nearest neighbor classifier

A Hybrid Weighted Nearest Neighbour Classifier for Semi-Supervised Learning JMLR 2025 Fast and Multiphase Rates for Nearest Neighbor Classifiers COLT 2025 In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning ACL 2025 One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NeurIPS 2024 An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023 A Soft Nearest-Neighbor Framework for Continual Semi-Supervised Learning ICCV 2023 Distributionally robust weighted k-nearest neighbors NeurIPS 2022 Federated Nearest Neighbor Classification with a Colony of Fruit-Flies AAAI 2022 MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning AAAI 2022 On Generalizations of Some Distance Based Classifiers for HDLSS Data JMLR 2022 Grafit: Learning Fine-Grained Image Representations With Coarse Labels ICCV 2021 Nearest Neighbor Classifier Embedded Network for Active Learning AAAI 2021 Attribute Propagation Network for Graph Zero-Shot Learning AAAI 2020 On Convergence of Nearest Neighbor Classifiers over Feature Transformations NeurIPS 2020 pyDML: A Python Library for Distance Metric Learning JMLR 2020 An adaptive nearest neighbor rule for classification NeurIPS 2019 Generalization Error Analysis of Quantized Compressive Learning NeurIPS 2019 Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019 Active Nearest-Neighbor Learning in Metric Spaces JMLR 2018 Analyzing the Robustness of Nearest Neighbors to Adversarial Examples ICML 2018 A Property Testing Framework for the Theoretical Expressivity of Graph Kernels IJCAI 2018 Theoretical Analysis of Cross-Validation for Estimating the Risk of the k-Nearest Neighbor Classifier JMLR 2018 To Trust Or Not To Trust A Classifier NeurIPS 2018 Building a Regular Decision Boundary With Deep Networks CVPR 2017 Two dimensional Large Margin Nearest Neighbor for Matrix Classification IJCAI 2017