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k-nearest neighbor

152 papers

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Also known as

KNN K-NN

Co-occurring keywords

nearest neighbor (218) metric learning (1190) nearest neighbor search (186) neural machine translation (2310) domain adaptation (4595) few-shot learning (3398) unsupervised learning (3264) anomaly detection (747) non-parametric method (49) neural network (6616)

Papers

Fast Classification with Binary Prototypes AISTATS 2017
k*-Nearest Neighbors: From Global to Local NIPS 2016
Learning Feature Aware Metric ACML 2016
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators NIPS 2016
Learning Deep Representation for Imbalanced Classification CVPR 2016
Dimensionality estimation without distances AISTATS 2015
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing CVPR 2015
Learning Efficient Anomaly Detectors from K-NN Graphs AISTATS 2015
kNN Hashing With Factorized Neighborhood Representation ICCV 2015
Tree-Independent Dual-Tree Algorithms ICML 2013
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ICML 2013
Cluster Trees on Manifolds NIPS 2013
Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms NIPS 2013
Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds CVPR 2013
Non-linear Metric Learning NIPS 2012
Gradient Weights help Nonparametric Regressors NIPS 2012
A Ranking-based KNN Approach for Multi-Label Classification ACML 2012
Efficient anomaly detection using bipartite k-NN graphs NIPS 2011
On the Estimation of $\alpha$-Divergences AISTATS 2011
k-NN Regression Adapts to Local Intrinsic Dimension NIPS 2011
Large Margin Multi-Task Metric Learning NIPS 2010
Breaking Audio CAPTCHAs NIPS 2008
New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006
Large Margin Component Analysis NIPS 2006