distance metric

Quaternion Ordinal Embedding IJCAI 2022 SpaceMAP: Visualizing High-Dimensional Data by Space Expansion ICML 2022 The Algebraic Path Problem for Graph Metrics ICML 2022 A Partial Label Metric Learning Algorithm for Class Imbalanced Data ACML 2021 Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study Interspeech 2021 Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection CVPR 2021 LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning ICCV 2021 Manifold Matching via Deep Metric Learning for Generative Modeling ICCV 2021 MongeNet: Efficient Sampler for Geometric Deep Learning CVPR 2021 Point-Set Distances for Learning Representations of 3D Point Clouds ICCV 2021 The balancing principle for parameter choice in distance-regularized domain adaptation NeurIPS 2021 A Motion Taxonomy for Manipulation Embedding RSS 2020 Graph Random Neural Features for Distance-Preserving Graph Representations ICML 2020 metric-learn: Metric Learning Algorithms in Python JMLR 2020 Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm IJCAI 2019 Hierarchical Optimal Transport for Document Representation NeurIPS 2019 How Similar Are Two Elections? AAAI 2019 Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances IJCAI 2019 Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition CVPR 2019 Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning AAAI 2019 Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning CVPR 2019 Sliced Gromov-Wasserstein NeurIPS 2019 Zero-shot Metric Learning IJCAI 2019 An Efficient Algorithm To Compute Distance Between Lexicographic Preference Trees IJCAI 2018 A Spline Theory of Deep Learning ICML 2018