nearest neighbor

Private-kNN: Practical Differential Privacy for Computer Vision CVPR 2020 pyDML: A Python Library for Distance Metric Learning JMLR 2020 Robustness for Non-Parametric Classification: A Generic Attack and Defense AISTATS 2020 Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection AAAI 2020 When are Non-Parametric Methods Robust? ICML 2020 Contextual Memory Trees ICML 2019 Explore-Exploit Graph Traversal for Image Retrieval CVPR 2019 Generalization Error Analysis of Quantized Compressive Learning NeurIPS 2019 Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension ACML 2019 Investigating the effect of novel classes in semi-supervised learning ACML 2019 Label-Agnostic Sequence Labeling by Copying Nearest Neighbors ACL 2019 Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation ACL 2019 Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy CVPR 2019 Multi-Dimensional Classification via kNN Feature Augmentation AAAI 2019 Multi-View Anomaly Detection: Neighborhood in Locality Matters AAAI 2019 Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering AAAI 2019 Near-Neighbor Methods in Random Preference Completion AAAI 2019 NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences CVPR 2019 Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors CVPR 2019 Phone Aware Nearest Neighbor Technique Using Spectral Transition Measure for Non-Parallel Voice Conversion Interspeech 2019 Rates of Convergence for Large-scale Nearest Neighbor Classification NeurIPS 2019 Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019 Sampling Wisely: Deep Image Embedding by Top-K Precision Optimization ICCV 2019 SegSort: Segmentation by Discriminative Sorting of Segments ICCV 2019 Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection NeurIPS 2019