nearest neighbor classification

Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning CVPR 2025 Towards Universal Fake Image Detectors That Generalize Across Generative Models CVPR 2023 Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning CVPR 2022 LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection SemEval 2022 Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams NeurIPS 2021 Predictive Power of Nearest Neighbors Algorithm under Random Perturbation AISTATS 2021 Z-Score Normalization, Hubness, and Few-Shot Learning ICCV 2021 Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference EMNLP 2020 Statistical Guarantees of Distributed Nearest Neighbor Classification NeurIPS 2020 An adaptive nearest neighbor rule for classification NeurIPS 2019 Metric Learning for Dynamic Text Classification EMNLP 2019 Achieving the time of 1-NN, but the accuracy of k-NN AISTATS 2018 Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning CVPR 2018 Multi-task {K}ernel {L}earning Based on {P}robabilistic {L}ipschitzness ALT 2018 Rate of Convergence of k-Nearest-Neighbor Classification Rule JMLR 2018 Fast Classification with Binary Prototypes AISTATS 2017 Two dimensional Large Margin Nearest Neighbor for Matrix Classification IJCAI 2017 K-SRL: Instance-based Learning for Semantic Role Labeling COLING 2016 A Novel Locally Linear KNN Model for Visual Recognition CVPR 2015 Discriminative Metric Learning by Neighborhood Gerrymandering NeurIPS 2014 Maximum Margin Multiclass Nearest Neighbors ICML 2014 Near-optimal sample compression for nearest neighbors NeurIPS 2014 Rates of Convergence for Nearest Neighbor Classification NeurIPS 2014 Stochastic Neighbor Compression ICML 2014 A Latent Source Model for Nonparametric Time Series Classification NeurIPS 2013