metric learning

Learning metrics for persistence-based summaries and applications for graph classification NeurIPS 2019 Learning Metrics From Teachers: Compact Networks for Image Embedding CVPR 2019 Learning Multiple Maps from Conditional Ordinal Triplets IJCAI 2019 Learning Nearest Neighbor Graphs from Noisy Distance Samples NeurIPS 2019 Learning Neural Bag-of-Matrix-Summarization with Riemannian Network AAAI 2019 Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances IJCAI 2019 Learning Shape-Aware Embedding for Scene Text Detection CVPR 2019 Learning Similarity Conditions Without Explicit Supervision ICCV 2019 Learning to Learn with Conditional Class Dependencies ICLR 2019 Learning With Average Precision: Training Image Retrieval With a Listwise Loss ICCV 2019 Local Aggregation for Unsupervised Learning of Visual Embeddings ICCV 2019 Lorentzian Distance Learning for Hyperbolic Representations ICML 2019 Maximum-Margin Hamming Hashing ICCV 2019 Measuring Compositionality in Representation Learning ICLR 2019 Memory-Based Neighbourhood Embedding for Visual Recognition ICCV 2019 Metric Learning for Adversarial Robustness NeurIPS 2019 Metric Learning for Dynamic Text Classification EMNLP 2019 Metric Learning for Image Registration CVPR 2019 Metric Learning on Healthcare Data with Incomplete Modalities IJCAI 2019 Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings ICCV 2019 MIC: Mining Interclass Characteristics for Improved Metric Learning ICCV 2019 Mining Polysemous Triplets with Recurrent Neural Networks for Spoken Language Understanding Interspeech 2019 Mitigating Uncertainty in Document Classification NAACL 2019 Modeling Uncertainty with Hedged Instance Embeddings ICLR 2019 Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification ACL 2019