeurIPS 2019 Dual-View Ranking with Hardness Assessment for Zero-Shot Learning AAAI 2019 Dynamic Curriculum Learning for Imbalanced Data Classification ICCV 2019 End-to-End Losses Based on Speaker Basis Vectors and All-Speaker Hard Negative Mining for Speaker Verification Interspeech 2019 Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering AAAI 2019 Ensemble Deep Manifold Similarity Learning Using Hard Proxies CVPR 2019 Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019 Fast Low-rank Metric Learning for Large-scale and High-dimensional Data NeurIPS 2019 Few-Shot Audio Classification with Attentional Graph Neural Networks Interspeech 2019 Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding AAAI 2019 Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training ICCV 2019