nearest neighbor graph

MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval EMNLP 2025 Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting ICML 2025 Recovering Manifold Structure Using Ollivier Ricci Curvature ICLR 2025 Structural-Entropy-Based Sample Selection for Efficient and Effective Learning ICLR 2025 Spectral learning of multivariate extremes JMLR 2024 On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data NeurIPS 2023 Unsupervised visualization of image datasets using contrastive learning ICLR 2023 Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification CVPR 2022 Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction CVPR 2022 Consistent recovery threshold of hidden nearest neighbor graphs COLT 2020 Phenotyping with Prior Knowledge using Patient Similarity MLHC 2020 Explore-Exploit Graph Traversal for Image Retrieval CVPR 2019 Label Propagation for Deep Semi-Supervised Learning CVPR 2019 Learning Nearest Neighbor Graphs from Noisy Distance Samples NeurIPS 2019 Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis JMLR 2017 Spectral Clustering Based on Local PCA JMLR 2017 Dimensionality estimation without distances AISTATS 2015 Density estimation from unweighted k-nearest neighbor graphs: a roadmap NeurIPS 2013 Key Instance Detection in Multi-Instance Learning ACML 2012 Efficient anomaly detection using bipartite k-NN graphs NeurIPS 2011 Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NeurIPS 2010 Locally Linear Denoising on Image Manifolds AISTATS 2010 Anomaly Detection with Score functions based on Nearest Neighbor Graphs NeurIPS 2009 Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection JMLR 2009 Influence of graph construction on graph-based clustering measures NeurIPS 2008