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nearest neighbor

218 papers

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Also known as

NN

Co-occurring keywords

k-nearest neighbor (152) metric learning (1190) nearest neighbor search (186) few-shot learning (3398) contrastive learning (4032) neural network (6616) image retrieval (600) representation learning (6206) metric space (87) kernel methods (1097)

Papers

Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution NIPS 2024
Unveiling the mystery of visual attributes of concrete and abstract concepts: Variability, nearest neighbors, and challenging categories EMNLP 2024
Nearest Neighbor Dirichlet Mixtures JMLR 2023
kNN-CM: A Non-parametric Inference-Phase Adaptation of Parametric Text Classifiers EMNLP 2023
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation ACL 2023
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations ACL 2023
Iterative Nearest Neighbour Machine Translation for Unsupervised Domain Adaptation ACL 2023
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation ACL 2023
Training-Time Attacks against K-nearest Neighbors AAAI 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation ICML 2023
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing NIPS 2023
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression NIPS 2023
Nearest Neighbour with Bandit Feedback NIPS 2023
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification EMNLP 2023
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization CVPR 2023
Skill-Based Few-Shot Selection for In-Context Learning EMNLP 2023
Mao-Zedong at SemEval-2023 Task 4: Label Represention Multi-Head Attention Model with Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification SEMEVAL 2023
Precision Recall Cover: A Method For Assessing Generative Models AISTATS 2023
Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries EMNLP 2023
ResMem: Learn what you can and memorize the rest NIPS 2023
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis WACV 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings CVPR 2023
A Statistical Perspective on Retrieval-Based Models ICML 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection ICCV 2023