k-nearest neighbor

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019 Stochastic Optimization of Sorting Networks via Continuous Relaxations ICLR 2019 Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach EMNLP 2019 Achieving the time of 1-NN, but the accuracy of k-NN AISTATS 2018 Analyzing the Robustness of Nearest Neighbors to Adversarial Examples ICML 2018 A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice NeurIPS 2018 From Predictive Methods to Missing Data Imputation: An Optimization Approach JMLR 2018 Neural Nearest Neighbors Networks NeurIPS 2018 Nonparametric Preference Completion AISTATS 2018 Exemplar-centered Supervised Shallow Parametric Data Embedding IJCAI 2017 Fast Classification with Binary Prototypes AISTATS 2017 Minimax-optimal semi-supervised regression on unknown manifolds AISTATS 2017 ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices ICML 2017 Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators NeurIPS 2016 k*-Nearest Neighbors: From Global to Local NeurIPS 2016 Learning Deep Representation for Imbalanced Classification CVPR 2016 Learning Feature Aware Metric ACML 2016 Phonetic and Phonological Posterior Search Space Hashing Exploiting Class-Specific Sparsity Structures Interspeech 2016 Dimensionality estimation without distances AISTATS 2015 kNN Hashing With Factorized Neighborhood Representation ICCV 2015 Learning Efficient Anomaly Detectors from K-NN Graphs AISTATS 2015 Matching-CNN Meets KNN: Quasi-Parametric Human Parsing CVPR 2015 Optimal rates for k-NN density and mode estimation NeurIPS 2014 Cluster Trees on Manifolds NeurIPS 2013 Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds CVPR 2013