k-nearest neighbor

Instance Selection: A Bayesian Decision Theory Perspective AAAI 2022 KNN-Contrastive Learning for Out-of-Domain Intent Classification ACL 2022 KNN Local Attention for Image Restoration CVPR 2022 Monotone Learning COLT 2022 Multi-class classification in nonparametric active learning AISTATS 2022 Nearest Neighbor Knowledge Distillation for Neural Machine Translation NAACL 2022 Non-Parametric Domain Adaptation for End-to-End Speech Translation EMNLP 2022 Non-parametric Inference Adaptive to Intrinsic Dimension CLeaR 2022 Non-parametric Online Learning from Human Feedback for Neural Machine Translation AAAI 2022 Optimal Binary Classification Beyond Accuracy NeurIPS 2022 Personalized Federated Learning through Local Memorization ICML 2022 Plug and Play Knowledge Distillation for kNN-LM with External Logits AACL 2022 Regret Bounds for Multilabel Classification in Sparse Label Regimes NeurIPS 2022 sunny-as2: Enhancing SUNNY for Algorithm Selection (Extended Abstract) IJCAI 2022 Textomics: A Dataset for Genomics Data Summary Generation ACL 2022 Towards Robust k-Nearest-Neighbor Machine Translation EMNLP 2022 TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s NeurIPS 2022 Under-bagging Nearest Neighbors for Imbalanced Classification JMLR 2022 Universal Online Learning: an Optimistically Universal Learning Rule COLT 2022 Unsupervised Word Segmentation using K Nearest Neighbors Interspeech 2022 Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery EMNLP 2022 You can’t pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM EMNLP 2022 Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams NeurIPS 2021 ARCH: Efficient Adversarial Regularized Training with Caching EMNLP 2021 Efficient Classification with Adaptive KNN AAAI 2021