distance metric

Rethinking Metrics for Lexical Semantic Change Detection EACL 2026 Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning CVPR 2025 Less is More: The Effectiveness of Compact Typological Language Representations EMNLP 2025 MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval EMNLP 2025 Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025 Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation CLeaR 2025 T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation AAAI 2025 Acceleration of Posteriorgram-based DTW by Distilling the Class-to-class Distances Encoded in the Classifier Used to Calculate Posteriors Interspeech 2024 A New Dataset for Tonal and Segmental Dialectometry from the Yue- and Pinghua-Speaking Area EACL 2024 Distances for Markov Chains, and Their Differentiation ALT 2024 Entropic Gromov-Wasserstein Distances: Stability and Algorithms JMLR 2024 Hyperbolic Anomaly Detection CVPR 2024 Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation AAAI 2024 Certified Defense for Content Based Image Retrieval WACV 2023 Measuring axiomatic soundness of counterfactual image models ICLR 2023 Metric Nearness Made Practical AAAI 2023 On Distance and Kernel Measures of Conditional Dependence JMLR 2023 Reachability-Aware Laplacian Representation in Reinforcement Learning ICML 2023 Variable importance matching for causal inference UAI 2023 A Difference Standardization Method for Mutual Transfer Learning ICML 2022 Binary Encoded Word Mover’s Distance ACL 2022 Deep Causal Metric Learning ICML 2022 MALTS: Matching After Learning to Stretch JMLR 2022 One for All: Simultaneous Metric and Preference Learning over Multiple Users NeurIPS 2022 Provably Adversarially Robust Nearest Prototype Classifiers ICML 2022