nearest neighbor

Geometry-Aware Noisy Correspondence Mitigation for Cross-Modal Text-Based Person Retrieval AAAI 2026 Order-Preserving Dimension Reduction for Multimodal Semantic Embedding AAAI 2026 Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets JMLR 2025 Contextual Bandits for Unbounded Context Distributions ICML 2025 Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks NAACL 2025 Hubness Change Point Detection AAAI 2025 Learning conditional distributions on continuous spaces JMLR 2025 LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025 NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval CVPR 2025 On adaptivity and minimax optimality of two-sided nearest neighbors AISTATS 2025 On Differential Privacy for Adaptively Solving Search Problems via Sketching ICML 2025 On Finding Hubs in High Dimensions with Sampling AAAI 2025 Point-GN: A Non-Parametric Network using Gaussian Positional Encoding for Point Cloud Classification WACV 2025 Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later ICLR 2025 Risk Controlled Image Retrieval AAAI 2025 Run Like a Neural Network, Explain Like k-Nearest Neighbor IJCAI 2025 Attribute-Missing Graph Clustering Network AAAI 2024 CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping ICLR 2024 Generating Diverse Translation with Perturbed kNN-MT EACL 2024 How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024 KFNN: K-Free Nearest Neighbor For Crowdsourcing NeurIPS 2024 KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction EMNLP 2024 Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification EACL 2024 Nearest Neighbor Normalization Improves Multimodal Retrieval EMNLP 2024 Nearest Neighbor Sampling for Covariate Shift Adaptation JMLR 2024