Metric Learning

metric-learn: Metric Learning Algorithms in Python JMLR 2020 Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection JMLR 2020 Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval AAAI 2020 Model-Agnostic Metric for Zero-Shot Learning WACV 2020 Modelling Long-distance Node Relations for KBQA with Global Dynamic Graph COLING 2020 Moving in the Right Direction: A Regularization for Deep Metric Learning CVPR 2020 Multi-Feedback Bandit Learning with Probabilistic Contexts IJCAI 2020 Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification CVPR 2020 Multi-Modality Cross Attention Network for Image and Sentence Matching CVPR 2020 Multi-task Batch Reinforcement Learning with Metric Learning NeurIPS 2020 Neighborhood Matching Network for Entity Alignment ACL 2020 Network Representation Learning Algorithm Based on Neighborhood Influence Sequence ACML 2020 Neural-DINF: A Neural Network based Framework for Measuring Document Influence ACL 2020 Neural Methods for Point-wise Dependency Estimation NeurIPS 2020 Neural Snowball for Few-Shot Relation Learning AAAI 2020 New Advances in Speaker Diarization Interspeech 2020 On Adaptive Distance Estimation NeurIPS 2020 On Convergence of Nearest Neighbor Classifiers over Feature Transformations NeurIPS 2020 One-Shot Image Classification by Learning to Restore Prototypes AAAI 2020 Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification CVPR 2020 Online Metric Learning for Multi-Label Classification AAAI 2020 On Mahalanobis Distance in Functional Settings JMLR 2020 On Parameter Adaptation in Softmax-Based Cross-Entropy Loss for Improved Convergence Speed and Accuracy in DNN-Based Speaker Recognition Interspeech 2020 On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels COLT 2020 Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection AAAI 2020